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About Turing: As an Agentic Evaluation Specialist, you will work directly with researchers at a top 8 Frontier large language model company to improve LLM Agent performance specific for Agentic Storage Management.Responsibilities: Data migration workflows across cloud platforms (AWS, GCP, Azure) Data migration strategies, considering trade-offs (online vs offline, performance, scalability) Creation & upkeep of data pipelines and ETL/ELT workflows in distributed environments Integrate and evaluate LLM/Generative AI components within workflows Perform system testing and validation: Execute test scenarios Identify edge cases and failure points Debug and analyze issues across systems Ensure data integrity, consistency, and performance across systems Document findings, insights, and recommendations clearly for stakeholders Collaborate with cross-functional teams across engineering, data, and productRequired Qualifications: 5+ years of relevant experience with cloud platforms (GCP, AWS, or Azure) and data/storage systems Strong understanding of data migration processes and associated trade-offs Experience with data pipelines, ETL/ELT workflows, or distributed systems Hands-on exposure to LLMs / Generative AI (prompting, evaluation, or integration) Experience in system testing, validation, or QA Strong debugging and problem-solving skills Excellent written communication skillsNice to have: Background in storage administration, SRE, or cloud infrastructure operations Experience with MLOps, model evaluation frameworks, or AI testing workflows Familiarity with Google Cloud Storage (GCS) or similar platforms Experience working in Agile environments with cross-functional teamsPerks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.Offer Details: Commitments Required : 40 hours per week with overlap of 4 hours with PST Engagement type : Contractor (no medical/paid leave) Duration of contract : 6 months; [expected start date is next week] Location: India and Brazil

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 Trading professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in trade execution, market analysis, order flow dynamics, and risk management to evaluate and train AI systems. If you enjoy solving complex problems in trading 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 trading topics such as execution strategies, market microstructure, order book analysis, and position management. Create rubrics to assess model capabilities on tasks like trade sizing, risk/reward evaluation, technical analysis, and market impact assessment. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Trading (e.g., equities, fixed income, FX, commodities, or derivatives trading at a bank, hedge fund, or prop trading firm). Strong grasp of market dynamics, execution algorithms, risk management, and trading strategies across asset classes. Excellent English written communication.Bonuses (Not at All Necessary) CFA (Level I/II/III), FRM, Series 7/63, 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.