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About Us: 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 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. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As 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, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure 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 systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building 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 in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Tax Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in federal income tax, corporate tax planning, partnership taxation, and tax controversy to evaluate how AI handles complex tax scenarios. If you enjoy analyzing Code sections, parsing IRS guidance, and evaluating tax-efficient structures, this is your opportunity. No prior AI experience is required — your background in U.S. tax law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. tax law hypotheticals, including individual and corporate income tax, pass-through entity taxation, international tax provisions (GILTI, BEAT, Subpart F), and tax controversy procedures., • Apply a structured legal rubric to assess issue spotting, accuracy of Internal Revenue Code provisions, and proper application of Treasury Regulations and IRS guidance., • Identify gaps in AI reasoning around basis calculations, gain recognition, tax credits, transfer pricing, and tax-exempt organization rules., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive). LL.M. in Taxation is a plus., • 3+ years of U.S. legal practice in tax law, tax planning, or tax controversy., • Strong reasoning skills across the Internal Revenue Code, Treasury Regulations, and state/local tax frameworks., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Us: 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 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns across full-stack applications., • 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 using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience 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 in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Contract Law and Commercial Transactions experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in contract drafting, UCC transactions, breach of contract analysis, and commercial dispute resolution to evaluate how AI reasons about contractual obligations. If you enjoy parsing force majeure clauses, analyzing conditions precedent, and evaluating remedies for breach, this is your opportunity. No prior AI experience is required — your background in U.S. contract law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. contract law hypotheticals, including formation issues, breach analysis, UCC Article 2 sale-of-goods disputes, and damages calculations., • Apply a structured legal rubric to assess issue spotting, accuracy of common law and UCC principles, and proper application of contract interpretation doctrines., • Identify gaps in AI reasoning around consideration, conditions, anticipatory repudiation, liquidated damages, and third-party beneficiary rights., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in contract law, commercial transactions, or commercial litigation., • Strong reasoning skills across common law contracts, UCC, and commercial agreements., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Securities and Financial Regulation experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in SEC enforcement, public offerings, broker-dealer compliance, and investment adviser regulation to evaluate how AI reasons about securities law. If you enjoy analyzing registration requirements, insider trading hypotheticals, and Regulation D exemptions, this is your opportunity. No prior AI experience is required — your background in U.S. securities law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. securities law hypotheticals, including Securities Act registration, Exchange Act reporting, insider trading (Rule 10b-5), and investment company regulation., • Apply a structured legal rubric to assess issue spotting, accuracy of SEC rules and regulations, and proper application of Howey test, Regulation D, and proxy solicitation rules., • Identify gaps in AI reasoning around materiality, scienter, safe harbors, exempt offerings, and Dodd-Frank whistleblower protections., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in securities regulation, capital markets law, or financial services compliance., • Strong reasoning skills across the Securities Act, Exchange Act, Investment Company Act, and Investment Advisers Act., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Intellectual Property law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in patent prosecution, trademark registration, copyright protection, and trade secret litigation to evaluate how AI reasons about IP-related legal questions. If you enjoy analyzing novelty, infringement claims, and licensing structures, this is your opportunity. No prior AI experience is required — your background in U.S. IP law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. intellectual property hypotheticals, including patent eligibility (Alice/Mayo), trademark likelihood of confusion, copyright fair use analysis, and trade secret misappropriation., • Apply a structured legal rubric to assess issue spotting, accuracy of IP doctrines, and proper application of the Patent Act, Lanham Act, and Copyright Act., • Identify gaps in AI reasoning around claim construction, prior art analysis, distinctiveness, and DMCA safe harbors., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive). Patent Bar registration is a plus., • 3+ years of U.S. legal practice in intellectual property (patents, trademarks, copyrights, or trade secrets)., • Strong reasoning skills across IP prosecution, litigation, licensing, and enforcement., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Corporate Law and M&A experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in mergers and acquisitions, corporate governance, entity structuring, and transactional due diligence to evaluate how AI reasons about complex corporate legal scenarios. If you enjoy dissecting deal structures, analyzing fiduciary duties, and providing clear, structured feedback, this is your chance to shape how the next generation of AI understands corporate law. No prior AI experience is required — your background in U.S. corporate practice is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. corporate law and M&A hypotheticals, including merger agreements, shareholder disputes, fiduciary duty analysis, and SEC compliance scenarios., • Apply a structured legal rubric to assess issue spotting, accuracy of corporate governance principles, and proper application of Delaware General Corporation Law and federal securities regulations., • Identify gaps in AI reasoning around deal structuring, representations and warranties, indemnification provisions, and material adverse change clauses., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in corporate law, M&A, or transactional advisory., • Strong reasoning skills in corporate governance, securities regulation, entity formation, and deal execution., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Real Estate and Property Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in commercial real estate transactions, land use and zoning, title examination, and landlord-tenant disputes to evaluate how AI reasons about property law. If you enjoy analyzing easement disputes, commercial lease negotiations, and eminent domain cases, this is your opportunity. No prior AI experience is required — your background in U.S. real estate law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. property law hypotheticals, including commercial purchase agreements, title defects, zoning variances, landlord-tenant disputes, and mortgage foreclosure proceedings., • Apply a structured legal rubric to assess issue spotting, accuracy of property doctrines, and proper application of recording statutes, the Rule Against Perpetuities, and state landlord-tenant codes., • Identify gaps in AI reasoning around concurrent estates, easements, restrictive covenants, constructive eviction, and 1031 exchange structuring., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in real estate transactions, property litigation, or land use and zoning., • Strong reasoning skills across property law doctrines, commercial leasing, title insurance, and real estate finance., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Us: 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 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. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As 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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in 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 with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable 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 in the United States • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Employment and Labor Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in workplace discrimination, wage and hour compliance, ERISA, and labor relations to evaluate how AI handles employment law scenarios. If you enjoy analyzing wrongful termination claims, ADA accommodations, and collective bargaining disputes, this is your opportunity. No prior AI experience is required — your background in U.S. employment law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. employment law hypotheticals, including Title VII discrimination claims, FLSA wage disputes, FMLA leave questions, and NLRA union activity scenarios., • Apply a structured legal rubric to assess issue spotting, accuracy of employment statutes, and proper application of agency guidelines (EEOC, DOL, NLRB)., • Identify gaps in AI reasoning around burden-shifting frameworks (McDonnell Douglas), employee classification, non-compete enforceability, and workplace safety (OSHA)., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in employment law, labor relations, or workplace compliance., • Strong reasoning skills across Title VII, ADA, FLSA, FMLA, ERISA, and NLRA., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Us: 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 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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns across full-stack applications., • 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 using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience 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 in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Us: 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 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 Overview: As 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 with cross-functional teams to enhance AI-driven coding solutions against industry performance 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: • 3+ years of software engineering experience., • 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 (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

You will: • Work with a close team of passionate GPU architects with a relentless focus on efficiency, • Understand industry trends and their impact on the GPU, • Communicate with other stakeholders to gather new ideas and requirements for our GPUs, • Be responsible for the investigation, specification and delivery of detailed, architectural feature specifications, • Perform deep analysis in order to produce solutions that meet the required power, performance, area and bandwidth requirements., • Work with the research group to map novel algorithms to efficient implementations, • Work with the modelling team to explore and evaluate new ideas and produce performance targets, • Work with the product team to define a forward-looking technology roadmap that progresses in PPA and features every generation, • Assist the implementation team through design and verification, • Work with the performance team to review data and validate the power, performance, area and bandwidth of the completed implementations, • Participate in engineering reviews and recommend improvements, • Have the opportunity to influence and advance our long-term technology roadmap, • Liaise with key customers and industry standards bodies (such as Khronos) where required About you Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard. You'll have: • Experience with GPU architecture or similarly large, complex systems, • A good understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, • An understanding of digital ASIC design methodologies and constraints, • The ability to plan, estimate and track your own work, • Experience in independently driving architecture exploration activities that conclude with tangible and appropriate feature specifications, • An understanding of the design and verification challenges in order to make effective trade-offs to maximise engineering ROI, • The skill to clearly communicate technical issues and justify decisions to various audiences

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 Overview: Turing invites Healthcare and FDA Regulatory Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in healthcare compliance, FDA drug/device approval, Anti-Kickback Statute analysis, and HIPAA enforcement to evaluate how AI handles healthcare regulatory scenarios. If you enjoy analyzing Stark Law exceptions, False Claims Act liability, and pre-market approval pathways, this is your opportunity. No prior AI experience is required — your background in U.S. healthcare law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. healthcare law hypotheticals, including HIPAA privacy and security rules, Anti-Kickback Statute safe harbors, Stark Law exceptions, and FDA approval pathways (510(k), PMA, NDA)., • Apply a structured legal rubric to assess issue spotting, accuracy of healthcare regulations, and proper application of CMS guidance and FDA rules., • Identify gaps in AI reasoning around fraud and abuse compliance, clinical trial regulations, telehealth law, and pharmacy benefit management., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in healthcare law, FDA regulatory affairs, or healthcare compliance., • Strong reasoning skills across HIPAA, the Anti-Kickback Statute, Stark Law, False Claims Act, and FDA regulations., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Privacy and Data Protection Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in CCPA/CPRA compliance, state privacy frameworks, data breach response, and cross-border data transfers to evaluate how AI reasons about privacy law. If you enjoy analyzing consent frameworks, vendor data processing agreements, and FTC enforcement actions, this is your opportunity. No prior AI experience is required — your background in U.S. privacy law is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. privacy law hypotheticals, including CCPA/CPRA consumer rights, state data breach notification requirements, COPPA compliance, and FTC Section 5 enforcement., • Apply a structured legal rubric to assess issue spotting, accuracy of privacy statutes, and proper application of state privacy frameworks (Virginia CDPA, Colorado CPA, Connecticut CTDPA) and federal sectoral laws., • Identify gaps in AI reasoning around data minimization, consumer opt-out rights, vendor management, cross-border transfer mechanisms, and biometric privacy laws (BIPA)., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in privacy law, data protection, cybersecurity law, or technology transactions., • Strong reasoning skills across CCPA/CPRA, state privacy laws, COPPA, HIPAA (privacy provisions), and FTC enforcement frameworks., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Us: 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 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 Overview: As 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 with cross-functional teams to enhance AI-driven coding solutions against industry performance 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: • 3+ years of software engineering experience., • 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 (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing invites Litigation and Civil Procedure experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in trial strategy, motion practice, discovery, and procedural rules to evaluate how AI handles complex litigation scenarios. If you enjoy analyzing case strategy, identifying procedural deficiencies, and providing rigorous legal feedback, this is your opportunity. No prior AI experience is required — your background in U.S. litigation practice is exactly what’s needed. What Does Day-to-Day Look Like: • Review and evaluate AI-generated responses to U.S. litigation hypotheticals, including motion to dismiss arguments, summary judgment analyses, discovery disputes, and trial strategy questions., • Apply a structured legal rubric to assess issue spotting, procedural accuracy under the Federal Rules of Civil Procedure, and proper application of case law and evidentiary standards., • Identify gaps in AI reasoning around standing, jurisdiction, burden of proof, pleading standards (Twombly/Iqbal), and remedies., • Provide detailed, high-quality annotations and written feedback to refine AI models., • Collaborate with researchers and project managers to align evaluation standards and project goals. Requirements: • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive)., • 3+ years of U.S. legal practice in civil litigation, commercial litigation, or appellate work., • Strong reasoning skills across the Federal Rules of Civil Procedure, evidence, and trial advocacy., • Excellent written communication and attention to detail., • High ethical standards; interest in AI is a plus. Perks of Freelancing with Turing: • Opportunity to work on cutting-edge AI projects with leading LLM companies., • Competitive compensation., • Flexible, fully remote work arrangement., • Learn how to use AI to advance the legal field. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Us: 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 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. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns across full-stack applications., • 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 using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience 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 in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview Turing 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

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 Overview Turing 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 modelling (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 modelling, 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

SEO Manager Location: Remote - UK Based Only Experience: 5+ years Specialism: Technical SEO We’re looking for an experienced and technically driven SEO Manager to take ownership of SEO performance across a portfolio of websites and clients. If you live and breathe crawl errors, Core Web Vitals, and structured data, and you’re confident managing SEO strategy end-to-end this role could be a perfect fit. 🔍 Key Responsibilities • Lead and execute comprehensive technical SEO audits, • Develop and manage long-term SEO roadmaps and performance strategies, • Identify and resolve crawlability, indexing, and site architecture issues, • Work closely with developers to implement technical SEO fixes and improvements, • Monitor performance and create insightful, action-led reports, • Stay ahead of algorithm updates, industry changes, and SEO innovations, • Support junior SEO team members and act as a technical point of contact internally and with clients 🧰 Tools You’ll Use • Screaming Frog – advanced crawling and auditing, • SEMrush – performance tracking, keyword analysis, and audits, • Ahrefs – backlink insights, content gaps, and competitor research, • Google Search Console & GA4 ✅ What We’re Looking For • 3+ years of hands-on SEO experience, with a strong technical focus, • Proven experience delivering successful technical SEO strategies, • A solid understanding of HTML, JavaScript, schema markup, redirects, and page speed optimisation, • Strong analytical and problem-solving skills, • Ability to work independently and manage projects end-to-end, • Comfortable communicating technical insights to non-technical stakeholders

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview Turing 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 modelling, 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 modelling, and investment thesis formulation., • Create rubrics to assess model capabilities on tasks like DCF modelling, 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Role Overview: Turing is seeking Finance Professionals with strong Investment Banking backgrounds to guide how frontier AI systems learn and reason about complex financial transactions. Your expertise in M&A, IPOs, and deal structuring will directly shape the way AI interprets and models high-stakes corporate finance decisions. This is a remote, highly flexible consulting role that pays $100/hr. Work from anywhere, on your own schedule, while applying your IB experience to influence the next generation of AI-driven capital markets analysis. No AI experience required for this role. What You’ll Do: • Review AI-generated analyses of LBOs, IPO pricing, and M&A valuations., • Evaluate model performance on live-deal inspired case studies., • Develop scoring rubrics and benchmarks that reflect real transaction dynamics., • Collaborate with a global team of quant researchers, economists, and fellow IB specialists. What We’re Looking For: • 2+ years of Investment Banking experience (M&A, IPOs, restructuring, or capital raising)., • Proven track record in deal modelling, valuations, or transaction advisory., • Strong knowledge of corporate finance, risk, and capital structure., • Excellent written communication., • No AI experience required, • Preferred: CFA (any level), CA/CPA, or MBA in Finance. Offer Details: • Engagement: Advisory consulting (~10–30 hrs/week)., • Location: Fully remote — work anywhere, anytime., • Duration: Initial 1-month pilot, with potential for multi-month projects., • Compensation: $100/hr+ consulting rate. About Us: 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 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

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 Overview Turing 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing is looking for Capital Markets experts to work with our researchers to improve the performance of AI models. You will apply your deep understanding of equity and debt issuance, securities structuring, market microstructure, and pricing dynamics to evaluate and train AI systems. If you enjoy solving complex problems in capital markets 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 capital markets topics such as securities pricing, IPO structuring, syndication processes, and fixed income analytics., • Create rubrics to assess model capabilities on tasks like bond valuation, yield curve analysis, derivatives pricing, and market risk assessment., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: • 2+ years of experience in Capital Markets (e.g., DCM, ECM, structured products, sales & trading desks, or market-making)., • Strong grasp of securities markets, pricing mechanisms, issuance processes, credit analysis, and market microstructure., • Excellent English written communication. Bonuses (Not at All Necessary): • CFA (Level I/II/III), FRM, 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview Turing 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Role Overview: In this project, you will leverage your expertise in internal or emergency medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You'll Do: • Design and solve advanced clinical scenarios reflecting internal or emergency medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties (cardiology, endocrinology, nephrology, etc.)., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements: • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal or Emergency Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details: • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview Turing 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 modelling, 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 modelling, 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 back-testing 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 modelling)., • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory., • 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Who Are You? An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is but always push clinical development forward to what it could be. You motivate others to do the same. Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. Position Overview: Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. Responsibilities As a Principal Biostatistician, your responsibilities will include: • Provide statistical input into planning and analysis of Indirect Treatment Comparison (ITC)., • Support Health Technology Assessment (HTA) dossier submission and negotiation., • Create specifications and perform analyses such as time-to-event and longitudinal analysis., • When in the Lead Biostatistician role for a project: manage biostatisticians and statistical programmers with respect to statistical strategy, deliverables, and processes., • Generate the use of innovative statistical methodology approaches by identifying, adapting, developing, or using optimal statistical research methodologies and techniques appropriate to each project, and contribute internally and externally to the development and visibility of the company and of the Clinical Services department through her/his expertise and customer orientation., • Develop strong collaboration and communication with sponsor cross-functional teams and sponsor Biostatistics management. Qualifications Here at Cytel we want our employees to succeed, and we enable this success through consistent training, development, and support. To be successful in this position you will have: • PhD in statistics or master’s degree in statistics or related subject required along with clinical trial experience., • Relevant experience in statistical or biostatistical analysis supporting HTA activities., • Understanding of the HTA-related guidelines., • Excellent verbal and written communications skills., • Ability to organize multiple work assignments and establish priorities, • Working SAS & R programming knowledge required., • CDISC knowledge required. Experience in R is preferred. Remote Locations: United Kingdom, Spain, Netherlands, South Africa, Ireland, Sweden, Poland, Belgium

SEO Manager — Independent Digital Agency Location - Remote (UK-based) with monthly team meet-ups. Role Overview We’re looking for an experienced SEO Manager to lead organic search strategy across a portfolio of ecommerce and lead generation clients. This role is ideal for someone who thrives in an agency environment, enjoys working across multiple industries, and can balance strategic thinking with hands-on delivery. You’ll be responsible for planning and executing SEO campaigns that drive measurable growth in traffic, rankings, revenue, and leads. Working closely with content, development, paid media, and client services teams, you’ll help clients improve visibility across search engines while maintaining strong client relationships and commercial awareness. Key Responsibilities SEO Strategy & Delivery • Develop and execute SEO strategies for a range of clients across ecommerce and other sectors., • Conduct technical SEO audits and work with developers to implement fixes and improvements., • Lead keyword research, content gap analysis, competitor reviews, and search opportunity planning., • Optimise on-site SEO including metadata, internal linking, site architecture, and content recommendations., • Manage off-page SEO initiatives including digital PR, outreach, and backlink profile improvement., • Monitor algorithm updates and proactively adapt client strategies. Ecommerce SEO • Improve category, product, and faceted navigation performance for ecommerce clients., • Support SEO considerations for migrations, new site launches, and platform changes., • Work with merchandising and content teams to improve organic conversion performance., • Analyse organic revenue trends, product visibility, and customer search behaviour. Reporting & Analysis • Track and report on rankings, traffic, conversions, and revenue performance., • Build clear, actionable monthly reports and communicate insights to clients., • Use tools such as GA4, Search Console, Ahrefs/Semrush, Screaming Frog, and Looker Studio to identify opportunities and measure success., • Present recommendations and campaign updates confidently in client meetings. Client Management • Manage day-to-day SEO relationships with multiple clients simultaneously., • Translate technical SEO concepts into commercially focused recommendations., • Support upselling opportunities and contribute to client retention and growth., • Collaborate with account managers to ensure projects are delivered on time and within scope. Team Collaboration • Work closely with content writers, designers, developers, and paid media specialists., • Support junior team members through mentoring and knowledge sharing., • Contribute to internal process improvements and agency best practices. Skills & Experience Essential • 3+ years’ experience in SEO, ideally within a digital marketing agency., • Strong understanding of technical, on-page, and off-page SEO., • Experience managing multiple client accounts simultaneously., • Proven experience working with ecommerce websites and CMS platforms such as Shopify, WooCommerce, Magento, or BigCommerce., • Strong analytical skills with confidence interpreting SEO and GA4 data., • Excellent communication and presentation skills., • Experience using industry tools including:, • Google Analytics 4, • Google Search Console, • Screaming Frog, • Ahrefs, Semrush, or similar, • Looker Studio Desirable • Experience with international SEO and multilingual sites., • Familiarity with CRO principles and UX best practices., • Understanding of HTML, CSS, and JavaScript SEO considerations., • Experience supporting paid search or integrated digital campaigns., • Agency experience working across diverse sectors. What We’re Looking For • Organised and able to prioritise across multiple projects and deadlines., • Commercially minded with a focus on delivering measurable results., • Curious, proactive, and up to date with SEO trends and algorithm changes., • Comfortable working independently while collaborating as part of a wider agency team., • Someone who enjoys variety and solving different client challenges every day. Working Style • Fully remote role within the UK., • Monthly in-person meet-ups for collaboration, planning, and team socials., • Flexible working environment focused on outcomes and performance

SEO Director (Remote) Location: Remote (UK-based preferred) Experience: 7+ years Specialism: Technical SEO Salary: Up to £60,000 pa We’re looking for an experienced and technically driven SEO Manager to take ownership of SEO performance across a portfolio of websites and clients. If you live and breathe crawl errors, Core Web Vitals, and structured data—and you’re confident managing SEO strategy end-to-end—this role could be a perfect fit. This is a fully remote position, offering autonomy, flexibility, and the opportunity to work with a forward-thinking digital team. 🔍 Key Responsibilities • Lead and execute comprehensive technical SEO audits, • Develop and manage long-term SEO roadmaps and performance strategies, • Identify and resolve crawlability, indexing, and site architecture issues, • Work closely with developers to implement technical SEO fixes and improvements, • Monitor performance and create insightful, action-led reports, • Stay ahead of algorithm updates, industry changes, and SEO innovations, • Support junior SEO team members and act as a technical point of contact internally and with clients 🧰 Tools You’ll Use • Screaming Frog – advanced crawling and auditing, • SEMrush – performance tracking, keyword analysis, and audits, • Ahrefs – backlink insights, content gaps, and competitor research, • Google Search Console & GA4 ✅ What We’re Looking For • 3+ years of hands-on SEO experience, with a strong technical focus, • Proven experience delivering successful technical SEO strategies, • A solid understanding of HTML, JavaScript, schema markup, redirects, and page speed optimisation, • Strong analytical and problem-solving skills, • Ability to work independently and manage projects end-to-end, • Comfortable communicating technical insights to non-technical stakeholders

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 Overview Turing 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Clinical trials are high stakes, demanding high standards. Veramed sets this standard by bringing together the sharpest minds in data management, biostatistics and programming, with cutting-edge technology and proven processes. Our globally connected, caring team delivers quality, precision and collaboration, earning trust through consistency and integrity. From rapid-fire project work to long-term partnerships, Veramed brings the right minds to every challenge. The Role The purpose of this role is to provide high‑quality statistical support. As a Senior or Principal Statistician, you may also take on a supervisory role, including line management and/or project leadership, depending on experience and interest. This role is well‑suited to someone with significant experience in clinical studies and regulatory submissions, who is comfortable working directly with clients - including situations where there is no internal statistical support. You will be confident working independently, managing your own workload, and contributing across multiple projects and clients. Strong communication skills are essential, including the ability to explain statistical concepts to non‑statisticians and to present clearly and confidently to client teams. Key Responsibilities • Statistical oversight at study level, • Providing project‑level statistical input across clinical studies, • Review and oversight of statistical deliverables from other CROs, • Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs), • Study design activities, including sample size calculations, ad‑hoc and exploratory analyses, • Additional statistical support as required across client projects, • Confident coding in R, SAS, or other non‑SAS languages (or a willingness to learn) Experience & Skills Essential: • Senior to Principal level experience in statistics within a clinical research environment, • Experience working on clinical studies and regulatory submissions, • Comfortable working independently with clients, often without in‑house statistical support, • Strong communication skills and the ability to explain statistical concepts to non‑statisticians, • Curious, proactive, and motivated to continuously learn and improve Desirable: • Study design and sample size experience, • Regulatory experience, • A basic understanding or willingness to learn Bayesian methods and causal inference modelling, • Experience within Oncology and/or CNS therapeutic areas Opportunities at Veramed • Presenting at conferences and authoring publications, • Developing and implementing innovative statistical methodologies, study designs, and efficiency‑optimisation ideas, • Line management and peer mentoring opportunities, • Contributing to business process improvements and internal training, • Supporting initiatives linked to employees, the environment, and local communities as part of our B Corp accreditation What to Expect • A warm, friendly working environment where you can thrive both personally and professionally, • Supportive, open‑door management that actively encourages development, • Exposure to a wide variety of clients and projects, including collaboration with leading global pharmaceutical companies, • The opportunity to work with a truly unique CRO that does things differently — valuing people, relationships, and quality, • The chance to genuinely own your role and shape your career path If you’re independent, curious, and ready to make a meaningful impact within a forward‑thinking organisation, we’d love to hear from you. Veramed is a B Corp accredited company which means that we use the power of business to build a more inclusive and sustainable economy meeting the highest verified standards of social and environmental performance, transparency, and accountability. As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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 Overview: Turing is looking for Portfolio Management experts to work with our researchers to improve the performance of AI models. You will leverage your expertise in asset allocation, portfolio construction, rebalancing strategies, and performance attribution to evaluate and train AI systems. If you enjoy solving complex problems in portfolio management 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 portfolio management topics such as asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization., • Create rubrics to assess model capabilities on tasks like performance attribution, benchmark comparison, factor analysis, and rebalancing decisions., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: • 2+ years of experience in Portfolio Management (e.g., mutual funds, hedge funds, pension funds, endowments, or wealth management)., • Strong grasp of modern portfolio theory, asset allocation, risk management frameworks, and investment performance measurement., • Excellent English written communication. Bonuses (Not at All Necessary): • CFA (Level I/II/III), CAIA, 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Role Overview: Turing is seeking Finance Professionals with strong Investment Banking backgrounds to guide how frontier AI systems learn and reason about complex financial transactions. Your expertise in M&A, IPOs, and deal structuring will directly shape the way AI interprets and models high-stakes corporate finance decisions. This is a remote, highly flexible consulting role that pays $100/hr. Work from anywhere, on your own schedule, while applying your IB experience to influence the next generation of AI-driven capital markets analysis. No AI experience required for this role. What You’ll Do: • Review AI-generated analyses of LBOs, IPO pricing, and M&A valuations., • Evaluate model performance on live-deal inspired case studies., • Develop scoring rubrics and benchmarks that reflect real transaction dynamics., • Collaborate with a global team of quant researchers, economists, and fellow IB specialists. What We’re Looking For: • 2+ years of Investment Banking experience (M&A, IPOs, restructuring, or capital raising)., • Proven track record in deal modelling, valuations, or transaction advisory., • Strong knowledge of corporate finance, risk, and capital structure., • Excellent written communication., • No AI experience required, • Preferred: CFA (any level), CA/CPA, or MBA in Finance. Offer Details: • Engagement: Advisory consulting (~10–30 hrs/week)., • Location: Fully remote — work anywhere, anytime., • Duration: Initial 1-month pilot, with potential for multi-month projects., • Compensation: $100/hr+ consulting rate. About Us: 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 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

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 Overview Turing 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 modelling, 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 modelling, 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

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 Overview Turing is looking for Accounting professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in financial reporting, audit, tax compliance, and accounting standards to evaluate and train AI systems. If you enjoy solving complex problems in accounting 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 accounting topics such as revenue recognition, lease accounting, consolidation, and tax provision calculations., • Create rubrics to assess model capabilities on tasks like journal entry analysis, financial statement preparation, audit procedures, and GAAP/IFRS compliance., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Accounting (e.g., public accounting, corporate accounting, audit, tax, or financial reporting)., • Strong grasp of US GAAP or IFRS, financial statement preparation, audit methodologies, and regulatory compliance., • Excellent English written communication. Bonuses (Not at All Necessary) • CA, CPA, ACCA, CMA, or MBA in Finance/Accounting. 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. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment 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. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

Product Development Engineer\n\nBolton | £40,000 - £45,000 DOE | Full Time | Permanent\n\nA well-established and highly regarded SME manufacturing and engineering business based in Bolton is seeking an experienced Product Development Engineer.\n\nThe role provides the chance to work on varied and technically interesting projects from concept through to manufacture, within a collaborative and supportive engineering environment.\n\nYou will play a key role in driving new product development projects, improving existing products and supporting innovation across the business while working closely with engineering, production, sales and marketing teams.\n\nThis is an outstanding opportunity to join a stable, successful and highly respected business with a strong reputation for quality, innovation and long-term staff retention.\n\nThe company offers genuine long-term career development opportunities, exposure to innovative product development work and the chance to make a visible impact within a close-knit SME business where your contribution will be recognised.\n\nThe Role\n\nAs Product Development Engineer, you will be responsible for leading and supporting technical product development activities throughout the full product lifecycle.\n\nKey responsibilities will include:\n\n Leading new and existing product development projects, including design, testing and implementation\n\n Evaluating new product ideas and supporting feasibility and industrialisation activities\n\n Working closely with engineering, production, sales and marketing teams to develop technical specifications and solutions\n\n Managing product testing, experimentation and data analysis using internal and external testing services\n\n Supporting continuous improvement initiatives and product enhancements\n\n Ensuring compliance with quality standards, design control processes and risk management activities including DFMEA\n\n Managing multiple projects to agreed timescales and budgets\n\n Producing technical documentation, reports and benchmarking analysis\n\n Providing technical support to internal teams and customers\n\nTo be considered for this role, you will ideally have:\n\n A qualification in an engineering discipline\n\n Previous experience within a product development or design engineering role\n\n Experience working within manufacturing or engineering environments\n\n Knowledge of manufacturing processes, machining methodologies and engineering practices\n\n Experience using 3D CAD software, ideally SolidWorks\n\n Strong project management and organisational skills\n\n Excellent communication and problem-solving abilities\n\n The ability to work effectively across multiple departments and manage competing priorities\n\n A proactive and innovative approach to engineering and product development\n\nApply\n\nIf you are an experienced Product Development Engineer looking for your next challenge within a successful engineering business, we would love to hear from you.\n\nAbout 1492\n\nIn a nutshell – We discover great people! Created with the belief that the process is just as necessary as the opportunity, we decided there was a better recruitment method. Working solely in the manufacturing and engineering industry, we work on retained projects to provide accountability for every hire we make with you. We connect candidates and hiring managers, provide in-depth project management plans and advise through up to date market research. No two hires are the same, and that’s why each project is adapted to your needs. We aim to take the stress out of the hiring process and focus on the job at hand!\n\nWe aim to reply to all applications, successful or not, within 2 working days of applying for the role. If you are not happy with the service, please feel free to give us a call or drop us an email.\n\n1492 Ltd and its clients promote a policy of equal opportunities. Our policy is to treat job applicants and employees in the same way regardless of age, gender, marital status, sexual orientation, race, ethnic origin, religion, colour or disability

Paraplanner - East Lancashire £30000 - £50000 Great opportunity for an experienced paraplanner who is keen to join a Large Independant firm working on complax highly complex work . You will supports Financial Advisers by conducting product research, analyzing financial data, and preparing compliant suitability reports. Core Responsibilities You will be responsible for technical research: Analyse investment funds, pensions, and insurance products to identify the best solutions for clients. You will be responsible for report writing: Drafting detailed, regulatory-compliant suitability letters and reports that advisers use for client meetings. * You will be responsible for Cash Flow Modeling: Building and updating mathematical models to forecast a client's future financial trajectory and help meet long-term goals. This is a great opportunity in a well respected firm working with high net worth clients. By proceeding with this application, you are consenting to Thrive by Chorni Limited’s collection of your personal information and handling of that information. Thrive by Chorni will not share your personal data with any third party without your prior consent. If at any time you want your personal information to be deleted, you simply need to notify us Thrive by Chorni Limited acts as a recruitment agency...