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Keoghs LLP is one of the leading insurance law firms in the UK and can rightly claim to be amongst the most dynamic in its sector. We now have an exciting opportunity for talented insurance lawyers to join our Property Risks and Coverage Team. This role is based in Bolton. Flexible working is encouraged for the right candidates.Our cases require a collaborative approach and you will be part of a team handling liability and quantum claims, handling cases in your own right. This caseload involves acting for most of the leading UK insurers on issues ranging from impact damage, fires, escapes of water, escapes of oil, collision damage as well as boundary disputes, trespass and nuisance claims. Key Responsibilities The role has a particular focus on defended liability claims and the work will involve advising a number of well-known insurers directly on issues of liability, quantum in respect of claims as noted above.Key accountabilities for the role will include:• Reviewing documents and preparing reports• Dealing with disclosure• Reviewing witness and expert evidence• Conducting investigations• Instructing counsel and experts• Legal research• Drafting court documents generally• Attending conferences and trials with counsel• Dealing with routine correspondence• Liaising with lay and insurer clients• Engaging in settlement negotiations, including consideration and drafting of Part 36 offers• Preparing pre-action and interim applications• Preparing documents and bundles for trial• Assisting with ADR (including mediation)• Court appointments• Conducting advocacy by telephone and in person• Ensure compliance with the SRA Standards & RegulationsWorking Hours35 hours per week, Monday – Friday 9am – 5pm with 1 unpaid hour for lunch. Primary location for this role is Bolton Skills, Knowledge and Expertise Required/Essential • Previous litigation experience, • Knowledge and understanding of the types of disputes handled by the department, • An ability to prioritise workload, • Ability to pay attention to detail, • Ability to work with case management systems, • Ability to record time and consider profitability/economics of claims, • Ability to work with fast pace litigation using initiative, • Degree level Education and/or Post graduate (preferably Law) Desirable • Previous experience of dealing with property insurance claims, • Knowledge of property liability related issues, breach of contract, negligence, property, and subrogated claims. Required Soft Skills: • Critical thinking, • Time management, • Ability to prioritise Our culture is focussed on making Keoghs sustainable and successful for our people and clients, with this our five values are at the heart of everything we do. Keoghs values:We are connectedWe are DynamicWe are InnovativeWe succeed together Benefits • Davies Incentive Plan, • 25 days holiday per year which increases with level of service (opportunity to buy & sell 3 days), • Family Cover Private Medical Insurance (Bupa) - will automatically be at single cover level but can opt into family option within first month of joining., • Simply Health Care Cash Plan, • WeCare – 24/7 online GP, mental health support and virtual wellbeing covering a whole host of topics to do with health, mental health, wellbeing & healthy living and financial & legal wellbeing, • Death in Service, • Critical Illness Cover, • PHI/Income Protection (Private health insurance), • Pension Contribution based 5% Employee / 3% Employer, • Employee Resource Groups, • Employee Volunteering Programme, • Cycle to Work Scheme*, • Tech Scheme*, • Season Ticket Loan*, • Gym Flex*, • Access to Online Discount Sites, • Discounted Gourmet Society Membership, • Discounted Tickets for Merlin Attractions nationwide, • Discounts at local retail outlets, • after successfully completing probation

Trainee IT Support Technician - No Experience Required Are you looking to kick-start a brand new career in IT? We are recruiting for companies who are looking to employ our IT Technician Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee with an average starting salary of £30k upon completion. We are currently placing over 100 of our graduates into new roles each month. Whether you are working full time, part time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is broken down into 3 easy steps. Step 1 - Online Training The first step is completing a selection of professional, accredited and industry recognised IT Technician courses by CompTIA, Microsoft and Cisco. The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study from home. You will also be assigned an expert tutor to help you throughout your training. Step 2 - Practical Training You will gain the practical experience by using our cutting edge Livelabs. Gaining hands-on experience is essential in today’s IT industry for both certifications and keeping up to date with new technologies. Theory is often not enough these days, companies require hands on practical experience to make sure you're job ready. Step 3 - Official exams You will then go on to sit the CompTIA A+ exams to give you the official certifications which will be recognised worldwide. The CompTIA A+ is the most commonly asked for certificate in entry level IT roles. Guaranteed Job Placement (Starting salary £25K-£30K) At this point you will have fully completed our IT Technician Traineeship and be ready to start work. Through our range of partnerships throughout the UK with IT organisations, we are able to place you into an entry level IT role within your local area. You will be starting on a salary between £25K-£35k, working in either an IT Technician/Desktop Support/First Line Support Role. We guarantee you will be offered a job upon completion or we will refund you 100% of your course fees back. At a one off cost of £795, or 13 interest free monthly instalments of £68, this represents a great opportunity to start a rewarding career in IT. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in IT? Apply now and one of our friendly advisors will be in touch. Keywords: IT Support, IT Technician, IT Support Technician, Support Engineer, Desktop Support, 1st Line Support, 2nd Line Support, First Line Support, Second Line Support, Trainee IT Technician, Trainee IT Support Technician, Graduate IT, No Experience Required, Helpdesk, IT Trainee, Trainee IT Support, Trainee IT Engineer.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

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

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing invites 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 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 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 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 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 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.

Electrical Fitter 12 month contract Based in Bolton Offering £28.35ph Inside IR35 Are you an experienced Electrical Fitter? Do you hold Electrical Engineering or similar trade certificates? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Electrical Fitter, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. You will be involved in: • Certify the product in line with Product Certification procedure, • Certify own work in line with company quality standards, • Maintain product certification and approval via regular audits, • Be fully conversant with all equipment, tools, and measuring instruments associated with the manufacturing cycle, • Ensure manufacturing build, inspection, and where relevant test times are met, • Check and complete all paperwork associated with the manufacturing data pack, • Maintain workmanship standards and product quality, • Ensure compliance with all associated procedures applicable to the manufacturing process Trade Certificates: Approved Apprenticeship/Apprenticeship Framework/Modern Apprenticeship OR Vocational G or H Units with Further Education, City & Guilds Parts 1, 2 & 3 OR Vocational TR23 Units with Further Education, ONC or City & Guilds Parts 1, 2 & 3 OR Vocational NVQ3 with Further Education, BTEC ONC/HNC Your skillset may include: • IPC 610 certified/ trained preferred, • Possess experience in electrical wiring and assembly, • Previous experience in the aerospace or defence industry would be desirable, • Manual handling training, • Lifting and slinging (including overhead cranes) training, • ESD training If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

Senior .Net Developer | London/Remote | £60,000 - £70,000 C# | .Net | React | AI | Edtech | GCP | Google Cloud Platform | LLM | Looking to join a company with AI at the core of their identity? Want to have influence across a whole Engineering function? I am supporting a brilliant a Google backed Edtech startup which has built a data platform which enables people within the education get holistic insights on student engagement and learning styles. They’re looking for a Senior Engineer to lead development across their core platform. You will write high quality production code whilst mentoring Junior Developers. You will be working with a modern tech stack using .NET and React on the frontend. They also use GCP as their cloud. The ideal person will come from an edtech or data driven Saas environment and has exposure to Agentic AI or LLM – integrated platforms. They’re based in London and work remote first with 1 – 3 visits per month. Salary is upto £70,000 + benefits. This is a brilliant opportunity for someone to make a true impact in the education sector. If you’re interested please apply or send your CV to adam.holmes@opusrs.com to apply.

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

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

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns across full-stack applications., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

World Class Defence Organisation is currently looking to recruit 2x Missile Test Architect subcontractors on an initial 6 month contract. Rate: £60.00 per hourLocation: Stevenage or Bolton (depending on your preference) Hybrid / Remote working: This role is a hybrid role, 1-2 days a week possibly in lab up to 3 in first weeksContract: 37 Hours per weekOvertime: Hours worked over 37 hours per week will be calculated at ‘time and a quarter’Duration: 6 Months (initially and then ongoing and long-term thereafter)IR35 status: Inside IR35 (Umbrella)Missile Test Architect Job Description:The department are looking for experienced test equipment engineers that want to use their knowledge in a system/sub system management role. The role includes determining the project test equipment needs, managing the requirements for test equipment and managing the development through delivery and into service. In this role, you will be responsible for the projects test equipment and reporting into the Chief Design EngineerThe department is responsible for the test architecture of our missiles, specifying and analysing the missile built in test, specifying the production testing requirements and managing the specification and delivery of the missile test equipment.Responsibilities: • Responsible for defining and implementing the project test strategy, • Responsible for defining and implementing the project BIT architecture including coverage requirements, BIT timings and system level BIT routines., • Responsible for specifying the missile factory pass out testing used to ensure correct build of our product, supporting the manufacturing team with identifying the optimal test stages during production., • Responsible for specifying the in service test routines on our missiles., • Responsible for generating and managing compliance to the lower level test requirements placed upon design teams including test access needs, BIT coverage/timings and factory test functionality., • Responsible for analysing and modelling our system to understand the test coverage and generate diagnostic instructions., • Responsible for proposing and recommending, with the Chief Design Engineer, the cost vs test coverage trade-offs., • Responsible for producing and maintaining plans for activities within their sphere of responsibility.Skillset/experience required:Ideally educated to degree level with substantial experience of test, electrical or electronic engineering, ideally including at least one of the following:, • Digital electronics and microprocessor systems., • Analogue electronics., • Electronics testing., • Test equipment design.Good understanding of:, • Experience in requirements capture., • Project management and planning., • Stakeholder management.

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.

Product Manager | £60,000 - £70,000 | London/remote | Edtech | Data | Startup | AI | Saas | B2B | Looking to join a AI company in an exciting growth phase? Want to work on a product which is genuinely helping the education sector? I am supporting a brilliant AI startup who are looking for a Product Manager to join the team. This company had been backed by Google with their innovation fund and are making waves within the edtech space. They’re looking for a Product Manager with education/edtech experience to come on board and drive their product roadmap across AI capabilities, data dashboards, survey tools and stakeholder feedback features. They’re looking for someone who has come from a B2B Saas product role ideally within the Edtech or someone who has delivered data driven products. This role is remote first with 1 visit a month to either their London or Midlands office with salary up to £70,000 for the right person + benefits. If you’re interested in this role please apply or send your CV to adam.holmes@opusrs.com to apply. No sponsorship available.

BESS Programme Consultant / Project Manager - Renewable Energy - Remote - 6 Month Contract (Outside IR35) Role: BESS Programme Consultant / Project Manager Contract: 6 Month Initial Contract Engagement: Outside IR35 Location: UK Wide – Fully Remote with Occasional Site Visits Commitment: 2–3 Days Per Week Initially, Reducing to 1–2 Days Per Week as the Programme Progresses About the Company Our client is a rapidly growing energy infrastructure business delivering critical decarbonisation projects across the UK. Operating at the intersection of clean energy, power infrastructure and commercial transport, the business is investing heavily in technologies that improve energy resilience, optimise power consumption and support the transition to a lower-carbon future. As part of its growth strategy, the organisation is evaluating and deploying Battery Energy Storage Systems (BESS) across a portfolio of infrastructure projects and is seeking an experienced consultant to provide strategic, technical and project leadership support. The Opportunity This is a high-impact consultancy engagement supporting the development and deployment of Battery Energy Storage Systems across a growing project portfolio. Acting as a trusted advisor to senior leadership, you will help shape BESS strategy, assess project opportunities, engage suppliers and delivery partners, and provide guidance on the most effective technical and commercial solutions. This role is less focused on hands-on engineering design and more focused on project leadership, technical decision-making, supplier management and programme delivery. The successful consultant will bring practical experience delivering BESS projects and will be able to provide clear recommendations on what should be pursued, how projects should be structured and how risks can be managed throughout delivery. Key Responsibilities • Provide strategic guidance on the deployment of Battery Energy Storage Systems across multiple projects, • Advise senior stakeholders on BESS technologies, suppliers, system architectures and commercial considerations, • Review project opportunities and provide recommendations on technical and commercial viability, • Support procurement activities, supplier selection and contract negotiations, • Manage and coordinate external consultants, contractors and technology partners, • Oversee project development activities from feasibility through to delivery and handover, • Support grid connection, DNO engagement and regulatory compliance activities, • Advise on battery sizing, system configuration, energy optimisation and operational strategies, • Identify project risks and implement mitigation strategies, • Monitor project performance, budgets, programmes and key milestones, • Provide technical challenge and independent review of supplier proposals and project assumptions, • Develop business cases and investment recommendations for senior management, • Support the development of long-term energy storage strategy and internal capability Required Experience • Proven experience delivering Battery Energy Storage System (BESS) projects within the UK, • Strong understanding of battery storage technologies, system integration and energy infrastructure projects, • Experience acting as a project manager, owner's engineer, consultant or technical advisor on energy projects, • Experience managing suppliers, contractors and multidisciplinary delivery teams, • Knowledge of grid connections, DNO processes, G99/G100 requirements and energy infrastructure regulations, • Strong commercial awareness with experience evaluating project viability and supplier proposals, • Ability to communicate effectively with both technical and non-technical stakeholders, • Experience providing strategic recommendations and influencing business decisions Desirable Experience • EV charging infrastructure experience, • Renewable energy project delivery experience, • Commercial and industrial (C&I) BESS projects, • Energy optimisation, peak shaving and load management strategies, • Energy trading, flexibility services or ancillary services markets, • Experience supporting infrastructure investors, asset owners or operators, • Familiarity with EMS, SCADA or energy management platforms Contract Details • Initial 6-Month Contract, • Outside IR35, • 2–3 Days Per Week Initially, • Expected to Reduce to 1–2 Days Per Week Following Initial Programme Setup, • Fully Remote, • Occasional UK Site Visits Required, • Immediate Start Available Why Apply? This is an opportunity to play a key role in shaping the deployment of battery energy storage technologies across a growing infrastructure portfolio. Working directly with senior leadership, you will influence strategic decisions, guide project delivery and help establish best practice across a significant BESS programme. If of interest please apply on LinkedIn or email george.taylor@everec.co.uk

Czech & German OR Czech & Polish Customer Service Representative - (Hybrid, mostly remote) Location: Cambridge (Remote and 1 x per month in the Office) Salary: £26,500 per year Client Profile: Origin Multilingual is proud to announce, we are searching for a Czech & German OR Czech & Polish Speaking Customer Service Advisor to join an industry leader in the healthcare industry. This opportunity is offered on a full time basis. Key Purpose The representative will be dealing with inbound and outbound calls on a daily basis to ensure a top-quality service for existing and new customers. You will be in charge of adding value to each customer. Key Responsibilities: • Answering calls from existing and new customers, • Proactively dealing with all queries relating to the business, • Taking orders and bookings via external and internal calls, • Managing email queries, • A professional approach with the ability to build rapport with each customer, • Demonstrating extensive knowledge on all product ranges, • Facilitating calls from B2B and B2C Personal Specification The successful candidate for the position, will have the following competences: • Previous experience in a similar role (preferred but not essential), • Customer service experience (preferred but not essential), • Self-motivated, with a ‘can do’ attitude, • Attention to detail with high level of communication skills is essential, • Czech & German OR Czech & Polish Fluent, • Computer literacy, • A passion to deliver the highest quality for our client’s customers Shift pattern: • Monday to Friday; 08:00-16:15 Additional benefits: • Contributory pension scheme of up to 6%, • Opportunity to buy & sell holiday, • Gym membership discounts, • Contributory hospital and health cash plan, • Cycle2Work scheme, • Eye care vouchers, • Free monthly nutritional and personal care products, • Life assurance, • Discounts at leading brands and retailers

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Research analysts to work with our researchers to improve the performance of AI models. You will apply your expertise in equity research, sector analysis, financial modelling, and investment thesis development to evaluate and train AI systems. If you enjoy solving complex problems in financial research and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on research topics such as equity valuation, sector analysis, earnings estimate modelling, and investment thesis formulation., • Create rubrics to assess model capabilities on tasks like DCF modelling, comparable company analysis, industry research, and initiating coverage reports., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Equity Research, Credit Research, or Sell-Side/Buy-Side Research., • Strong grasp of financial statement analysis, valuation methodologies, sector dynamics, and investment recommendation frameworks., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III) or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Role Overview: In this project, you will leverage your expertise in internal or emergency medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You'll Do: • Design and solve advanced clinical scenarios reflecting internal or emergency medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties (cardiology, endocrinology, nephrology, etc.)., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements: • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal or Emergency Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details: • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification., • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling)., • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Venture Capital professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in startup evaluation, funding rounds, cap table management, and early-stage market analysis to evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing., • Create rubrics to assess model capabilities on tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund operations, or startup advisory)., • Strong grasp of startup valuation methods, term sheet negotiation, cap table mechanics, and venture fund economics., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), MBA in Finance, or operational experience at a high-growth startup. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: Turing is looking for Portfolio Management experts to work with our researchers to improve the performance of AI models. You will leverage your expertise in asset allocation, portfolio construction, rebalancing strategies, and performance attribution to evaluate and train AI systems. If you enjoy solving complex problems in portfolio management and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: • Evaluate LLM models on portfolio management topics such as asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization., • Create rubrics to assess model capabilities on tasks like performance attribution, benchmark comparison, factor analysis, and rebalancing decisions., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: • 2+ years of experience in Portfolio Management (e.g., mutual funds, hedge funds, pension funds, endowments, or wealth management)., • Strong grasp of modern portfolio theory, asset allocation, risk management frameworks, and investment performance measurement., • Excellent English written communication. Bonuses (Not at All Necessary): • CFA (Level I/II/III), CAIA, or MBA in Finance. Perks of Freelancing with Turing: • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details: • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Role Overview 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.

BESS Programme Consultant / Project Manager - Renewable Energy - Remote - 6 Month Contract (Outside IR35) Role: BESS Programme Consultant / Project Manager Contract: 6 Month Initial Contract Engagement: Outside IR35 Location: UK Wide – Fully Remote with Occasional Site Visits Commitment: 2–3 Days Per Week Initially, Reducing to 1–2 Days Per Week as the Programme Progresses About the Company Our client is a rapidly growing energy infrastructure business delivering critical decarbonisation projects across the UK. Operating at the intersection of clean energy, power infrastructure and commercial transport, the business is investing heavily in technologies that improve energy resilience, optimise power consumption and support the transition to a lower-carbon future. As part of its growth strategy, the organisation is evaluating and deploying Battery Energy Storage Systems (BESS) across a portfolio of infrastructure projects and is seeking an experienced consultant to provide strategic, technical and project leadership support. The Opportunity This is a high-impact consultancy engagement supporting the development and deployment of Battery Energy Storage Systems across a growing project portfolio. Acting as a trusted advisor to senior leadership, you will help shape BESS strategy, assess project opportunities, engage suppliers and delivery partners, and provide guidance on the most effective technical and commercial solutions. This role is less focused on hands-on engineering design and more focused on project leadership, technical decision-making, supplier management and programme delivery. The successful consultant will bring practical experience delivering BESS projects and will be able to provide clear recommendations on what should be pursued, how projects should be structured and how risks can be managed throughout delivery. Key Responsibilities • Provide strategic guidance on the deployment of Battery Energy Storage Systems across multiple projects, • Advise senior stakeholders on BESS technologies, suppliers, system architectures and commercial considerations, • Review project opportunities and provide recommendations on technical and commercial viability, • Support procurement activities, supplier selection and contract negotiations, • Manage and coordinate external consultants, contractors and technology partners, • Oversee project development activities from feasibility through to delivery and handover, • Support grid connection, DNO engagement and regulatory compliance activities, • Advise on battery sizing, system configuration, energy optimisation and operational strategies, • Identify project risks and implement mitigation strategies, • Monitor project performance, budgets, programmes and key milestones, • Provide technical challenge and independent review of supplier proposals and project assumptions, • Develop business cases and investment recommendations for senior management, • Support the development of long-term energy storage strategy and internal capability Required Experience • Proven experience delivering Battery Energy Storage System (BESS) projects within the UK, • Strong understanding of battery storage technologies, system integration and energy infrastructure projects, • Experience acting as a project manager, owner's engineer, consultant or technical advisor on energy projects, • Experience managing suppliers, contractors and multidisciplinary delivery teams, • Knowledge of grid connections, DNO processes, G99/G100 requirements and energy infrastructure regulations, • Strong commercial awareness with experience evaluating project viability and supplier proposals, • Ability to communicate effectively with both technical and non-technical stakeholders, • Experience providing strategic recommendations and influencing business decisions Desirable Experience • EV charging infrastructure experience, • Renewable energy project delivery experience, • Commercial and industrial (C&I) BESS projects, • Energy optimisation, peak shaving and load management strategies, • Energy trading, flexibility services or ancillary services markets, • Experience supporting infrastructure investors, asset owners or operators, • Familiarity with EMS, SCADA or energy management platforms Contract Details • Initial 6-Month Contract, • Outside IR35, • 2–3 Days Per Week Initially, • Expected to Reduce to 1–2 Days Per Week Following Initial Programme Setup, • Fully Remote, • Occasional UK Site Visits Required, • Immediate Start Available Why Apply? This is an opportunity to play a key role in shaping the deployment of battery energy storage technologies across a growing infrastructure portfolio. Working directly with senior leadership, you will influence strategic decisions, guide project delivery and help establish best practice across a significant BESS programme. If of interest please apply on LinkedIn or email george.taylor@everec.co.uk

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 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.

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 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 Accounting professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in financial reporting, audit, tax compliance, and accounting standards to evaluate and train AI systems. If you enjoy solving complex problems in accounting and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on accounting topics such as revenue recognition, lease accounting, consolidation, and tax provision calculations., • Create rubrics to assess model capabilities on tasks like journal entry analysis, financial statement preparation, audit procedures, and GAAP/IFRS compliance., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Accounting (e.g., public accounting, corporate accounting, audit, tax, or financial reporting)., • Strong grasp of US GAAP or IFRS, financial statement preparation, audit methodologies, and regulatory compliance., • Excellent English written communication. Bonuses (Not at All Necessary) • CA, CPA, ACCA, CMA, or MBA in Finance/Accounting. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

Role Overview In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning. What You’ll Do • Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management., • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning., • Identify gaps in AI understanding across internal medicine subspecialties., • Collaborate with AI researchers and medical peers to improve model quality and reliability., • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications. Candidate Requirements • MD or equivalent; active practice within the last 3+ years., • Board certification or equivalent qualification in Internal Medicine., • Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine., • Skilled in articulating complex medical reasoning in clear, patient-friendly language., • Excellent written and spoken English; familiarity with digital medical tools is a plus., • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.). Offer Details • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST), • Engagement: Contractor/freelancer (no medical or paid leave), • Duration: 1 month, with possible extension, • Remote: Fully remote, collaborative environment About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at _, and earn money from your network.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Investment Banking professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in M&A advisory, capital raising, financial modeling, and deal structuring to evaluate and train AI systems. If you enjoy solving complex problems in investment banking and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on investment banking topics such as M&A deal analysis, LBO modelling, accretion/dilution analysis, and pitch book creation., • Create rubrics to assess model capabilities on tasks like deal structuring, valuation (DCF, precedent transactions, comps), and due diligence assessments., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Investment Banking (e.g., M&A advisory, ECM, DCM, leveraged finance, or restructuring)., • Strong grasp of financial modelling, deal structuring, valuation methodologies, and corporate finance principles., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III) or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at _ and earn money for successful referrals.

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.

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.

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: 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.