• Contribute to evaluation frameworks for clinical AI products, including defining acceptance criteria, test plans, clinically relevant rubrics, and performance benchmarks. • Conduct structured sampling reviews of AI-generated outputs, assessing across criteria alignment with ABA principles and BACB ethical standards. • Design and implement monitoring automation in collaboration with engineering, including automated quality checks, alerting thresholds, and drift detection for AI systems. • Contribute to the creation and maintenance of reusable governance artifacts including system cards, monitoring playbooks, evaluation of SOP templates, and risk assessment documentation. • Assist with pre-deployment validation testing for new AI products and features, executing defined testing and results of documentation. • Participate in risk tiering assessments for new and evolving AI products, providing clinical and evaluative perspectives. • Support incident investigation for AI-related issues if/as needed and in alignment with clinical best practice and CR Development Policy. • Collaborate with product management and engineering teams to provide input during product planning and development, ensuring governance considerations are integrated early. • Contribute to the development of evaluation methodology and standards for clinical AI use cases, documenting approaches and refining processes based on findings and emerging best practices. • Contribute to AI literacy and training content for internal teams and customers, drawing on hands-on clinical evaluation experience. • Stay current with developments in AI evaluation methodology, LLM behavior, ABA best practices, and relevant regulatory and ethical standards. • Support CentralReach's thought leadership in responsible AI through contributions to conference presentations, professional publications, or applied research as opportunities arise.

Role Description - Develop challenging problems in your domain to enhance AI model training. - Evaluate and improve AI model outputs through rigorous data analysis. - Collaborate with AI research teams to refine training data quality. - Work independently and asynchronously to meet project deadlines. - Shape the future of AI innovation with your domain expertise. Qualifications - Must-Have STEM PhD from a US, UK, Canadian, or European university. - High attention to detail. - Exceptional written and verbal communication skills. - Excellent proficiency in English. Requirements - Start Date: April; applications reviewed on a rolling basis. - Complete a short interview that will take 20–30 mins in total. Benefits - Compensation: $60–$80/hour. - Location: Remote. - Commitment: 15–20 hours/week. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role Description - Solve advanced mathematical problems across competition math, proof-based mathematics, and quantitative reasoning to generate frontier AI training data. - Evaluate and provide expert feedback on AI-generated mathematical reasoning and proofs. - Develop original, research-grade problems and solutions in areas such as number theory, combinatorics, algebra, real analysis, and probability. - Apply quantitative and statistical methods to assess and improve model performance on mathematical benchmarks. - Collaborate with AI research teams to identify gaps in mathematical reasoning and design targeted training tasks. Qualifications - Demonstrated participation or achievement in elite competitive mathematics (IMO, USAMO, Putnam, or equivalent national/international olympiads). - Deep proficiency across multiple mathematical disciplines including proof-based mathematics, combinatorics, number theory, real and complex analysis, linear algebra, and probability. - Strong quantitative background with experience applying mathematical rigor to research or industry problems (e.g., quantitative finance, theoretical CS, or academic research). - Bachelor's degree or higher in Mathematics, Applied Mathematics, Statistics, or a related field (advanced degree preferred). - Ability to produce precise, well-structured mathematical writing. Requirements - Contract position. - Compensation: $40–$60/hour. - Location: Remote. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome . - For any help or support, reach out to: support@mercor.com . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description - Submit photos to enhance visual AI systems. - Provide a variety of photos showing different looks, angles, and qualities. - Ensure all photos are clear, recent, and high quality. - Maintain authenticity with no AI-generated or digitally altered images. - Collaborate on licensing agreements for selected photos. Qualifications - Residency in the United States, excluding California, Illinois, Texas, and Washington. Requirements - Application Process (Takes 20–30 mins to complete): - Upload resume - AI interview based on your resume - Submit form Benefits - Compensation: $20/hour - Location: Remote Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.