Economic Researcher Jobs in Egypt

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:The Mathematical Systems & Abstract Reasoning Engineer is responsible for developing advanced reasoning datasets that evaluate and improve the capabilities of Large Language Models (LLMs). This role involves designing novel mathematical systems, defining custom rules and axioms, and creating rigorous reasoning challenges that require models to interpret definitions, perform symbolic computations, derive properties, and construct logically sound proofs. The ideal candidate combines deep expertise in abstract mathematics with exceptional analytical and communication skills to produce self-contained, verifiable, and high-quality evaluation tasks. What does day-to-day look like:PhD / Doctorate Designed and defined novel mathematical systems, operations, and axiomatic frameworks for reasoning evaluations. Authored multi-step reasoning tasks involving symbolic manipulation, expression evaluation, and proof-based problem solving. Developed deterministic solutions, detailed reasoning traces, and comprehensive scoring rubrics for model assessment. Identified and addressed edge cases, ambiguities, and logical inconsistencies to ensure task robustness and reproducibility. Collaborated with reviewers and AI/LLM teams to refine task definitions, evaluation criteria, and dataset quality standards.<br>Required Qualifications:Strong foundation in abstract mathematics, formal logic, algebraic structures, discrete mathematics, or theoretical computer science. Minimum 2 years of experience in mathematics, computer science, data science, logic, or a related analytical discipline. Proven ability to create structured reasoning problems that assess both conceptual understanding and procedural accuracy. Excellent written communication skills with the ability to document rigorous definitions, proofs, and reasoning processes. Experience evaluating LLM reasoning performance or developing AI training and assessment datasets is preferred.<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:Commitments Required : 4 hours of overlap with PST. Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 8 weeks.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Work Schedule</b></p><br>Standard (Mon-Fri)<p><b>Environmental Conditions</b></p><br>Office<p><b><u>Job Description</u></b></p><br><p>Join Us as a Clinical Research Associate – Make an Impact at the Forefront of Innovation<br>We have successfully supported the top 50 pharmaceutical companies and more than 750 biotechs, spanning 2,700 clinical trials across 100+ countries in the last 5 years.<br>As part of our global team, you’ll have the opportunity to perform and coordinate all aspects of the clinical monitoring and site management process. As a Clinical Research Associate, you'll conduct remote or on-site visits to assess protocol and regulatory compliance and manage required documentation. You will manage procedures and guidelines from different sponsors and/or monitoring environments (i.e., FSO, FSP, Government, etc.). Acting as a site processes specialist, you will ensure that the trial is conducted in accordance with the approved protocol, ICH-GCP guidelines, applicable regulations, and SOPs to guarantee subjects' rights, well-being, and data reliability. You will ensure audit readiness and develop collaborative relationships with investigational sites. Detailed tasks and responsibilities assigned to your role are outlined in the task matrix.<br>What You’ll Do:<br>• Monitors investigator sites with a risk-based monitoring approach: applies root cause analysis (RCA), critical thinking and problem-solving skills to identify site processes failure and corrective/preventive actions to bring the site into compliance and decrease risks. Ensures data accuracy through SDR, SDV and CRF review as applicable through on-site and remote monitoring activities. Assess investigational product through physical inventory and records review. Documents observations in reports and letters in a timely manner using approved business writing standards. Escalates observed deficiencies and issues to clinical management expeditiously and follow all issues through to resolution. May need to maintain regular contact between monitoring visits with investigative sites to confirm that the protocol is being followed, that previously identified issues are being resolved and that the data is being recorded in a timely manner. Conducts monitoring tasks in accordance with the approved monitoring plan. Participates in the investigator payment process. Ensures a shared responsibility with other project team members on issues/findings resolution. Investigates and follows-up on findings as applicable.<br>• Participates in investigator meetings as necessary. Identifies potential<br>• investigators in collaboration with the client company to ensure the acceptability of qualified investigative sites. Initiates clinical trial sites according to the relevant procedures to ensure compliance with the protocol and regulatory and ICH GCP obligations, making recommendations where warranted. Performs trial close out and retrieval of trial materials.<br>• Ensures that required essential documents are complete and in place, according to ICH-GCP and applicable regulations. Conducts on-site file reviews as per project specifications.<br>• Provides trial status tracking and progress update reports to the Clinical Team Manager (CTM) as required. Ensures study systems are updated per agreed study conventions (e.g. Clinical Trial Management System).<br>• Facilitates effective communication between investigative sites, the client company and the PPD project team through written, oral and/or electronic contacts.<br>• Responds to company, client and applicable regulatory requirements/audits/inspections.<br>• Maintains &amp; completes administrative tasks such as expense reports and timesheets in a timely manner.<br>• Contributes to the project team by assisting in preparation of project publications/tools, and sharing ideas/suggestions with team members.<br>• Contributes to other project work and initiatives for process improvement, as required.<br>Education and Experience Requirements:<br>• Bachelor's degree in a life sciences related fieldor a Registered Nursing certification or equivalent and relevant formal academic / vocational qualification.<br>• Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 1 years as a clinical research monitor) or completion of PPD Drug Development Fellowship.<br>• Valid driver's license where applicable.<br>In some cases an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.<br>Knowledge, Skills and Abilities:<br>• Proven clinical monitoring skills<br>• Demonstrated understanding of medical/therapeutic area knowledge and medical terminology<br>• Demonstrated ability to attain and maintain a working knowledge of ICH GCPs, applicable regulations and procedural documents<br>• Well-developed critical thinking skills, including but not limited to: critical mindset, in-depthinvestigation for appropriate root cause analysis and problem solving<br>• Ability to manage Risk Based Monitoring concepts and processes<br>• Good oral and written communication skills, with the ability to communicate effectively with medical personnel<br>• Ability to maintain customer focus through the utilization of good listening skills, attention to detail and the ability to perceive customers’ underlying issues<br>• Good organizational and time management skills<br>• Effective interpersonal skills<br>• Attention to detail<br>• Ability to remain flexibile and adaptable in a wide range of scenarios<br>• Ability to work in a team or independently as required<br>• Good computer skills: solid knowledge of Microsoft Office and the ability to learn appropriate software<br>• Fluency in Arabic and good English language and grammar skills<br>• Good presentation skills<br>Working Conditions and Environment:<br>• Work is performed in an office/ laboratory/clinical/and/or home office environment with exposure to electrical office equipment.<br>• Frequent drives to site locations. Frequent travel, generally 60-80% but more for some individuals. May also include extended overnight stays.<br>• Exposure to biological fluids with potential exposure to infectious organisms.<br>• Personal protective equipment required such as protective eyewear, garments and gloves.<br>• Exposure to fluctuating and/or extreme temperatures on rare occasions</p><br> </div>

مولانا هي أول علامة تجارية في مصر تُنتج السبح والإكسسوارات الرجالية والنسائية.<br>تُعدّ مولانا بيدز رائدةً في تصميم الإكسسوارات الزخرفية و السبح عالية الجودة، المستوحاة من الأنماط التقليدية والمعاصرة. تشتهر الشركة بتفانيها في الحرفية، حيث تُجسّد مفاهيم فريدة لعملائها الباحثين عن قطع مميزة. مع التركيز على الجمع بين الجمال والوظائف العملية، تواصل مولانا بيدز الابتكار في صناعة السبح والإكسسوارات.<br>يمكنكم زيارة موقعنا الإلكتروني: https://mawlanabeads.com/<br>وصف الوظيفة<br>هذه وظيفة بدوام كامل في مقر الشركة بالجيزة، لمصمم/ة إكسسوارات. سيكون مصمم/ة الإكسسوارات مسؤولاً/ة عن ابتكار وتطوير تصاميم الإكسسوارات و السبح ، بما في ذلك المجوهرات والمنتجات الأخرى ذات الصلة. تشمل المسؤوليات اليومية تطوير المفاهيم، وإنشاء النماذج الأولية، ودراسة الاتجاهات، والتعاون مع فرق تطوير المنتجات لطرح قطع جديدة في السوق. كما تشمل الوظيفة ضمان توافق جميع التصاميم مع معايير العلامة التجارية ومتطلبات السوق.<br>المؤهلات<br>إتقان تصميم الإكسسوارات والمجوهرات والمنتجاتخبرة في تطوير المنتجات والقدرة على تحويل الأفكار إلى منتجات نهائيةمهارات بحثية قوية لتحديد اتجاهات السوق واستلهام تصاميم مبتكرةدقة في التفاصيل، وإبداع، وفهم عميق للمواد وتقنيات الإنتاجشهادة بكالوريوس في الفنون الجميلة أو مجال ذي صلة شرط أساسيخبرة في مجال السبح أو الإكسسوارات ميزة إضافيةالقدرة على العمل بروح الفريق الواحد وإدارة مشاريع متعددة في آن واحدنوع التوظيفدوام كاملMawlana is the first brand in Egypt to produce prayer beads(Rosaries) and accessories for men and women.<br>Mawlana Beads is a pioneer in designing high-quality decorative accessories and prayer beads, inspired by both traditional and contemporary styles. The company is renowned for its dedication to craftsmanship, embodying unique concepts for its discerning clientele. With a focus on combining beauty and practicality, Mawlana Beads continues to innovate in the prayer bead and accessory industry.<br>Visit our website: https://mawlanabeads.com/<br>Job Description<br>This is a full-time position at the company's headquarters in Giza for an Accessories Designer. The Accessories Designer will be responsible for creating and developing designs for accessories and prayer beads, including jewelry and other related products. Daily responsibilities include developing concepts, creating prototypes, researching trends, and collaborating with product development teams to bring new pieces to market. The role also involves ensuring all designs meet brand standards and market demands.<br>Qualifications<br>Proficiency in designing accessories, jewelry, and products<br>Experience in product development and the ability to transform ideas into finished products<br>Strong research skills to identify market trends and inspire innovative designs<br>Attention to detail, creativity, and a deep understanding of materials and production techniques<br>Bachelor's degree in Fine Arts or a related field is a prerequisite<br>Experience in the rosary or accessories industry is an asset<br>Ability to work effectively as part of a team and manage multiple projects simultaneously<br>Employment Type<br>Full-time

At VAES.ai, we’re building more than just a company—we’re shaping the future of technology, research, and sustainable solutions.<br><br>We’re looking for a passionate . Net Developer to join our growing team. Apply here<br><br>What’s it like to work with us?<br><br>✨ Top Talent, Multidisciplinary Teams: Collaborate with designers, researchers, software engineers, and structural experts across borders.<br><br>???? We Build What We Need: From our performance evaluation system to internal tools—we don’t rely on external software. We design what works for us.<br><br>???? Sustainability Is in Our DNA: This isn’t a slogan. VAES was founded with the environment in mind—from how we build to why we exist.<br><br>????️ Stability with Heart: We prioritize long-term growth and people-first decisions. We support our team through every phase of their journey—including when they explore new paths beyond our walls.<br><br>???? Open Channels, Real Leaders: Leadership is accessible and involved. We don’t do the fake open-door thing.<br><br>Responsibilities<br><br>Collaborate with team members to implement best coding practices, including unit testing and code optimization Support the core engineering team in designing and developing tools to enhance building element efficiency Work closely with stakeholders to gather requirements and refine software features Ensure the delivery of scalable, high-performance software solutions Contribute to a cross-functional team throughout the entire software development life cycle, from initial concept through to deployment Foster a collaborative team environment, bringing a strong sense of visual design and user utility to the development process<br><br><br>Requirements<br><br>Minimum of 5 years of programming with 2 years of experience with . NET (Core, Runtime) framework. Desktop Application Bachelor's degree in computer science, Software Engineering, or related field Proven ability to design, build, and maintain scalable software systems Strong understanding of software architecture, system design, and aligning solutions with business goals Proficient in C#; experience with Python is a plus. Able to write optimized and maintainable code Experience with MVVM (Model-View-View-Model) pattern and WPF (Windows Presentation Foundation) Solid knowledge of data structures, algorithms, and system optimization Experience with API integration Analytical mindset with problem-solving and data-driven decision-making skills Strong attention to code quality, performance, and reliability<br><br><br>Nice to Have<br><br>Experience with Python alongside C#Experience with RESTful API design and integration Exposure to Geometry tools or concepts Familiarity with mathematics or data-driven applications Startup or agile development experience Interest or experience in engineering or architecture-related applications

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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>About the Role:We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.<br>Responsibilities Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance. Conduct fact-checking to validate information and identify inconsistencies or inaccuracies. Provide detailed, well-structured justifications to support evaluation decisions. Follow established evaluation guidelines and quality standards consistently. Use browser-based tools and extensions to support analysis and review tasks. Execute simple command-line instructions when required to support evaluation workflows. Document findings clearly and communicate insights to stakeholders when needed.<br>Requirements Solid comfort using a computer in a professional setting. Experience working with browser extensions and online tools. Ability to run basic command-line commands (no advanced programming required). Strong analytical and critical thinking skills. High attention to detail and ability to justify decisions clearly and objectively. Comfortable working with evaluation frameworks, comparisons, and structured analysis. Good written communication skills in English.<br>Nice to Have Previous experience with evaluation, annotation, QA, or audit-type work. Familiarity with data quality, content evaluation, or model/output assessments. Background in business analysis, operations, or process improvement.<br>Perks of Freelancing With Turing:Competitive compensation based on experience and expertise. Flexible working hours and a fully remote environment. Opportunity to contribute to impactful research initiatives. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitment Required: 30 hours per week minimum. Engagement Type: Contractor/Freelancer (no medical or paid leave). Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.<br>Application Process:Shortlisted candidates will be invited to complete an analytical challenge. Once the assessment is cleared, you’re ready to start contributing!<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>About the Role:We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.<br>Responsibilities Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance. Conduct fact-checking to validate information and identify inconsistencies or inaccuracies. Provide detailed, well-structured justifications to support evaluation decisions. Follow established evaluation guidelines and quality standards consistently. Use browser-based tools and extensions to support analysis and review tasks. Execute simple command-line instructions when required to support evaluation workflows. Document findings clearly and communicate insights to stakeholders when needed.<br>Requirements Solid comfort using a computer in a professional setting. Experience working with browser extensions and online tools. Ability to run basic command-line commands (no advanced programming required). Strong analytical and critical thinking skills. High attention to detail and ability to justify decisions clearly and objectively. Comfortable working with evaluation frameworks, comparisons, and structured analysis. Good written communication skills in English.<br>Nice to Have Previous experience with evaluation, annotation, QA, or audit-type work. Familiarity with data quality, content evaluation, or model/output assessments. Background in business analysis, operations, or process improvement.<br>Perks of Freelancing With Turing:Competitive compensation based on experience and expertise. Flexible working hours and a fully remote environment. Opportunity to contribute to impactful research initiatives. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitment Required: 30 hours per week minimum. Engagement Type: Contractor/Freelancer (no medical or paid leave). Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.<br>Application Process:Shortlisted candidates will be invited to complete an analytical challenge. Once the assessment is cleared, you’re ready to start contributing!<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>About the Role:We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.<br>Responsibilities Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance. Conduct fact-checking to validate information and identify inconsistencies or inaccuracies. Provide detailed, well-structured justifications to support evaluation decisions. Follow established evaluation guidelines and quality standards consistently. Use browser-based tools and extensions to support analysis and review tasks. Execute simple command-line instructions when required to support evaluation workflows. Document findings clearly and communicate insights to stakeholders when needed.<br>Requirements Solid comfort using a computer in a professional setting. Experience working with browser extensions and online tools. Ability to run basic command-line commands (no advanced programming required). Strong analytical and critical thinking skills. High attention to detail and ability to justify decisions clearly and objectively. Comfortable working with evaluation frameworks, comparisons, and structured analysis. Good written communication skills in English.<br>Nice to Have Previous experience with evaluation, annotation, QA, or audit-type work. Familiarity with data quality, content evaluation, or model/output assessments. Background in business analysis, operations, or process improvement.<br>Perks of Freelancing With Turing:Competitive compensation based on experience and expertise. Flexible working hours and a fully remote environment. Opportunity to contribute to impactful research initiatives. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitment Required: 30 hours per week minimum. Engagement Type: Contractor/Freelancer (no medical or paid leave). Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.<br>Application Process:Shortlisted candidates will be invited to complete an analytical challenge. Once the assessment is cleared, you’re ready to start contributing!<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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 the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week]<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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>About the Role:We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.<br>Responsibilities Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance. Conduct fact-checking to validate information and identify inconsistencies or inaccuracies. Provide detailed, well-structured justifications to support evaluation decisions. Follow established evaluation guidelines and quality standards consistently. Use browser-based tools and extensions to support analysis and review tasks. Execute simple command-line instructions when required to support evaluation workflows. Document findings clearly and communicate insights to stakeholders when needed.<br>Requirements Solid comfort using a computer in a professional setting. Experience working with browser extensions and online tools. Ability to run basic command-line commands (no advanced programming required). Strong analytical and critical thinking skills. High attention to detail and ability to justify decisions clearly and objectively. Comfortable working with evaluation frameworks, comparisons, and structured analysis. Good written communication skills in English.<br>Nice to Have Previous experience with evaluation, annotation, QA, or audit-type work. Familiarity with data quality, content evaluation, or model/output assessments. Background in business analysis, operations, or process improvement.<br>Perks of Freelancing With Turing:Competitive compensation based on experience and expertise. Flexible working hours and a fully remote environment. Opportunity to contribute to impactful research initiatives. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitment Required: 30 hours per week minimum. Engagement Type: Contractor/Freelancer (no medical or paid leave). Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.<br>Application Process:Shortlisted candidates will be invited to complete an analytical challenge. Once the assessment is cleared, you’re ready to start contributing!<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 the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week]<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 Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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.