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About Turing: 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.Role OverviewWe are looking for highly observant, detail-driven AI Data Trainers to support a high-impact project evaluating Gemini’s next-generation personalization capabilities. This work sits at the intersection of AI, health data, user behavior, and digital wellness.In this role, you will test how well AI can responsibly use private personal data from sources like Gmail, Google Photos, Google Search, YouTube, Google Health, and wearable devices to deliver experiences that are relevant, timely, accurate, and safe.This opportunity is especially exciting for people with a strong interest in: Fitness tracking and performance Nutrition and healthy lifestyle coaching Habit-building and wellness routines Health-tech products and wearables Personalized user experiences powered by AIKey Responsibilities Conduct multi-turn conversations with Gemini and compare model variants to assess response quality, tone, and contextual understanding. Evaluate outputs for grounding, personalization, safety, and accuracy, ensuring the model uses personal data correctly without hallucinations or privacy risks. Test predefined Health & Wellness scenarios involving wearables, physical activity, and nutrition-related queries. Provide clear qualitative feedback and debug notes by identifying reasoning gaps, retrieval issues, and why one response performs better than another.Requirements & EligibilityAge & Eligibility Must be 18+ years old and authorized to participate in data training projects. Regional Availability Must be located in and/or operate using en-US or en-IN language settings to ensure cultural and linguistic nuance. Google Account Standards Strict Requirement: You must use your primary, daily-use personal Google account. We cannot accept testing or "dummy" accounts, as the model requires a rich, historical data footprint (Gmail, Photos, etc.) to perform personalization evaluations. Hardware Ecosystem Must possess and actively use a Fitbit device or Pixel Watch. This hardware is a mandatory prerequisite for the "Health & Wellness" integration testing. Offer Details: Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor Engagement Length: 10 weeksEvaluation Process - Shortlisted candidates will be sent a Job Interest Form. Shortlisted candidates will be contacted to discuss the pre‑onboarding requirements.

About Turing: 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.  Role OverviewWe are looking for highly observant, detail-driven AI Data Trainers to support a high-impact project evaluating Gemini’s next-generation personalization capabilities. This work sits at the intersection of AI, health data, user behavior, and digital wellness.In this role, you will test how well AI can responsibly use private personal data from sources like Gmail, Google Photos, Google Search, YouTube, Google Health, and wearable devices to deliver experiences that are relevant, timely, accurate, and safe.This opportunity is especially exciting for people with a strong interest in: Fitness tracking and performance Nutrition and healthy lifestyle coaching Habit-building and wellness routines Health-tech products and wearables Personalized user experiences powered by AIKey Responsibilities Conduct multi-turn conversations with Gemini and compare model variants to assess response quality, tone, and contextual understanding. Evaluate outputs for grounding, personalization, safety, and accuracy, ensuring the model uses personal data correctly without hallucinations or privacy risks. Test predefined Health & Wellness scenarios involving wearables, physical activity, and nutrition-related queries. Provide clear qualitative feedback and debug notes by identifying reasoning gaps, retrieval issues, and why one response performs better than another.Requirements & EligibilityAge & Eligibility Must be 18+ years old and authorized to participate in data training projects. Regional Availability Must be located in and/or operate using en-US or en-IN language settings to ensure cultural and linguistic nuance. Google Account Standards Strict Requirement: You must use your primary, daily-use personal Google account. We cannot accept testing or "dummy" accounts, as the model requires a rich, historical data footprint (Gmail, Photos, etc.) to perform personalization evaluations. Hardware Ecosystem Must possess and actively use a Fitbit device or Pixel Watch. This hardware is a mandatory prerequisite for the "Health & Wellness" integration testing. Offer Details: Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor Engagement Length: 10 weeksEvaluation Process - Shortlisted candidates will be sent a Job Interest Form. Shortlisted candidates will be contacted to discuss the pre‑onboarding requirements.

About Turing: About UsBased 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 software engineering, logical 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.Project OverviewAs a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.What Does a Typical Day Look Like? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate withcross-functionalteamsto enhance AI-drivencoding solutionsagainstindustryperformance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them Design verification mechanisms that can automatically verify a solution to a software engineering task.Required Skills Several years of software engineering experience (3 years or more) Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales.Engagement Details Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: candidates must be based out of US, Canada or WEU countries (Austria, Belgium, France, Germany, ...)Evaluation Process The application process takes 15-30 minutes. Completion of an AI video interview is required.

About Turing: Job Title: Senior Software Engineer – LLM Evaluation & Repository ValidationAbout 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.About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and qualityWhy 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.What does day-to-day look like: Analyze and triage GitHub 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.Required Skills: Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or 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.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.Offer details: Commitment required: 20 hours per week with some overlap with PST Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 3 months with expected start date as next week

About Turing: 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.About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub 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 qualityWhy 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.What does day-to-day look like: Analyze and triage GitHub 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.Required Skills: Minimum 3+ years of overall experience Strong experience with at least one of the following languages:  Python 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.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.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] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoEvaluation Process (approximately 75 mins) : Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)