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About Turing: About TuringBased 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 OverviewTuring is looking for Private Equity professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in deal sourcing, due diligence, LBO analysis, and portfolio value creation to evaluate and train AI systems. If you enjoy solving complex problems in private equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.What Does Day-to-Day Look Like Evaluate LLM models on private equity topics such as LBO structuring, deal screening, operational value creation, and exit strategy analysis. Create rubrics to assess model capabilities on tasks like fund return modeling (IRR, MOIC), due diligence frameworks, and portfolio company analysis. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Private Equity (e.g., buyout funds, growth equity, distressed investing, or PE-focused advisory). Strong grasp of LBO modeling, deal evaluation, portfolio company management, and fund economics. Excellent English written communication.Bonuses (Not at All Necessary) CFA (Level I/II/III), CPA, or MBA in Finance.Perks of Freelancing with Turing Work on the cutting edge of AI and finance. Fully remote and flexible work environment. Competitive hourly compensation of ~$100+/hour depending on experience.Offer Details Commitment: Flexible, 10–30 hrs/week. Duration: ~1 month, with the possibility of extension based on performance and project needs.

About Turing: About TuringBased 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 OverviewTuring is looking for Financial Consulting professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in transaction advisory, valuation services, restructuring, and strategic finance consulting to evaluate and train AI systems. If you enjoy solving complex problems in financial consulting and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.What Does Day-to-Day Look Like Evaluate LLM models on financial consulting topics such as business valuation, due diligence, financial restructuring, and forensic accounting. Create rubrics to assess model capabilities on tasks like purchase price allocation, impairment testing, working capital analysis, and financial risk assessment. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Financial Consulting (e.g., Big 4 advisory, transaction services, valuation, restructuring, or management consulting with a finance focus). Strong grasp of valuation methodologies, due diligence frameworks, financial restructuring, and advisory engagement management. Excellent English written communication.Bonuses (Not at All Necessary) CFA (Level I/II/III), CA/CPA, ABV, or MBA in Finance.Perks of Freelancing with Turing Work on the cutting edge of AI and finance. Fully remote and flexible work environment. Competitive hourly compensation of ~$100+/hour depending on experience.Offer Details Commitment: Flexible, 10–30 hrs/week. Duration: ~1 month, with the possibility of extension based on performance and project needs.

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.