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Speech Therapist Opportunity Australia - Relocation & Visa Support Offered We're seeking a passionate Speech and Language Therapists for a premium multidisciplinary clinic in Ballarat, Victoria. This is a structured, supportive clinical environment delivering high-quality services across NDIS and My Aged Care, with strong supervision, multidisciplinary collaboration, and a focus on clinical excellence. The Package: • Earnings: AUD $80,000–$100,000 + Super (£42k–£53k) Per Annum, • Support: Full Visa Sponsorship & dedicated relocation assistance., • Balance: Structured supervision and a focus on clinical excellence over administrative "fluff.", • Lifestyle: High-quality regional living—just 90 mins from Melbourne. Your Role: • Holistic Caseload: Deliver evidence-based interventions for Paediatric developmental delays or Adult dysphagia., • Comprehensive Assessment: Conduct speech, language, and swallowing assessments using modern diagnostic tools., • Collaborative Care: Work daily alongside OTs and Physios to provide integrated, wrap-around client support., • Clinical Advocacy: Empower families with goal-based treatment plans that drive real-world independence. Requirements: • Degree in Speech Pathology (UK/Ireland/Equivalent)., • Eligible for Speech Pathology Australia (SPA) registration., • Strong clinical reasoning and communication skills, • Paediatric and/or community experience desirable, • Interest in autism, developmental language, and communication needs, • Mutual Recognition: Your qualifications must be recognised by ___. Ready for a new chapter? Apply Now Contact Mark O’Connor on +44 7485 931332 or email

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 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 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 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 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 — 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 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. 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 programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, 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. 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 programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, 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 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 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 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 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 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 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 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 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 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 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.

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 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 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 turing.com/referrals 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 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 turing.com/referrals 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 turing.com/referrals 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 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 turing.com/referrals 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 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 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.

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.

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.

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 turing.com/referrals 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 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 turing.com/referrals 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 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 turing.com/referrals 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.

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.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

About the role If you want to make a difference working with the largest names in pharmaceuticals and at the frontier of pharmaceutical marketing and educational content generation, read on. Circuit Medical is transforming how pharmaceutical companies generate educational and marketing content. Our leading platform is already being used at numerous leading pharmaceutical companies. We’re looking for leading AI Engineers who can take real-world customer and market requirements and turn them into working, scalable products; fast. You’ll own the full journey from prototype to scalable, production-grade systems. The level of role e.g. Principal, Senior will be dependent on candidate experience. What we need Someone who is equally comfortable whiteboarding an agentic architecture, scaling prototypes, and shipping the code behind it. You live at the intersection of R&D and product delivery, and you’re motivated by building products and features that scale and demonstrate returns, and not just those that demo well. Your job · Translate customer and market requirements into AI-powered product features, swiftly moving from concept to working software · Design and build agentic architectures using LLMs: from single-agent workflows to multi-agent systems · Lead on R&D cycles: research new approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should be · Someone who can demonstrate experience with LLMs, AI agents, and agentic design patterns e.g. tool use, RAG, planning, orchestration · Able to translate requirements into clear technical direction, and then execute on it · Genuinely curious: you read papers, run experiments, and stay close to the frontier · Entrepreneurial: you treat each challenge as an opportunity to shine and are tenacious · Motivated by building unique, scalable products that demonstrate impact in a real-world setting · Resilient and comfortable operating with ambiguity; you don’t wait for perfect specs, but continuously ask questions and offer improvements · Independent and self-driven, and a strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models in different languages, working to ISO27001 ISMS standards, experience with biotech/pharma This role isn’t for you if… · You need a fully defined roadmap before you start building · You prefer deep specialisation in one narrow area over breadth and ownership · You’re looking for a slow, predictable environment What we offer · Competitive salary and benefits · Opportunities for professional growth · Flexible work hours and remote work · Collaborative, inclusive work environment · Chance to work on cutting-edge AI technologies with real-world impact Selection process · Screening interview with HR · Introductory interview with hiring manager/technical exercise · Capability interview with CEO/team members About Circuit Medical Circuit Medical is a well-established, research-driven global consultancy and AI solutions provider, that maximises the value of medical affairs for the biopharmaceutical industry, supporting leading companies like AstraZeneca, Roche, and Takeda. We're expanding our digital offerings with products designed to enhance quality, efficiency, and performance for clients that ultimately help them to improve patient care. We thrive on curiosity, innovation, collaboration, and delivering high-quality work. We’re a small, fast-moving team that values curiosity, ownership, and shipping over talking. If you want high autonomy, meaningful problems, and the chance to shape products from the ground up then we’d love to hear how you can add to our welcoming and innovative team. We're an inclusive team that celebrates diverse backgrounds and perspectives, providing equal opportunities regardless of race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability.

Frontier Consulting is recruiting qualified GPs for an exciting opportunity in.

A reputable economics consultancy in Greater London is seeking a Principal to lead economic analysis projects.You will drive strategic relationships with clients, manage consulting teams, and ensure high-quality deliverables.The ideal candidate should possess extensive experience in economic consult

Google DeepMind is seeking a professional to join their Frontier Safety Mitigation team.

A financial services provider based in Greater London is seeking a Senior FX Trader to drive profitable trading strategies and manage a high-velocity flow book.Candidates should have 5+ years of FX Trading experience in Emerging Markets, along with a deep understanding of market dynamics.The company