Trabajos data research en RochdaleCrear alertas

Role: Sales Development Representative Location: Remote Employment Type: Full-time Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $50,000 – $75,000 (USD equivalent), plus benefits. Role Overview We are hiring a Sales Development Representative to generate qualified pipeline through outbound prospecting and inbound lead follow-up. The role is the first conversation prospects have with us — and the foundation of every deal that follows. Key Responsibilities • Conduct outbound prospecting via cold calls, emails, and LinkedIn to target accounts, • Qualify inbound leads from marketing campaigns and route them to Account Executives, • Book qualified meetings that convert to pipeline for the sales team, • Maintain accurate activity data and pipeline hygiene in the CRM, • Research target accounts and tailor outreach with relevant context, • Collaborate with marketing on campaign performance and message refinement Required Skills and Qualifications • 1+ years in an outbound SDR/BDR or similar customer-facing role, • Excellent written and verbal communication in English, • Comfort with high-volume outbound activity and quota-driven environments, • Familiarity with CRM (Salesforce, HubSpot) and outreach tools (Outreach, Salesloft, Apollo), • Resilience and the ability to bounce back from rejection, • Curiosity about prospects' problems and a consultative listening style What You'll Bring • A high-output mindset and comfort with quota-driven environments, • Strong written and verbal communication, including objection handling, • Resilience and the ability to bounce back from rejection quickly, • Comfort working asynchronously across time zones What We Offer • Fully remote, flexible work hours, • Performance-based bonus structure, • Annual learning & development stipend, • Health and wellness benefits (varies by location), • Opportunity to work on high-scale, real-world impact projects Equal Opportunity Statement This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • 3+ years of software engineering experience., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

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

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Hands-on experience with co-folding and structure-based models., • Deep knowledge of federated learning and the nuances of privacy risk in distributed environments., • You build experiments to prove (or disprove) privacy claims using quantitative and qualitative data., • You own the "messy" problems and can explain the why behind technical risks to non-technical leaders., • A strong publication record in ML or Computational Biology., • Experience working within industry consortia or complex partnerships., • Past success influencing industry standards or regulatory privacy positions. Remuneration for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

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.

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

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

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.

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 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.

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 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.

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

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

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

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

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

Senior Clinical Research Associate (UK) Remote Position Summary The Sr. CRA is responsible for the oversight and monitoring clinical trials to ensure they are conducted in compliance with the study protocol, ICH-GCP guidelines, applicable regulations, and company SOPs. The Sr. CRA provides CRO oversight or monitoring of site performance, data quality, patient safety, and timely trial execution through effective site management and communication. The Sr. CRA supports the Clinical Trial Manager in oversight of CRO. This individual will contribute to the success of the team and organization by delivering on role-specific responsibilities while upholding our core working behaviors of Trust and Respect, Communication and Feedback, Accountability and Reliability, Objectivity, and Team Balance and Enablement. Key Responsibilities • Site Management & Monitoring, • Conduct targeted oversight or monitoring activities for site selection, initiation, interim monitoring, and close-out visits, • Ensure trial conduct aligns with protocol, ICH-GCP, and regulatory requirements, • Oversee review and verify source data and ensure accurate, complete, and timely data entry, • Perform risk-based monitoring activities (remote and on-site as required), • Training and escalation for CRO CRAs when necessary, • KPI and QTL review and updates to ensure the trial is operating at the highest quality, • Develop and review tools to support the monitoring or oversight of the CRO, • Proactively escalate to the CTMs/PD any deficiencies encountered in their daily work. Regulatory & Documentation • Ensure essential documents are complete and filed appropriately (TMF/CIF/ISF), • Support regulatory submissions and maintenance of site documentation, • Confirm proper informed consent processes are followed and documented Data Quality & Safety • Identify and resolve data discrepancies with site staff and data management, • Support safety reporting processes (AEs/SAEs) and follow-up documentation, • Escalate quality issues and support CAPA implementation when needed Communication & Collaboration • Serve as primary point of contact for assigned sites, proactively address issues and provide solutions., • Provide training and ongoing support to investigators and site teams, • Collaborate with cross-functional teams (Clinical Ops, DM, Safety, QA) Vendor and Study Support • Coordinate with central labs, imaging, and other trial vendors as needed, • Track site performance metrics (enrolment, deviations, query resolution), • Support study timelines and contribute to process improvements Oversight of CRA activities provided by third party • Review CRO deliverables such as monitoring visit reports, follow-up letters, trip reports, and site communication for quality and completeness, • Track CRO performance using agreed metrics (e.g., monitoring visit timeliness, query aging, protocol deviation, TMF completeness), • Escalate site and CRO issues as needed and contribute to issue management and resolution plans, • Participate and attend vendor meetings and have flexibility to support the team travelling abroad., • Support oversight of TMF/eTMF completeness and filing practices, including CRO-generated documents, • Ensure CRO monitors are complying to risk-based monitoring plans and study-specific monitoring requirements, • Support audit/inspection readiness by ensuring CRO monitoring documentation and site files are inspection-ready, • Assist with review of CRO training compliance for assigned sites/staff Skills and Qualifications • Bachelor’s degree in Life Sciences, Nursing, Pharmacy, or related field, • 10+ years of CRA or Clinical research experience, • Familiarity with ICH-GCP, UK/US/EU regulations, and clinical trial documentation, • Excellent organizational and time management skills, • Strong interpersonal and communication skills., • Ability to work independently and manage multiple sites, • Ability to work across time zones, • Experience in Oncology preferably hematological cancers, • Proven ability to build trust and credibility through integrity, openness, and respect., • Demonstrated accountability in delivering results and meeting commitments., • Analytical mindset with the ability to use facts and data to guide decisions., • Experience working on phase 2 and 3 registrational trials is preferred Working Behaviors (Core Expectations) • Trust and Respect: Act with integrity, honesty, and openness to build strong, credible relationships., • Communication and Feedback: Share information clearly, listen actively, and engage in a culture of constructive feedback., • Accountability and Reliability: Take ownership for performance, be dependable, and support others to achieve collective goals., • Objectivity: Align on common objectives and use facts and data to reach fair, effective decisions., • Team Balance and Enablement: Contribute to balanced roles within the team, support delegation, and help colleagues reach their full potential. Why Join Us? At CellCentric, we believe success is built on great teams. By embodying these working behaviors, every member contributes to a high-performing, supportive, and inclusive culture where individuals and the business thrive together. How to Apply Please send your CV and covering letter to

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

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

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

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

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

• Role: Senior Machine Learning Engineer, • Location: Remote, • Employment Type: Full-time Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $150,000 – $250,000 (USD equivalent), plus benefits. Role Overview We are hiring a Senior Machine Learning Engineer to lead the design, training, and deployment of ML systems in production. The role combines deep ML expertise with strong software engineering — owning models from research through scaled inference. Key Responsibilities • Design, train, and deploy machine learning models at production scale, • Lead architecture decisions for training, evaluation, and inference pipelines, • Build evaluation frameworks and monitoring for model quality and drift, • Partner with data engineering on training data pipelines and feature stores, • Mentor junior ML engineers and contribute to ML practice, • Stay current on research and bring proven techniques into production Required Skills and Qualifications • 5+ years in machine learning engineering with production ownership, • Strong Python skills and deep experience with PyTorch or TensorFlow, • Experience training and serving models at scale (deep learning, LLMs, or classical ML), • Hands-on with cloud ML infrastructure (AWS Sagemaker, GCP Vertex, Databricks, or similar), • Strong software engineering fundamentals (testing, code review, system design), • Track record of shipping ML systems that delivered measurable business value What You'll Bring • Curiosity about how models behave and why they fail, • Rigor in following guidelines and flagging ambiguity early, • Strong written communication, including ability to document findings clearly, • Comfort working asynchronously across time zones What We Offer • Fully remote, flexible work hours, • Performance-based bonus structure, • Annual learning & development stipend, • Health and wellness benefits (varies by location), • Opportunity to work on high-scale, real-world impact projects Equal Opportunity Statement This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.

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 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.

Role Overview: Turing is seeking Finance Professionals with strong Investment Banking backgrounds to guide how frontier AI systems learn and reason about complex financial transactions. Your expertise in M&A, IPOs, and deal structuring will directly shape the way AI interprets and models high-stakes corporate finance decisions. This is a remote, highly flexible consulting role that pays $100/hr. Work from anywhere, on your own schedule, while applying your IB experience to influence the next generation of AI-driven capital markets analysis. No AI experience required for this role. What You’ll Do: • Review AI-generated analyses of LBOs, IPO pricing, and M&A valuations., • Evaluate model performance on live-deal inspired case studies., • Develop scoring rubrics and benchmarks that reflect real transaction dynamics., • Collaborate with a global team of quant researchers, economists, and fellow IB specialists. What We’re Looking For: • 2+ years of Investment Banking experience (M&A, IPOs, restructuring, or capital raising)., • Proven track record in deal modelling, valuations, or transaction advisory., • Strong knowledge of corporate finance, risk, and capital structure., • Excellent written communication., • No AI experience required, • Preferred: CFA (any level), CA/CPA, or MBA in Finance. Offer Details: • Engagement: Advisory consulting (~10–30 hrs/week)., • Location: Fully remote — work anywhere, anytime., • Duration: Initial 1-month pilot, with potential for multi-month projects., • Compensation: $100/hr+ consulting rate. About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at ___ and earn money for successful referrals.

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

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

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

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Trading professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in trade execution, market analysis, order flow dynamics, and risk management to evaluate and train AI systems. If you enjoy solving complex problems in trading and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on trading topics such as execution strategies, market microstructure, order book analysis, and position management., • Create rubrics to assess model capabilities on tasks like trade sizing, risk/reward evaluation, technical analysis, and market impact assessment., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Trading (e.g., equities, fixed income, FX, commodities, or derivatives trading at a bank, hedge fund, or prop trading firm)., • Strong grasp of market dynamics, execution algorithms, risk management, and trading strategies across asset classes., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), FRM, Series 7/63, or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at ___ and earn money for successful referrals.

JOB DETAILS: • Location: Canada, • Role: Supervisory Analyst, • Work Mode: Remote, • Years of experience: 2+ years KEY RESPONSIBILITIES: • Approve equity, fixed income and strategy research reports, • Ensure compliance with regulatory requirements and the firm’s editorial guidelines, including that research be clear and fair, • Ensure recommendations are substantiated by relevant data and investment rationales contain logical integrity, realistic assumptions and an assessment of risks, • Ensure research does not contain promissory language, exaggerated claims, gambling language, opinions that lack a reasonable basis, and unsubstantiated negative management commentary, • Interact with management, research analysts, legal, compliance and colleagues to finalize research reports, • Assess the accuracy of data KEY COMPETENCE: • CIRO certified Supervisory Analyst, • 2+ years of relevant experience, • Good interpersonal skills and excellent written and oral communication skills with English, • Team player who can work in a high-pressure environment; should have the ability to prioritize and juggle several projects at the same time, • Must be comfortable working independently with strong accountability, while also coordinating smoothly across global teams

• Role: Product Manager, • Location: Remote, • Employment Type: Full-time Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $110,000 – $170,000 (USD equivalent), plus benefits. Role Overview We are hiring a Product Manager to own a product area end-to-end. The role drives strategy, prioritisation, and execution — partnering with engineering, design, and go-to-market teams to ship things customers love and the business needs. Key Responsibilities • Own the roadmap and strategy for a defined product area, • Conduct customer research, write product specs, and align stakeholders, • Partner closely with engineering and design through the build cycle, • Define and track product metrics; iterate based on data, • Coordinate launches with marketing, sales, and customer success, • Make tough prioritisation calls and communicate the why clearly Required Skills and Qualifications • 4+ years as a Product Manager shipping software products, • Strong analytical skills and comfort with quantitative decision-making, • Excellent written communication, including PRDs and stakeholder updates, • Familiarity with product analytics tools (Amplitude, Mixpanel, GA4), • Bias for action and ability to drive ambiguous projects to outcomes, • Empathy for customers and curiosity about their problems What You'll Bring • Curiosity to dig into systems and turn findings into shipped improvements, • Strong written communication and ability to explain technical decisions, • A test-and-learn mindset; you ship fast, measure, and iterate, • Comfort working asynchronously across time zones What We Offer • Fully remote, flexible work hours, • Performance-based bonus structure, • Annual learning & development stipend, • Health and wellness benefits (varies by location), • Opportunity to work on high-scale, real-world impact projects Equal Opportunity Statement This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.

A leading market research company in the UK seeks part-time Field Market Research Interviewers. As an interviewer, you will gather valuable opinions from your community door-to-door, using a company tablet to record data.

Estimator Pre-Construction Division Location: Oldham £50k - £60k + Package Employment Type: Full-Time Sector: Construction / Pre-Construction Reports to: Pre-Construction Manager Overview An established construction business is seeking an experienced Estimator to join its Pre-Construction division. This role is responsible for managing the full tendering and estimating process, delivering accurate, competitive, and commercially viable estimates in line with fluctuating market conditions. The Estimator will play a critical role in supporting work-winning activities and maintaining strong client relationships throughout the tender lifecycle. Key Responsibilities Tender Process Management Receive, review, and organise tender documentation. Upload all tender information into CRM software and maintain an up-to-date tender register. File and manage documents on the internal server for clear project visibility. Conduct initial bid appraisals to support bid/no-bid decisions. Identify key client stakeholders and decision makers. Review workload weekly with the Pre-Construction Manager to agree tender priorities. Fully interpret the scope of works and accurately measure client drawings. Produce marked-up drawings and clear take-off lists. Prepare accurate preliminary costs considering programme, specifications, and operational requirements. Pricing & Bid Preparation Build up rates using client specifications and standard estimating formats. Review contract conditions and scope to ensure full bid compliance. Prepare general and project-specific qualifications and clarifications. Produce high-quality tender submissions for approval prior to client issue. Continuously monitor market conditions to maintain competitive pricing. Submit bids on time, supporting the businesss work-winning process. Risk, Opportunity & Competitor Analysis Assess tenders for risks and opportunities, reporting strategies back to the Pre-Construction Manager. Research and understand competitor activity for each project. Operational & Commercial Handover Present full project details at handover meetings following a successful bid. Liaise with operational and commercial teams throughout the tender process. Ensure seamless transition of documentation and communication from estimating to pre-construction. Reporting & Administration Produce tender information for estimating timetables and resource planning. Update tender spreadsheets and CRM systems regularly. Generate weekly tender progress reports for review with the Pre-Construction Manager. Client Management Act as a proactive point of contact for clients throughout the tender journey. Provide solutions and respond to client queries professionally. Issue tender submissions upon internal approval. Follow up with clients post-submission and report updates for weekly internal meetings. Values & Behaviours The successful candidate will naturally align with core industry values such as teamwork, honesty, doing things right the first time, and striving for excellence in all areas of work. Skills, Experience & Personal Attributes Essential Strong data management and software skills. Proficient with Microsoft Office applications. Ability to interpret construction drawings. Understanding of on-site operational delivery. Commercially aware and financially astute. Exceptional attention to detail. Highly organised, with the ability to manage multiple deadlines. Effective communicator with strong influencing skills. Process-driven and structured in approach. Experience managing diverse stakeholder groups. Strong interpersonal communication skills. Desirable Technical knowledge in Drylining, SFS, Metframe, or similar. Understanding of construction preliminary cost build-ups. Awareness of construction contracts and commercial processes. Knowledge of construction programming methodologies. Qualifications Essential A-Level education (or equivalent). Construction-related qualification (preferably HNC or above). Desirable Technical product training. Professional membership (e.g., RICS, CIOB). TPBN1_UKTJ

Social Value Manager Oldham £35,000 - £40,000 + Package We are recruiting on behalf of a leading construction business seeking an experienced Social Value Manager to take ownership of Social Value delivery across multiple live projects. This is a fantastic opportunity to join a forward-thinking contractor with a strong commitment to meaningful community impact, employment & skills delivery, and measurable social value outcomes. The Role You will take full ownership of Social Value Plans across projects, ensuring all contractual commitments are delivered, evidenced and reported throughout the lifecycle of each scheme. This is a strategic and delivery-focused position requiring strong stakeholder engagement, data reporting capability, and the ability to drive continuous improvement. Key Responsibilities • Lead and deliver all Social Value commitments across live construction projects, • Manage and monitor performance against Social Value targets, • Collect, analyse and report qualitative and quantitative data (including use of platforms such as Social Value Portal), • Engage with local communities to identify needs and develop impactful initiatives, • Build relationships with clients, local authorities, education providers and VCSE organisations, • Coordinate employment, skills, work experience and apprenticeship opportunities, • Collaborate with the supply chain to capture social value contributions (local labour, apprentices, volunteering, charitable activity etc.), • Support Considerate Constructors Scheme requirements and site audits, • Contribute to tender submissions through research, planning and case study development, • Produce project newsletters and communications to showcase impact What We’re Looking For • Experience delivering Social Value within the construction sector, • Strong understanding of employment & skills programmes and community engagement, • Experience reporting against contractual Social Value targets, • Confident stakeholder manager across multiple levels, • Ability to manage multiple projects simultaneously, • Strong data analysis and reporting skills, • Knowledge of Social Value measurement frameworks and portals What’s On Offer • Competitive salary, • Car allowance (if applicable), • Pension & benefits package, • Opportunity to shape and drive meaningful community impact, • Clear progression pathway within a growing business

Social Value Manager Oldham £35,000 - £40,000 + Package We are recruiting on behalf of a leading construction business seeking an experienced Social Value Manager to take ownership of Social Value delivery across multiple live projects. This is a fantastic opportunity to join a forward-thinking contractor with a strong commitment to meaningful community impact, employment & skills delivery, and measurable social value outcomes. The Role You will take full ownership of Social Value Plans across projects, ensuring all contractual commitments are delivered, evidenced and reported throughout the lifecycle of each scheme. This is a strategic and delivery-focused position requiring strong stakeholder engagement, data reporting capability, and the ability to drive continuous improvement. Key Responsibilities Lead and deliver all Social Value commitments across live construction projects Manage and monitor performance against Social Value targets Collect, analyse and report qualitative and quantitative data (including use of platforms such as Social Value Portal) Engage with local communities to identify needs and develop impactful initiatives Build relationships with clients, local authorities, education providers and VCSE organisations Coordinate employment, skills, work experience and apprenticeship opportunities Collaborate with the supply chain to capture social value contributions (local labour, apprentices, volunteering, charitable activity etc.) Support Considerate Constructors Scheme requirements and site audits Contribute to tender submissions through research, planning and case study development Produce project newsletters and communications to showcase impact What Were Looking For Experience delivering Social Value within the construction sector Strong understanding of employment & skills programmes and community engagement Experience reporting against contractual Social Value targets Confident stakeholder manager across multiple levels Ability to manage multiple projects simultaneously Strong data analysis and reporting skills Knowledge of Social Value measurement frameworks and portals Whats On Offer Competitive salary Car allowance (if applicable) Pension & benefits package Opportunity to shape and drive meaningful community impact Clear progression pathway within a growing business TPBN1_UKTJ