Curriculum Developer Jobs
3059 Jobs Found
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<p>Patient Care Coordinator \ Pharmacist (Egypt)</p><br>
<p><span>Location</span>: Al Dokki, Cairo</p><br> <p><span>Position Purpose</span><br><span>The Patient Care Coordinato</span><span><span>r \ Pharmacist </span> plays a vital role in supporting and managing Patient Support Programs, ensuring that patients receive timely, compassionate, and professional assistance throughout their treatment journey.</span><br><span>The coordinator serves as a trusted advocate and a caring voice, ensuring no patient lives their patient support program journey alone. From coordinating services to providing guidance and quality care, the coordinator brings clarity, transparency, guidance, direction, education, and awareness to the patient support program journey. Whether in the field or the office, every action is taken to make each patient’s experience convenient and compliant.</span><br><span>At its core, this role is about removing barriers to care and ultimately expanding access strategies around the globe, so patients have the chance to receive and maximize the medical benefits and support they deserve.</span><br></p><br>
<p><span>Duties and Responsibilities</span></p><br>
<p>•Assist the line manager and assigned program team in effectively managing Patient Support Program(s) by liaising with key stakeholders.<br>•Ensure timely enrolment of eligible patients in accordance with defined workflow and program timelines.<br>•Educate and coordinate with patients to facilitate a seamless enrollment process aligned with program procedures.<br>•Maintain accurate, complete patient files, prepared for timely submission in line with project standards.<br>•Accompany team members on visits to healthcare providers, pharmacies, or patient support sites to support program implementation.<br>•Ensure patients receive their medications efficiently and without delay.<br>•Prepare and maintain regular reports on program performance, including patient numbers, services provided, and quality assurance metrics, in collaboration with the team.<br>•Maintain and update electronic records related to patient data and quality assurance.<br>•Participate in and complete all required training, including product training, pharmacovigilance, and any other client-provided or Axios-mandated trainings.<br>•Report any adverse events or product complaints in line with client requirements and Axios Standard Operating Policies and Procedures (SOPPs).<br>•Perform administrative duties related to program operations and general office support.<br>•Utilize Axios’ Patient Management System (PMS) exclusively for all program activities.<br>•Ensure a solid understanding and consistent application of international standards and relevant Axios policies and procedures.<br>•Comply with all applicable laws, regulations, Axios Code of Conduct, and internal SOPPs.<br>•Promote awareness of escalation protocols for any deviations or non-compliance issues.<br>•Support governance and operational monitoring activities across all Axios programs.<br>•Perform additional duties as assigned by your line manager</p><br> <p><span>Benefits of working with Axios include</span>:<br></p><br>
<ul>
<li>Paying fair market value<br></li>
<li>Annual performance-based bonus (based on role, levels, and contract)<br></li>
<li>Premium Private health insurance<br></li>
<li>Career progression aligned with a competency framework . Humanitarian Impact: Contribute to patient support programs that make a meaningful difference in patients lives.<br></li>
<li>Learning Exposure: Expand your expertise through hands-on experience in global health initiatives and patient-focused programs</li>
</ul> <p><span>Relationships</span><br><span>•Work closely with the Line Manager and the assigned program team.</span><br><span>•Work with the related divisions of Axios.</span><br><span>•Maintain ongoing and frequent communication with Axios staff.</span><br><span>•External Partners.</span><br><span>Competencies</span><br><span>•Application of job knowledge.</span><br><span>•Concern for order and quality.</span><br><span>•Adaptability and flexibility.</span><br><span>•Dependability.</span><br><span>•Teamwork</span></p><br> <p><span><span>Educational Background and Experience</span><br>•A Degree or Diploma in any medical background or social work is ideal<br>•0-1 year of working experience in a healthcare or scientific field or NGO is ideal<br>•Experience in data monitoring and management is an advantage, though not required.<br>•Experience coordinating and handling logistics/supply chain is an advantage, though not required.<br>•Experience in customer service management</span></p><br> <p><span><span>Job Circumstances</span><br>•The position is based in our regional office, and it does entail frequent travel to Clients and partners, which may be outside your designated region.<br>•Flexibility in ability to travel as well as working hours is essential</span></p><br> </div>
We’re Hiring: Heads of Department (Grades 1–9) Silicon Valley International School — New Administrative Capital, Egypt<br>About the roles Silicon Valley International School is recruiting outstanding, bilingual leaders (English at C2 level required; Arabic strongly preferred) to head departments and raise student achievement across Grades 1-9.<br>Open positions English — Head of Department (American curriculum, Years 3–9) Mathematics — Head of Department (American curriculum, Grades 3–9) Science — Head of Department (British curriculum, Years 1–9) Science — Head of Department (American curriculum, Grades 1–9) Art — Head of Department (serving both British and American divisions) Music — Head of Department (serving both British and American divisions) Library and Media — Head of Department (serving both British and American divisions)<br>What you bring Bachelor's in subject or Education + recognized teaching qualification required — master's is a plus5+ years of successful teaching with proven leadership or coordination experience Deep knowledge of learning progressions & assessment from Grade 1–9English C2 required — Arabic strongly preferred for family & staff communication Demonstrated ability to raise student outcomes through curriculum design, coaching & data use Organized, collaborative & student-centered — with a firm commitment to safeguarding<br>What we offer Competitive salaries starting at 30k up to 60k based on experience and qualifications Social insurance and medical insurance. Transportation. Dependents' tuition discount
SHE CANWomen Empowerment Training Program Call for Project-Based Instructors (3-Day Assignment) About Mind Work Solution Mind Work Solution is a training, consulting, and organizational development company dedicated to transforming knowledge into measurable action. We design and deliver evidence-based learning experiences that bridge the gap between theory and real-world application. Our expertise spans leadership development, business psychology, organizational growth, communication excellence, and workforce capability building. Through innovative learning methodologies, experiential learning design, and performance-focused training solutions, we empower organizations and individuals to achieve sustainable growth and measurable impact. At Mind Work Solution, we believe that meaningful development occurs when learning is practical, engaging, and directly connected to workplace performance. Project Overview Project Title: SHE CAN – Women Empowerment Program Project Duration: 3 Training Days Delivery Format: Instructor-Led Training (ILT) Target Audience:Women working within public sector institutions, governmental entities, development programs, and community-focused organizations. Training Duration:6 Hours per Training Day Number of Instructors Required:3 Project-Based Instructors Project Objective The SHE CAN Program aims to empower women through practical skill development, leadership enhancement, confidence building, strategic thinking, communication effectiveness, career advancement, and personal growth. The program is designed to equip participants with actionable tools that enable them to create impact within their organizations and communities while fostering leadership, resilience, and professional excellence. Position Title: Women Empowerment Trainer (Project-Based Assignment) Scope of Work Selected instructors will be responsible for:Delivering engaging instructor-led training sessions. Facilitating experiential learning activities and simulations. Conducting role plays and group exercises. Leading discussions and reflective learning activities. Applying adult learning principles throughout delivery. Encouraging participant engagement and knowledge sharing. Delivering content aligned with project objectives and learning outcomes. Assessing participant understanding and learning transfer. Providing end-of-session feedback and recommendations. Coordinating with the project management team before and during delivery. Submitting attendance records and trainer reports upon completion. Required Competencies Successful candidates should demonstrate strong expertise in:Women Empowerment Topics Women’s Leadership Personal Development Confidence Building Communication Skills Career Development Emotional Intelligence Workplace Influence Strategic Thinking Decision Making Change Management Resilience and Adaptability Entrepreneurship and Economic Empowerment Gender Inclusion and Equality Workplace Wellbeing Learning & Development Expertise Candidates must demonstrate advanced understanding of:Adult Learning Principles (Andragogy) Experiential Learning Methodology70:20:10 Learning Model Project-Based Learning (PBL) Action Learning Reflective Learning Blended Learning Design Competency-Based Learning Instructional Design Principles Learning Transfer Methodologies Kirkpatrick Evaluation Model Training Impact Measurement Facilitation Expertise Candidates should possess strong capabilities in:Facilitation Techniques Group Dynamics Management Storytelling for Learning Behavioral Change Interventions Interactive Workshop Design Coaching Techniques Mentoring Approaches Stakeholder Engagement Public Speaking Executive Presence Gamification Knowledge Deep understanding of:Gamification Frameworks Learning Motivation Models Behavioral Design Engagement Mechanics Reward Systems Challenge-Based Learning Simulation Design Serious Games Interactive Learning Technologies Minimum Qualifications Applicants must meet the following requirements:Education Bachelor’s Degree (Required) Master’s Degree (Preferred) Doctorate Degree (Highly Preferred) Fields may include:Business Administration Human Resources Organizational Development Psychology Education Leadership Social Development Public Administration Gender Studies Related disciplines Professional Experience Minimum 10 years of professional training experience. Proven experience delivering corporate, governmental, NGO, development sector, or international organization training programs. Demonstrated experience facilitating workshops for adult learners. Experience working with women empowerment initiatives is highly desirable. Previous experience with governmental entities, development agencies, international organizations, or donor-funded projects is preferred. Required Certifications Candidates must possess at least one accredited training certification such as:CPT (Certified Professional Trainer) TOT (Training of Trainers) PCT (Professional Certified Trainer) ATD Certifications International Facilitation Certifications Equivalent Accredited Training Credentials Preferred Certifications The following certifications will be considered a significant advantage:ACP (Agile Certified Practitioner) PMP (Project Management Professional) PMI Certifications Lean Six Sigma Green Belt Lean Six Sigma Black Belt Certified Coach Certifications Change Management Certifications Instructional Design Certifications Organizational Development Certifications Emotional Intelligence Certifications HR Professional Certifications (SHRM, HRCI, CIPD) Preferred Experience Additional consideration will be given to candidates who have experience working with:UN Women Programs National Council for Women UN Agencies International NGOsDevelopment Projects Gender Equality Initiatives Women’s Economic Empowerment Programs Leadership Development Programs Government Capacity Building Programs Deliverables Selected instructors will provide:Professional training delivery. Session facilitation. Participant engagement activities. Learning assessments. End-of-program recommendations. Trainer report and feedback summary. Compensation Mind Work Solution offers a competitive project-based compensation package. The package includes:Competitive Daily Training Fees Transportation Allowance / Reimbursement Project Coordination Support Training Materials Support Certificate of Participation as Project Instructor Compensation will be determined based on:Relevant Experience Certifications Industry Expertise Previous Governmental / Development Sector Experience Specialized Women Empowerment Experience Application Requirements Interested candidates should submit:Updated CV. Professional Biography. Copies of Relevant Certifications. Training Portfolio (if available). List of Similar Projects Delivered. Daily Professional Fee Expectation. Selection Criteria Candidates will be evaluated based on:Relevant Experience Facilitation Excellence Subject Matter Expertise Professional Certifications Instructional Design Knowledge Women Empowerment Experience Governmental Sector Experience Communication and Presentation Skills Cultural Awareness and Professionalism Equal Opportunity Statement Mind Work Solution is committed to diversity, inclusion, and equal opportunity. We welcome applications from qualified professionals dedicated to creating meaningful impact through learning and development. For more info contact us through info@mindworksolution.com
Westview International Language School is seeking a qualified and dedicated American Diploma Biology Teacher to join our team. This role offers an exciting opportunity to teach biology within the American Diploma curriculum, inspiring students to develop a deep understanding of biological sciences and critical thinking skills.<br><br>Key Responsibilities:<br><br>Plan and deliver engaging and comprehensive biology lessons aligned with the American Diploma curriculum Utilize diverse teaching strategies to accommodate different learning styles and promote active student participation Design and administer assessments to monitor and evaluate student progress Encourage scientific inquiry, critical analysis, and practical understanding through laboratory experiments and projects Maintain a positive, inclusive, and productive classroom environment Collaborate with colleagues to enhance curriculum delivery and participate in school activities and professional development Communicate effectively with students, parents, and administration regarding student progress and concerns<br><br>Requirements<br><br>Bachelor's degree in Biology, Science Education, or a related field Valid teaching certification or qualification preferred Experience teaching Biology within the American Diploma curriculum Strong classroom management and communication skills Ability to create engaging and effective lesson plans that meet curriculum standards Passion for teaching and motivating students in the sciences Commitment to professional growth and collaboration<br><br>Safeguarding Statement: Student safety and well-being are paramount. All appointments are subject to thorough background and reference checks.<br><br>Benefits<br><br>Tuition Discount for Dependents Medical Insurance for Self Transportation upon availability (Meeting Points)
Company Description The Egyptian German College of Technology - Assiut International Technological University is committed to providing advanced education and training through dual system curriculums. With a focus on bridging the gap between academia and industry, the institution promotes career-oriented learning and technical excellence. The college provides opportunities for students to gain hands-on experience alongside their academic studies to prepare for real-world challenges.<br>Role Description This is an on-site, full-time role as a Dual System Curriculum Specialist, located in Asyūţ. Responsibilities include designing and implementing dual system curricula, coordinating between academic and practical training components, and conducting regular reviews to ensure the curriculum aligns with industry requirements. Additional tasks include engaging and collaborating with industry partners, assisting in troubleshooting curriculum-related challenges, and providing technical support to educational initiatives.<br>Qualifications Analytical skills and the ability to troubleshoot curriculum-related issues effectively The ability to conduct training needs analysis and develop necessary training plans. Interpersonal and communication skills to work collaboratively with academic and industry stakeholders Familiarity with dual system education models or experience in curriculum development is a plus. Bachelor's degree in Engineering, Technology, or a related field; advanced degrees or certifications are a plus Passion for developing technical education and bridging the gap between academic and industry standards
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<span>GEMS- TBS (The British School El-Rehab) is seeking a passionate and experienced Mathematics Teacher to join our Secondary Department for the Academic Year 2026–2027 .<br> The successful candidate will deliver high-quality teaching aligned with the British Curriculum and contribute positively to the wider school community.<br> Important note: The position is based in Cairo, Egypt , and we are looking for candidates who are in Egypt or are willing to relocate .<br> Key Responsibilities Plan, prepare, and deliver engaging lessons in line with the British Curriculum Create a safe, supportive, and inclusive classroom learning environment Differentiate instruction to meet the needs of all learners Assess, track, and report on student progress effectively Maintain positive relationships with students, parents, and colleagues Contribute to curriculum development and enrichment activities Participate in school meetings, CPD, and extracurricular activities Uphold school policies and safeguarding procedures at all times Tuition Discount for Dependents Medical Insurance Social Insurance Transportation upon availability Requirements Bachelor’s Degree in Mathematics or a related field IGCSE Maths and Alevel is a preference.<br> Recognised teaching qualification (PGCE, QTS, or equivalent) Minimum 2–3 years of teaching experience (British Curriculum preferred) Excellent English language Strong classroom management skills Passion for teaching and commitment to student development Ability to work effectively within a multicultural environment</span> </div>
Egypt Education Platform is pleased to invite applications for the role of Science Teacher - Primary Stage (National Curriculum) AY 26-27 at Madinaty Integrated Language School. We are looking for a passionate and experienced educator to deliver high-quality science education in accordance with the National Curriculum for the upcoming academic year.<br><br>Key Responsibilities:<br><br>Plan, prepare, and deliver engaging science lessons aligned with the National Curriculum for primary students Use a variety of teaching strategies, including practical experiments and inquiry-based learning, to promote student understanding and enthusiasm for science Assess student progress regularly and provide constructive feedback to support their academic development Create a safe, inclusive, and stimulating classroom environment that encourages curiosity and respect Maintain open communication with parents and guardians regarding student progress and classroom activities Work collaboratively with colleagues to develop interdisciplinary projects and participate in school initiatives Engage in ongoing professional development to stay up-to-date with educational best practices and curriculum changes<br><br>Requirements<br><br>Bachelor's degree in Science Education, Elementary Education, or a related field Familiarity with the National Curriculum and experience teaching at the primary level Teaching certification or qualification is preferred Minimum of 1 year teaching experience in primary science education Strong communication skills and the ability to engage effectively with students, parents, and colleagues Enthusiastic, creative, and committed to fostering a positive learning environment<br><br>Safeguarding Statement: The safety and welfare of our students remain our highest priority. All appointments are subject to rigorous background checks and reference verification.<br><br>Benefits<br><br>Tuition Discount for Dependents Medical Insurance for Self Transportation to a meeting point
About the Role<br>We are looking for a Senior Software Engineer to join our engineering team. You will design, build, and maintain scalable backend systems, working across the full software development lifecycle from architecture through deployment. This role is ideal for an experienced engineer who enjoys solving complex problems, mentoring others, and driving technical excellence — including exploring how AI agents and agentic workflows can accelerate engineering and product delivery.<br>What You'll Do<br>- Design, develop, and maintain robust, scalable backend services using Java and Spring Boot- Build and maintain RESTful APIs that power internal and external applications- Design and optimize relational database schemas and queries using SQL (Oracle and/or Postgre SQL)- Design, build, and integrate agentic AI systems — LLM-powered agents, tool-calling workflows, and multi-step autonomous or semi-autonomous processes — into product and engineering workflows- Evaluate and apply AI coding assistants and agent frameworks to improve developer productivity and software quality- Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions- Write clean, maintainable, well-tested code and participate in code reviews- Troubleshoot, debug, and resolve production issues in a timely manner- Contribute to system design discussions and architectural decisions, including where agentic/AI components fit into the broader architecture- Mentor junior engineers and help raise the technical bar across the team- Participate in Agile/Scrum ceremonies (sprint planning, standups, retrospectives)<br>What We're Looking For<br>- 5+ years of professional software development experience- Strong hands-on experience with Java and the Spring Boot framework- Proven experience designing and building REST APIs- Solid experience with SQL and relational databases (Oracle and/or Postgre SQL)- Hands-on experience building or integrating agentic AI systems — e.g., LLM tool-use/function-calling, multi-agent orchestration, RAG pipelines, or autonomous task execution (frameworks such as Lang Chain, Lang Graph, Claude Agent SDK, Auto Gen, Semantic Kernel, or similar)- Practical experience using AI-assisted development tools (e.g., Claude Code, Git Hub Copilot, or similar) in a professional engineering workflow- Strong understanding of object-oriented design principles and software architecture patterns- Experience with version control systems (e.g., Git) and CI/CD pipelines- Familiarity with unit testing and test-driven development practices- Excellent problem-solving skills and attention to detail- Strong communication skills and ability to work collaboratively in a team environment<br>Nice to Have<br>- Experience with microservices architecture- Familiarity with cloud platforms (AWS, Azure, or GCP)- Experience with containerization tools (Docker, Kubernetes)- Exposure to message queues (Kafka, Rabbit MQ, etc.)- Experience with performance tuning and query optimization- Experience with prompt engineering, LLM evaluation/observability, or AI governance/safety practices<br>Qualifications<br>- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
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 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: 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 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 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.