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Design, build, and maintain backend services and frontend experiences for a secure verification platform in a fast-paced early-stage environment. | 3+ years full stack/backend experience, proficiency in Go and TypeScript, experience with AI-assisted development, scalable cloud applications, and strong problem-solving skills. | About the Role Our Client is looking for a Full Stack Engineer to build the systems behind Proof of Reality. You will design and ship the backend and frontend that power hardware-free palm verification at scale, working directly with the founding team before a formal engineering function exists. Strong candidates are pragmatic builders who care about performance, security, and shipping fast in an early-stage environment. We build with AI, not around it: the team uses AI coding tools like Claude Code, Codex, and Cursor every day. We care as much about your judgment in reviewing what they produce as the speed they give you — in a fraud and biometrics product, knowing when the model is wrong is the job. What You’ll Do • Design, build, and maintain backend services and APIs that power verification platform. • Build front-end experiences and integrate them cleanly with backend systems. • Ship scalable, secure, cloud-based infrastructure across our stack. • Work directly with product and the founding team to turn ideas into shipped features quickly. • Optimize, troubleshoot, and harden existing code as the product grows. What You’ll Bring • 3+ years building production software as a full stack or backend engineer. • Strong foundation in software development, object-oriented programming, database design, and API development. • Proficiency in Go and TypeScript — our backend is Go and our web stack is React/Next.js — with comfort working across the front-end and back-end boundary. Python is a plus. • Fluency with AI-assisted development. You use tools like Claude Code, Codex, or Cursor in your daily workflow and have a clear sense of where they help, where they don’t, and how to review AI-generated code critically. • Experience with scalable, cloud-based applications. • Strong problem-solving skills and the ability to thrive in a collaborative, early-stage team. Strong Candidates May Also Have • Experience with AI, biometrics, privacy, or security-sensitive systems. • A track record shipping products from zero to one without a defined playbook. • Hands-on experience with agentic or autonomous coding tools — e.g., OpenClaw or Hermes Agent — beyond the mainstream assistants. • Familiarity with crypto, identity, or digital trust as a product category. • Remote. US-based only. (SF, NYC, Miami preferred)

Annotate and classify diverse datasets to improve AI model accuracy and reasoning in a fully remote, short-term contract role. | Must be U.S.-based with strong reading comprehension, analytical, and writing skills; prior data labeling experience preferred but not required. | Generalist Data Annotation Expert Hourly Contract | Remote $45 per hour About the Role A leading AI research initiative is seeking detail-oriented generalists to support the development and fine-tuning of advanced AI systems. In this role, you will help improve AI model accuracy and reasoning by categorizing, labeling, and structuring diverse datasets. Your work will directly influence the quality, reliability, and interpretability of next-generation AI technologies. This is a short-term, fully remote engagement with potential for extension based on project performance. Key Responsibilities • Synthesize large volumes of information into clear, structured outputs. • Annotate and classify text, images, and multimedia data according to precise project guidelines. • Apply standardized rubrics and taxonomies to ensure consistent labeling quality. • Identify and flag errors, ambiguities, or inconsistencies in datasets. • Contribute to the evaluation and enhancement of AI reasoning and perception systems. Ideal Qualifications • Based in the United States. • Strong ability to process and structure complex information efficiently. • Excellent reading comprehension, analytical, and writing skills. • Prior experience in data labeling, content moderation, taxonomy development, or linguistic annotation (preferred but not required). • Comfortable working independently and maintaining quality under flexible scheduling. Project Timeline • Start Date: Immediate • Duration: Through October (potential extension through year-end) • Commitment: ~20 hours/week • Schedule: Fully remote and asynchronous — set your own working hours Compensation & Contract • Rate: $45 USD/hour (U.S.-based contractors) • Contract Type: Independent contractor • Payments: Weekly via Stripe Connect Application & Onboarding Process • Submit your resume to begin the process. • Complete a short Training Assessment to demonstrate attention to detail and comprehension. • Receive a response within 1–2 business days with next steps. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡

Design and review consulting-style prompts and evaluation rubrics, benchmark AI responses, provide feedback on business reasoning, and collaborate asynchronously with AI researchers. | 2+ years at a top-tier consulting firm with strong skills in strategic problem-solving, market research, structured analysis, and exceptional communication. | Consulting Expert Hourly Contract | Remote | Offers Equity $80–$120 per hour About the Role A leading AI research initiative is seeking experienced Management Consultants to collaborate on a long-term project focused on benchmarking and enhancing the reasoning capabilities of cutting-edge AI systems. In this role, you’ll design and evaluate consulting-style scenarios, frameworks, and case analyses to help large language models (LLMs) learn how top-tier consultants reason, structure business problems, and communicate insights. Your expertise will directly shape how AI systems interpret strategy, operations, and management challenges with human-level analytical precision. Key Responsibilities • Design and review consulting-style prompts, structured answers, and evaluation rubrics. • Benchmark AI-generated responses against established consulting frameworks and real-world standards. • Provide structured feedback on analytical rigor, communication clarity, and business reasoning. • Conduct targeted research to inform prompt quality and evaluation consistency. • Collaborate asynchronously with AI researchers and consulting peers to refine model performance. Ideal Qualifications • 2+ years of experience at a top-tier consulting firm (e.g., McKinsey, Bain, BCG, or equivalent). • Strong skills in strategic problem-solving, market research, and structured analysis. • Exceptional written communication and attention to logical consistency. • Ability to synthesize insights from multiple data sources into coherent business narratives. • Experience in case design, training, or performance evaluation is a plus. Project Timeline • Start Date: Immediate • Duration: 4 weeks (with potential for extension) • Commitment: Flexible, ~20+ hours/week • Schedule: Fully remote and asynchronous — work on your own schedule Compensation & Contract • Hourly Rate: $80–$120 USD/hour (depending on experience) • Equity: Offered to high-performing contributors • Bonuses: Weekly incentives ($20–$100/hr) for top performers • Contract Type: Independent contractor • Payments: Daily via Stripe Connect Application & Onboarding Process • Submit your resume or consulting profile outlining relevant project experience. • Complete a short 15-minute AI interview to assess domain expertise and analytical style. • Mercor team will follow up within a few days with next steps. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡

Review and refine AI-generated code and analyses, validate statistical and computational accuracy, provide feedback, categorize datasets, and contribute to benchmarking AI model performance. | 3+ years in data science or related field, proficiency in Python and SQL, experience with ML frameworks, strong statistical and analytical skills, and excellent communication. | Data Science Expert Hourly Contract | Part-time Remote (US) $80 –$120 per hour About the Role A leading AI research initiative is seeking experienced Data Science Experts to support high-impact collaborations focused on advancing the reasoning, accuracy, and reliability of cutting-edge AI systems. In this role, you’ll apply your data science and engineering expertise to evaluate model performance, design algorithmic benchmarks, and improve the technical rigor of AI-generated code and analyses. Your contributions will directly shape how next-generation AI systems reason, code, and learn. Key Responsibilities • Review and refine AI-generated code, prompts, and analytical outputs. • Validate technical concepts for statistical soundness and computational accuracy. • Provide structured feedback on solution quality, logic, and clarity. • Categorize and label datasets, prompts, and models by topic and difficulty. • Contribute to benchmarking and evaluation frameworks for model performance. Ideal Qualifications • 3+ years of experience in data science, machine learning, or applied statistics (industry or research). • Degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field (Bachelor’s minimum; advanced degree preferred). • Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus. • Experience building and deploying ML models using scikit-learn, TensorFlow, or PyTorch. • Skilled in statistical analysis, feature engineering, and data wrangling on large datasets. • Excellent analytical, communication, and documentation skills. Project Timeline • Start Date: Immediate • Duration: 1–2 months (potential for extension) • Commitment: 15–25 hours/week (flexible up to 40 hours/week) • Schedule: Fully remote and asynchronous — work on your own time Compensation & Contract • Rate: $80–$120 USD/hour (based on experience) • Contract Type: Independent contractor • Payments: Daily via Stripe Connect Application & Onboarding Process • Upload your resume or CV. • Complete a short AI-led interview (15 minutes). • Receive onboarding materials and next steps within a few days. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡

Design and evaluate complex physics problems to improve AI reasoning in physics, providing detailed feedback and collaborating asynchronously with researchers. | PhD in Physics or related field, 2+ years physics research or academic experience, strong analytical and communication skills, preferably prior academic content evaluation experience. | Physics Expert (PhD) Hourly Contract | Part-time Remote (US) $70 –$85 per hour About the Role A leading AI research initiative is seeking Physics PhD experts to contribute to a frontier project advancing large language models (LLMs). In this role, you’ll leverage your deep subject-matter expertise to design, evaluate, and refine high-quality physics problems that challenge AI systems to reason with precision and scientific rigor. Your work will directly influence how next-generation AI models understand and replicate real-world reasoning in physics — spanning classical mechanics, electromagnetism, thermodynamics, quantum mechanics, and relativity. Key Responsibilities • Develop and assess complex, real-world physics problems across major subfields. • Evaluate AI-generated responses for scientific accuracy, mathematical rigor, and conceptual depth. • Provide clear, structured written feedback on model outputs and solutions. • Collaborate asynchronously with AI researchers to improve reasoning, consistency, and fidelity in physics-related datasets. • Maintain academic precision and ensure all content meets the highest standards of scientific integrity. Ideal Qualifications • PhD in Physics or a closely related discipline from a top-tier university. • 2+ years of experience in academia or research (teaching, publication, or professional work as a physicist/engineer). • Strong analytical reasoning and exceptional attention to detail. • Excellent written and verbal communication skills in English. • Prior experience evaluating academic or technical content preferred. Project Timeline • Start Date: Immediate • Duration: 1–2 months • Commitment: Part-time (~20 hours/week, extendable to 40 hours/week) • Schedule: Fully remote and asynchronous — work flexibly on your own time Compensation & Contract • Rate: $70–$85 USD/hour (based on experience) • Contract Type: Independent contractor • Payments: Weekly via Stripe Connect Application & Onboarding Process • Submit your resume and brief application form. • Complete a 15-minute AI interview focused on your domain expertise and interests. • Participate in a paid, 4-hour work trial to demonstrate your ability to create and evaluate physics-specific content. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡