Economic Researcher Jobs in Egypt

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p><p><br></p><p><b>Responsibilities</b></p><ul><li>Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.</li><li>Identify and propose ML opportunities related to your scope and beyond</li><li>Support with requirements definition and prioritization of ML projects</li><li>Collaborate with cross-functional Engineering and Product teams</li><li>Champion Data Quality as a critical input component to all ML solutions and Analytics</li><li>Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering</li><li>Utilize Statistical and ML techniques, as appropriate, for model training</li><li>Validate and tune ML models</li><li>Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights</li><li>Deploy and test ML applications using our MLOps infrastructure</li><li>Monitor ML models on their technical performance, business impact and underlying data / concept drift</li><li>Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting</li><li>Maintain and improve technical documentation of delivered solutions</li><li>Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams</li><li>Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics</li><li>Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)</li><li>Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.</li><li>Comfortable with key Statistical concepts, such as statistical testing and causal analysis</li><li>Analytical thinking and problem solving skills</li><li>Engineering mindset focused towards delivering robust applied data science solutions</li><li>Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling</li><li>Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred</li><li>Mastering of the end-to-end (ML) model development lifecycle</li><li>Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English</li><li>Positive attitude and resilience</li><li>Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building</li><li>Internal drive, self-motivation and ability to work independently including own effective project management</li></ul><p><strong>Nice to have</strong></p><ul><li>Experience with Financial Services companies</li><li>Experience working on ML features for Digital Products (apps, websites)</li><li>Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects</li></ul><p></p></section>

Description synthétique du poste<br><br>Vous participez aux missions générales d’une UMIFRE : production de nouveaux savoirs, d’observations et d’analyses en sciences humaines et sociales, échanges entre chercheurs français et locaux, formation des jeunes chercheurs, internationalisation de la recherche française, contribution au débat d’idée, en lien avec le réseau diplomatique et culturel français, participation active à la vie scientifique et institutionnelle du centre de recherche. Vous conduirez un programme de recherche dans le domaine des sciences sociales et humaines (SHS) sur l’Egypte au sein du Centre d'études et de documentation économique, juridique et sociale (CEDEJ) au Caire, placé sous la triple tutelle du ministère de l’Europe et des Affaires étrangères (MEAE), du MESR et du Centre national de la recherche scientifique (CNRS).<br><br>Activités principales<br><br>Le CEDEJ est une Unité mixte des Institut français de recherche à l’étranger (UMIFRE) sous la tutelle du Ministère de l’Europe et des Affaires étrangères (MEAE), du Ministère de l’Enseignement supérieur, de la Recherche et de l’Espace (MESRE) et du Centre national de la recherche scientifique (CNRS) qui travaille en lien avec les ambassades de France de rattachement et de résidence. Sous l’autorité du directeur, le/la chercheur(se) aura pour responsabilité de :<br><br> Développer un programme de recherche impliquant un travail de terrain et s’inscrivant dans l’un des axes de recherche du centre (cf. descriptif des programmes de recherche sur le site internet du CEDEJ). Ce programme contribuera au développement de partenariats, notamment avec des universités et institutions de recherche nationales, régionales et locales ; Participer à la vie scientifique du centre, y compris aux activités : o de valorisation et diffusion de la recherche lors de manifestations scientifiques, séminaires de recherche et séminaires méthodologiques, o d’appui au travail d'édition de la revue, o d’accueil des doctorants et post-doctorants Champs de recherche prioritaires : dynamiques politiques, sociales, culturelles, religieuses, économiques, urbaines ou territoriales de l’Égypte contemporaine, santé, alimentation. S’intégrer dans une équipe de recherche pluridisciplinaire et participer aux activités scientifiques du CEDEJ, constituer et animer des réseaux locaux, régionaux et internationaux de chercheurs et établir régulièrement des rapports d’activité individuels et collectifs.<br><br>Diplômes ou expérience professionnelle recommandée pour exercer les fonctions<br><br>Doctorat d’un établissement d’enseignement supérieur européen ou diplôme universitaire étranger équivalent. Le chercheur devra maîtriser les langues anglaise et arabe (certificats de niveau en cours de validité requis), ainsi qu’avoir une connaissance fine de la recherche en sciences humaines et sociales et des réseaux universitaires et scientifiques régionaux, européens et internationaux. Lorsque le français n’est pas la langue maternelle du candidat, une certification C2 du cadre européen commun de référence pour les langues (CECRL) est requise. La connaissance ou la maîtrise d’une langue locale constituerait un atout. La connaissance de la région également.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Purpose To contribute to excellence in teaching, learning, and student experience within the field of Accounting, Taxation, Auditing, and Finance. To deliver high-quality teaching across a range of accounting and finance disciplines, including Accounting Information Systems, Financial Accounting, Managerial Accounting, Taxation, Financial Reporting, Auditing, and Assurance. To contribute to the School s academic objectives through a combination of teaching, scholarship, research, enterprise activities, and academic leadership, while supporting the internationalisation of higher education and fostering an inclusive learning environment. To develop and maintain a growing profile in teaching, scholarship, research, and external engagement, with an increasing contribution to research activity, income generation, and knowledge exchange within the Accounting and Finance discipline.</p><p>Main Duties and Responsibilities</p><ul><li>Design, develop, and deliver high-quality teaching, learning, and assessment activities at undergraduate and postgraduate levels, including module leadership where appropriate, ensuring alignment with curriculum requirements and academic standards.</li><li>Contribute to curriculum development, enhancement, and review processes, embedding international, intercultural, and industry-relevant perspectives within programmes and modules.</li><li>Employ innovative and effective pedagogical approaches, digital learning technologies, and a variety of learning resources to enhance student engagement, achievement, and overall learning outcomes.</li><li>Ensure teaching and assessment practices are informed by contemporary research, professional standards, and current developments within the Accounting and Finance discipline.</li><li>Foster critical thinking, analytical skills, professional judgement, and intellectual curiosity among students, enabling them to engage effectively with academic and professional debates.</li><li>Provide academic guidance, personal tutoring, and pastoral support to students, contributing to their academic success, wellbeing, employability, and overall university experience.</li><li>Participate in student recruitment, outreach, open days, employability initiatives, and other activities that enhance student engagement and support School objectives.</li><li>Engage actively in quality assurance and enhancement activities, including module evaluation, peer review, student feedback processes, and continuous improvement initiatives.</li><li>Develop and maintain effective relationships with industry partners, professional bodies, employers, and external stakeholders in Egypt and internationally to support teaching, research, consultancy, and knowledge exchange activities.</li><li>Contribute effectively to School, Faculty, and University committees, working groups, and administrative activities, while collaborating positively with colleagues across disciplines.</li><li>Undertake continuous professional development to maintain subject expertise, enhance teaching practice, and support research and scholarly activity.</li><li>Contribute to research, scholarship, and knowledge exchange activities through academic publications, conference participation, professional engagement, and collaboration with internal and external research communities.</li><li>Support the development of externally funded projects, consultancy activities, research grants, and other income-generating initiatives that contribute to the School s strategic objectives.</li><li>Develop national and international academic and professional networks that enhance the reputation, impact, and external engagement of the School.</li><li>Where appropriate, supervise undergraduate and postgraduate research projects and contribute to the development of future researchers within the discipline.</li></ul></div></section>

Job Title: Senior Research Associate Location: Cairo, Egypt Employing Entity: Essam & May Allam Foundation (EMAF) Reports to: Mariam Essam Allam (EMAF Founder); Asim Khwaja (Harvard University, Project PI)<br>The Essam & May Allam Foundation (EMAF), established in 2025 by the Essam Hassan Allam family, is dedicated to breaking the cycle of poverty in Egypt through evidence-based, high-impact initiatives in agriculture and education. To this end, EMAF has entered into a strategic collaboration with the Harvard Center for International Development (CID) to advance effective philanthropy and evidence-based programming in early childhood and primary education across Egypt. The Center for International Development (CID) is Harvard University’s hub for cutting-edge research on the world’s most pressing international development issues. Based at Harvard Kennedy School, CID brings researchers and practitioners together across the university to collaborate, using the latest analytical tools to address pressing development challenges. CID organizes global talent worldwide by investing in people, places, and ideas to build a thriving world for all. The Senior Research Associate will be based at EMAF and work under the direction of Principal Investigator Asim Khwaja and the management team at CID to support the implementation of the Egypt Education Systems Opportunity Assessment project. The Opportunity Assessment seeks to identify high-leverage opportunities for philanthropic investment, policy innovation, and future research collaboration in Egypt’s education sector, with an initial focus on early childhood and primary education. Drawing on existing evidence, stakeholder engagement, and targeted fieldwork, the project will identify key challenges, evidence gaps, and promising investment and policy opportunities to improve education outcomes in Egypt. Based in Egypt, the Senior Research Associate will play a central role in designing and implementing mixed-methods research activities that inform the Opportunity Assessment’s findings and recommendations. Working closely with the Principal Investigator team and local collaborators, the successful candidate will lead qualitative fieldwork activities, contribute to the interpretation of quantitative evidence, support project coordination, and contribute to the analysis and synthesis of evidence from a wide range of stakeholders. The position offers a unique opportunity to work at the intersection of research, policy, and practice while collaborating with leading researchers, policymakers, practitioners, and development stakeholders in Egypt and internationally. Research Design, Fieldwork, and Analysis• Lead the implementation of mixed-methods research activities for the Egypt Education Systems Opportunity Assessment project, under direction of senior team members.• Develop interview guides, focus group discussion protocols, stakeholder engagement tools, and other qualitative research instruments in collaboration with the Principal Investigator team and senior project leadership.• Conduct interviews, focus groups, and other qualitative data collection activities.• Analyze and synthesize qualitative and, where available, quantitative evidence to identify key themes, constraints, opportunities, and implications for future research, policy, and philanthropic investment.• Contribute to the compilation, interpretation, and synthesis of quantitative datasets and descriptive statistical analyses to complement qualitative findings and inform project recommendations.• Contribute to the identification of priority research questions, evidence gaps, and areas requiring additional primary data collection.• Implement evidence-informed frameworks to assess the feasibility, scalability, and potential cost-effectiveness of proposed interventions, research initiatives, and philanthropic investment opportunities.• Contribute to the preparation of reports, presentations, policy briefs, stakeholder memos, and other written outputs for academic, policy, philanthropic, and practitioner audiences. Field Operations and Stakeholder Engagement• Develop fieldwork plans, data collection protocols, quality assurance systems, and training materials to ensure high-quality implementation of research activities.• Coordinate field logistics, scheduling, stakeholder outreach, and data collection activities across multiple locations in Egypt, including potentially recruiting, training, and supervising enumerators as needed.• Monitor fieldwork progress and data quality and ensure adherence to research ethics requirements, informed consent procedures, and other applicable research protocols and standards.• Support engagement with local stakeholders by helping identify interview participants, facilitating meetings, and maintaining productive relationships with research participants and collaborating organizations.• Provide regular updates, analysis, and recommendations to project leadership regarding research findings, implementation considerations, and emerging opportunities.• Contribute to other related research, fieldwork, and project activities as required. Basic Qualifications• Master’s degree in education, public policy, international development, economics, sociology, political science, anthropology, or a related field.• Minimum of 3 years of relevant professional experience conducting applied research, policy research, program evaluation, or related work.• Demonstrated experience designing and implementing mixed-methods research activities, with a strong understanding of qualitative and quantitative research methods and the ability to synthesize evidence from multiple sources into policy-relevant recommendations.• Demonstrated ability to manage multiple priorities, work independently, and deliver high-quality outputs in a fast-paced environment.• Experience working with government agencies, international organizations, research institutions, civil society organizations, or philanthropic actors.• Strong interpersonal skills and demonstrated ability to engage effectively with stakeholders from diverse professional, institutional, and cultural backgrounds.• Excellent written and verbal communication skills in both Arabic and English.• Willingness to travel within Egypt as required. Additional Qualifications and Skills• Experience conducting research or programmatic work related to education, human development, social policy, or international development.• Strong qualitative data analysis skills, including experience with coding frameworks and qualitative analysis software such as NVivo, Atlas.ti, or similar tools.• Experience working with administrative, survey, or other quantitative datasets and familiarity with descriptive statistical analysis and software packages such as Stata, R, or Python is desirable.• Experience developing reports, policy briefs, presentations, or other written products for government, donor, academic, or practitioner audiences.• Familiarity with research ethics processes, informed consent procedures, and human subjects research protocols. How to apply: Please direct all application materials to admin@allamfoundation.com, ccing sabribenzaid@hks.harvard.edu. Please include the following materials with your application packet:· Resume· Cover Letter· Two writing samples:o One data related writing sample, demonstrating analytical ability to understand and interpret qualitative or quantitative data (a mixed methods example would be most ideal).o One report, policy brief, presentation, or other written products for government/donor/practitioner audiences demonstrating the ability to translate research for external audiences.· Transcripts for undergraduate and graduate degrees, as applicable If AI was used to prepare any part of your application, especially writing samples, please include a 1 paragraph explanation of what AI tools you used and how.

Reports to: Deputy Director, CARES<br>Purpose:The job holder will manage the operation and maintenance (O&M) of the Center for Applied Research on the Environment and Sustainability (CARES) facilities in desalination, aquaculture, and agriculture. He or She will provide critical support for ongoing CARES experiments, ensuring their efficient execution and smooth day-to-day operation.<br>Responsibilities:Operations and Maintenance: Manage O&M of desalination, agriculture, and aquaculture facilities, ensuring sustainability, efficiency, and cost-effectiveness Research and Experiment Support: Supervise the execution of CARES experiments, providing technical support to researchers and staff Policies and Procedures: Develop, update, and implement O&M policies and SOPsFacility Upgrades and Infrastructure: Lead upgrades for infrastructure, equipment, and systems Safety and Compliance: Maintain safe work environments and ensure compliance with health and safety standards Emergency Management: Respond to operational emergencies, investigate causes, and implement corrective actions Inventory and Procurement: Manage spare parts, consumables, and supplier or service provider databases, initiate procurement as needed Contractor Oversight: Liaise with contractors to ensure quality, timely, and cost-effective delivery of services Reporting and Documentation: Prepare O&M reports and maintain facility-related documentation Scheduling and Task Prioritization: Plan daily operations, set priorities, and monitor task completion<br>Requirements:Minimum Education Requirements:Bachelor’s degree in mechanical, chemical, electrical, or civil engineering<br>Experience:Minimum of 10 years’ experience in process engineering, with a focus on water-related processes such as desalination, water treatment or aquaculture systems Proven experience in water process design, including technical calculations for component sizing, pump selection, piping, and valves<br>Skills:Advanced knowledge of O&M systems and compliance frameworks Strong leadership, mentoring, and problem-solving skills Proficient in business software, including Microsoft Word, Excel, and Power Point Strong interpersonal skills, being able to engage effectively with contractors, researchers, and all relevant stakeholders Highly detail-oriented and exceptionally organized Self-motivated, creative, and energetic Able to work effectively under pressure Skilled at multitasking and tracking progress across multiple activities Capable of preparing detailed project Bills of Materials (BOM), as well as technical and financial reports<br>This position is open until August 9, 2026Placement is based on the candidate’s experience and skills. Only candidates who make it to the shortlist will be contacted<br>"The American University in Cairo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals with disabilities are encouraged to apply."<br>“We thank all individuals who have expressed interest in working at The American University in Cairo.”

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br> <p><span>Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <br><br><p><b>About the Team</b></p><br><ul><li>The AI team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!<br></li></ul><br><p><b>Responsibilities</b></p><br><ul> <li> <p>Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.</p><br> </li> <li> <p>Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.</p><br> </li> <li> <p>Identify and propose ML opportunities related to your scope and beyond</p><br> </li> <li> <p>Support with requirements definition and prioritization of ML projects</p><br> </li> <li> <p>Collaborate with cross-functional Engineering and Product teams</p><br> </li> <li> <p>Champion Data Quality as a critical input component to all ML solutions and Analytics</p><br> </li> <li> <p>Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering</p><br> </li> <li> <p>Utilize Statistical and ML techniques, as appropriate, for model training</p><br> </li> <li> <p>Validate and tune ML models</p><br> </li> <li> <p>Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights</p><br> </li> <li> <p>Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift</p><br> </li> <li> <p>Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting</p><br> </li> <li> <p>Maintain and improve technical documentation of delivered solutions</p><br> </li> <li> <p>Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams</p><br> </li> <li> <p>Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities</p><br> <br></li> </ul><br><p><b>Key Requirements - Essential</b></p><br><ul> <li><ul> <li> <p><span>Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics</span></p><br> </li> <li> <p><span>Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)</span></p><br> </li> <li> <p><span>Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.</span></p><br> </li> <li> <p><span>Comfortable with key Statistical concepts, such as statistical testing and causal analysis</span></p><br> </li> <li> <p><span>Analytical thinking and problem solving skills</span></p><br> </li> <li> <p><span>Engineering mindset focused towards delivering robust applied data science solutions</span></p><br> </li> <li> <p><span>Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling</span></p><br> </li> <li> <p><span>Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred</span></p><br> </li> <li> <p><span>Mastering of the end-to-end (ML) model development lifecycle</span></p><br> </li> <li> <p><span>Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English</span></p><br> </li> <li> <p><span>Positive attitude and resilience</span></p><br> </li> <li> <p><span>Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building</span></p><br> </li> <li> <p><span>Internal drive, self-motivation and ability to work independently including own effective project management</span></p><br> </li> </ul><br></li></ul><br><p><b>Nice to have</b></p><br><ul> <li><ul> <li> <p><span>Experience with Financial Services companies</span></p><br> </li> <li> <p><span>Experience working on ML features for Digital Products (apps, websites)</span></p><br> </li> <li> <p><span>Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects</span></p><br> </li> </ul><br></li></ul><br> </div>

Job Description<br><br>ABAP / Fiori Developers<br><br>Core Experience<br><br>ABAP Object-Oriented Programming, CDS views and RESTful ABAP Programming Model SAP Fiori/UI5 application development and extension Experience developing RICEFW objects: Reports, Interfaces, Conversions, Enhancements, Forms, Workflows Strong knowledge of user exits, BAdIs and the enhancement framework Good knowledge of performance tuning and debugging tools Functional knowledge across Finance, HR and SCM data objects<br><br>Key Competencies<br><br>5+ years in SAP ABAP/Fiori development Experience in writing technical specifications, unit test scripts and code documentation Experience supporting large customer implementations with complex custom development Experience in root cause analysis and defect resolution Should be able to communicate directly with the business users and resolve the issues Capacity to understand business requirements from a client's point of view Capacity to work in a group domain, viably cooperating with others Must be results-oriented with full ownership Capacity to perform multiple tasks and deal with different expectations and undertakings simultaneously Strong fundamental knowledge in domain areas Strong communication skills<br><br>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.<br><br>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

Company Description Egy Property is a real estate platform focused on creating a safe and trusted community where people can easily buy, sell, or rent properties. The company is dedicated to offering a smooth, reliable experience for clients seeking residential or commercial real estate solutions. With a strong emphasis on customer service and transparent processes, Egy Property aims to be the first choice for property seekers and owners. Team members benefit from working in a professional environment that values integrity, market knowledge, and long-term client relationships. Role Description The Sales Real Estate Agent at Egy Property is a full-time, on-site role based in New Cairo. The agent will handle client inquiries, conduct property viewings, and guide clients through the buying, selling, or renting process. Daily tasks include maintaining updated listings, following up with potential and existing clients, negotiating offers, and preparing basic sales documentation in coordination with the team. The role involves building strong relationships with clients, staying informed about local market trends, and collaborating with colleagues to meet individual and team sales targets. Qualifications 6 months to 1 year of experience in real estate sales or a closely related customer-facing role. Strong communication and interpersonal skills, with the ability to build trust and rapport with diverse clients. Basic negotiation and sales skills, including the ability to present properties clearly and handle objections professionally. Good organizational and time-management abilities to manage multiple clients, property visits, and follow-ups. Comfort with using phones, email, and messaging tools; familiarity with CRM or property listing platforms is an advantage. Knowledge of the New Cairo real estate market is preferred, or willingness to learn quickly. Ability to work on-site in New Cairo and adapt to a fast-paced, target-driven environment. High level of integrity and commitment to providing a safe, transparent client experience. Relevant diploma or bachelor’s degree in Business, Marketing, or a related field is a plus, but not strictly required.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><br><p><b>SuccessFactors Talent Management Consultant</b></p><br><p>Core Experience:</p><br><ul><li>SAP SuccessFactors Performance &amp; Goals, Succession and Career Development</li><li>Experience configuring calibration, talent review and succession pool processes</li><li>Strong integration experience between Talent modules and Compensation/Employee Central</li><li>Good knowledge of MDF (Metadata Framework) based extensions</li><li>Functional knowledge of competency and career path frameworks</li><li>Understanding of talent analytics and workforce insights</li></ul><p>Key Competencies:</p><br><ul><li>10 to 12 years in SAP HR/SuccessFactors Talent consulting</li><li>Experience in blueprinting and writing functional specifications, help manuals and test scripts</li><li>Experience supporting large-scale talent management implementations</li><li>Experience in creating root cause analysis for talent process issues</li><li>Should be able to communicate directly with the business users and resolve the issues</li><li>Capacity to understand business requirements from a client's point of view</li><li>Capacity to work in a group domain, viably cooperating with others</li><li>Must be results-oriented with full ownership</li><li>Capacity to perform multiple tasks and deal with different expectations and undertakings simultaneously</li><li>Strong fundamental knowledge in domain areas</li><li>Strong communication skills</li></ul><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </div>

Position: STEM - Physics Expert (Task Based)<br><br>Type: Short-Term Contract (3 Months)<br><br>Compensation: $250 per approved task<br><br>Location: Remote<br><br>Commitment: Up to 40 hours per week with 4 hours overlap with PST<br><br>Role Responsibilities<br><br>Design and solve challenging Physics problems to evaluate and improve large language models (LLMs) Create clear, high-quality, step-by-step solutions with well-articulated reasoning Collaborate with AI researchers to develop evaluation tasks focused on areas where models typically struggle Help define new Physics evaluation benchmarks spanning undergraduate to PhD-level topics Analyze and solve complex Physics problems using structured and logical approaches Explain Physics concepts clearly using simple language, visuals, and Physics reasoning Provide detailed annotations, feedback, and reasoning for AI evaluation workflows<br><br>Requirements<br><br>Master's, PhD, or Postdoctoral degree in Physics, Applied Physics, or a related field Strong research, analytical, and problem-solving skills Experience explaining complex Physics concepts clearly and effectively Ability to provide constructive feedback and detailed annotations Creative and lateral thinking abilities Excellent written communication and collaboration skills Self-motivated and comfortable working independently in a remote environment Access to a desktop/laptop with a reliable internet connection Linked In profile is mandatory in the resume<br><br>Application Process<br><br>Apply / Easy Apply and check your email for the application form Complete the Interest Check Form Online Assessment (to be completed within 24 hours of receiving it) Delivery Review / Interview Onboarding and Background Verification<br><br>Skills: Research

Position: STEM - Physics Expert (Task Based)<br><br>Type: Short-Term Contract (3 Months)<br><br>Compensation: $250 per approved task<br><br>Location: Remote<br><br>Commitment: Up to 40 hours per week with 4 hours overlap with PST<br><br>Role Responsibilities<br><br>Design and solve challenging Physics problems to evaluate and improve large language models (LLMs) Create clear, high-quality, step-by-step solutions with well-articulated reasoning Collaborate with AI researchers to develop evaluation tasks focused on areas where models typically struggle Help define new Physics evaluation benchmarks spanning undergraduate to PhD-level topics Analyze and solve complex Physics problems using structured and logical approaches Explain Physics concepts clearly using simple language, visuals, and Physics reasoning Provide detailed annotations, feedback, and reasoning for AI evaluation workflows<br><br>Requirements<br><br>Master's, PhD, or Postdoctoral degree in Physics, Applied Physics, or a related field Strong research, analytical, and problem-solving skills Experience explaining complex Physics concepts clearly and effectively Ability to provide constructive feedback and detailed annotations Creative and lateral thinking abilities Excellent written communication and collaboration skills Self-motivated and comfortable working independently in a remote environment Access to a desktop/laptop with a reliable internet connection Linked In profile is mandatory in the resume<br><br>Application Process<br><br>Apply / Easy Apply and check your email for the application form Complete the Interest Check Form Online Assessment (to be completed within 24 hours of receiving it) Delivery Review / Interview Onboarding and Background Verification<br><br>Skills: Research

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:Reviewing AI training problems and research environments built for a frontier AI lab Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself Each task takes 30–90 minutes<br>Requirements:Master's/PhD OR 4+ years of professional experience in the fields of Material Science/ Material Engineering Ability to start immediately Feedback Skills: Ability to provide constructive feedback and detailed annotations. Communication: Excellent structured communication and collaboration skills in a remote setting. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.<br>Offer Details:Engagement type : Contractor assignment/freelancer (no medical/paid leave)

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:Reviewing AI training problems and research environments built for a frontier AI lab Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself Each task takes 30–90 minutes<br>Requirements:Master's/PhD OR 4+ years of professional experience in the fields of Electrical Engineering Ability to start immediately Feedback Skills: Ability to provide constructive feedback and detailed annotations Communication: Excellent structured communication and collaboration skills in a remote setting Independence: Self-motivated and able to work independently in a remote setting Technical Setup: Desktop/Laptop set up with a good internet connection<br>Perks of Freelancing With Turing:Work in a fully remote environment Opportunity to work on cutting-edge AI projects with leading LLM companies Potential for contract extension based on performance and project needs<br>Offer Details:Engagement type : Contractor assignment/freelancer (no medical/paid leave)

Position: Physics Expert Type: Short-term Contract Compensation: $450 per task upon approval Location: Remote Commitment: 8 hours per day with 4 hours overlap with PSTDuration: 11 Weeks Start Date: Immediate<br>Role Responsibilities Design and solve challenging Physics problems to evaluate large language models Create clear, step-by-step Physics solutions with detailed reasoning Collaborate with LLM researchers on evaluation benchmarks and reasoning tasks Help define new evaluation benchmarks spanning undergraduate to PhD-level Physics Analyze and solve complex Physics problems with a logical and structured approach Explain Physics concepts clearly using simple language, visuals, and reasoning<br>Requirements Candidates with a Master s, Ph. D., or currently pursuing a Ph. D./Postdoctoral degree in Physics, Applied Physics, or related fields are encouraged to apply Proficiency in at least three of the following tools:QuTiP, OQuPy, QuSpin, Ten Py, Strawberry Fields, open EMS, ngspice, Quantum ESPRESSO, Open FOAM, FEni CS/FEni CSx (DOLFINx), Warp X, REBOUND, PYTHIA, Kwant, Elmer FEM, GF180MCU PDK, Sky130 PDK, Free CAD, Project Chrono, Scilab Xcos, volare, emcee, Icarus Verilog, GTKWave, Verilator, gmsh, Elmer, pyarmadillo, and Mesh Lab Strong research and analytical skills Creative and lateral thinking abilities Excellent communication and collaboration skills in a remote environment<br>Application Process Apply/Easy Apply and check email for application form Fill Google form Assessment Link (After shortlisting to be completed within 24 hours)<br><br>Skills: Physics, Trainer, elmer, mesh lab

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:Reviewing AI training problems and research environments built for a frontier AI lab Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself Each task takes 30–90 minutes<br>Requirements:Master's/PhD OR 4+ years of professional experience in the fields of Electrical Engineering Ability to start immediately Feedback Skills: Ability to provide constructive feedback and detailed annotations Communication: Excellent structured communication and collaboration skills in a remote setting Independence: Self-motivated and able to work independently in a remote setting Technical Setup: Desktop/Laptop set up with a good internet connection<br>Perks of Freelancing With Turing:Work in a fully remote environment Opportunity to work on cutting-edge AI projects with leading LLM companies Potential for contract extension based on performance and project needs<br>Offer Details:Engagement type : Contractor assignment/freelancer (no medical/paid leave)

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:Reviewing AI training problems and research environments built for a frontier AI lab Assessing whether problems are scientifically realistic, well-designed, and correctly graded — not solving them yourself Each task takes 30–90 minutes<br>Requirements:Master's/PhD OR 4+ years of professional experience in the fields of Chemistry / Chemical Engineering Ability to start immediately Feedback Skills: Ability to provide constructive feedback and detailed annotations Communication: Excellent structured communication and collaboration skills in a remote setting Independence: Self-motivated and able to work independently in a remote setting Technical Setup: Desktop/Laptop set up with a good internet connection<br>Perks of Freelancing With Turing Work in a fully remote environment Opportunity to work on cutting-edge AI projects with leading LLM companies Potential for contract extension based on performance and project needs<br>Offer Details:Engagement type : Contractor assignment/freelancer (no medical/paid leave)