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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 Research analysts to work with our researchers to improve the performance of AI models. You will apply your expertise in equity research, sector analysis, financial modeling, and investment thesis development to evaluate and train AI systems. If you enjoy solving complex problems in financial research 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 research topics such as equity valuation, sector analysis, earnings estimate modeling, and investment thesis formulation. Create rubrics to assess model capabilities on tasks like DCF modeling, comparable company analysis, industry research, and initiating coverage reports. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Equity Research, Credit Research, or Sell-Side/Buy-Side Research. Strong grasp of financial statement analysis, valuation methodologies, sector dynamics, and investment recommendation frameworks. Excellent English written communication.Bonuses (Not at All Necessary) CFA (Level I/II/III) 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 Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems 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 quantitative finance topics such as stochastic modeling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and backtesting methodologies. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modeling). Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory, and programming languages such as Python, R, or C++. Excellent English written communication.Bonuses (Not at All Necessary) CFA, FRM, CQF, Ph.D. in a quantitative field, 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 Investment Banking professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in M&A advisory, capital raising, financial modeling, and deal structuring to evaluate and train AI systems. If you enjoy solving complex problems in investment banking 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 investment banking topics such as M&A deal analysis, LBO modeling, accretion/dilution analysis, and pitch book creation. Create rubrics to assess model capabilities on tasks like deal structuring, valuation (DCF, precedent transactions, comps), and due diligence assessments. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Investment Banking (e.g., M&A advisory, ECM, DCM, leveraged finance, or restructuring). Strong grasp of financial modeling, deal structuring, valuation methodologies, and corporate finance principles. Excellent English written communication.Bonuses (Not at All Necessary) CFA (Level I/II/III) 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 Venture Capital professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in startup evaluation, funding rounds, cap table management, and early-stage market analysis to evaluate and train AI systems. If you enjoy solving complex problems in venture capital 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 venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing. Create rubrics to assess model capabilities on tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund operations, or startup advisory). Strong grasp of startup valuation methods, term sheet negotiation, cap table mechanics, and venture fund economics. Excellent English written communication.Bonuses (Not at All Necessary) CFA (Level I/II/III), MBA in Finance, or operational experience at a high-growth startup.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 Growth Equity professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in evaluating high-growth companies, revenue scaling analysis, and minority/majority investment structuring to evaluate and train AI systems. If you enjoy solving complex problems in growth 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 growth equity topics such as growth-stage company valuation, unit economics analysis, and investment memo writing. Create rubrics to assess model capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage VC, or growth-focused PE funds). Strong grasp of growth-stage valuation, unit economics, scaling metrics, and investment structuring for minority and majority stakes. Excellent English written communication.Bonuses (Not at All Necessary) CFA (Level I/II/III), MBA in Finance, or experience in high-growth operating roles.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.