Jobs at Anyone AI

Design, build, and maintain automation workflows and data pipelines across admissions, education, career services, and billing. Create BI dashboards, ensure data accuracy, manage lightweight databases (e.g., Supabase), and support cross-functional teams to improve operational efficiency and scalability.

Design and own frontier evaluation methodology and benchmarks for LLMs across reasoning, coding, agents, tool use, and multi-modal tasks. Build expert-verified benchmark packages, recruit and calibrate subject-matter experts, act as technical liaison to labs, and deliver lab-ready pilot evaluation packages with rigorous QC and validation.

Lead the ML Fellowship Job Preparation Program: onboard Fellows, improve LinkedIn/resumes/cover letters, run mock interviews and negotiation coaching, deliver 1:1 support until placement, manage job-prep tools, liaise with hiring managers in US/LATAM, report placement metrics, collect feedback, and provide post-placement support.

Design, implement, and review realistic multi-file backend coding tasks. Create clear specifications and reference implementations, develop unit/integration tests, and provide structured peer review feedback. Ensure correctness, robust test coverage, and alignment between specs, code, and outputs.

Design and evaluate realistic multi-file backend coding tasks: bug fixes, feature implementations, refactorings, and test generation. Produce clear specifications, reference implementations, unit/integration tests, and review peer submissions for correctness, clarity, and robustness.

Design and evaluate realistic multi-file backend engineering tasks: implement bug fixes, features, refactors, and tests; write clear specifications and reference implementations; develop unit/integration test suites; review peer submissions; identify edge cases and ensure alignment between specs, code, and expected outputs. Part-time, project-based remote consultant role.

Design and evaluate realistic multi-file backend coding tasks: implement bug fixes, features, refactors, and tests; write specifications and reference implementations; develop unit/integration tests; and review peer submissions for correctness, clarity, and robustness.

Design and evaluate multi-file backend coding tasks: implement bug fixes, features, refactorings, and tests; write clear specifications and reference implementations; develop unit/integration test suites; review peer submissions for correctness and realism; identify edge cases and ensure alignment between specs, code, and expected outputs.

Design and evaluate multi-file backend coding tasks, implement reference solutions, develop unit/integration tests, review peer submissions, identify edge cases, and ensure alignment between specifications, code, and expected outputs for production-realistic scenarios.

Design and evaluate realistic multi-file backend engineering tasks: bug fixes, feature work, refactors, and tests. Create clear specifications and reference implementations, extend unit/integration test suites, and perform detailed peer reviews identifying edge cases, ambiguities, and failure modes. Deliver production-realistic tasks, correct reference code, robust test coverage, and structured review feedback.

Design, implement, and review multi-file backend coding tasks, write natural-language specifications and reference implementations, develop and extend unit/integration tests, and provide structured peer review feedback to ensure realistic, production-quality outcomes.

Remote role evaluating and improving AI models: assess factual accuracy and technical quality, craft and answer advanced ML/AI prompts, identify errors and weak reasoning, and provide clear feedback to improve model performance.

Assess and evaluate AI-generated technical content, craft and answer advanced ML/AI questions, identify errors and hallucinations, rank responses by correctness and clarity, and provide precise feedback to improve model performance.

Remote role for ML/AI experts to assess AI-generated content, craft and answer advanced technical prompts, evaluate model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Evaluate AI-generated content for accuracy and relevance, craft and answer advanced technical prompts, identify errors or hallucinations, rank and compare model outputs, and provide actionable feedback to improve model performance.

Evaluate AI-generated technical content, create and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide actionable feedback to improve models.

Evaluate and rate AI-generated ML/AI content for factual accuracy, technical quality, and clarity; create and answer advanced technical prompts; identify hallucinations and weak reasoning; provide actionable feedback to improve model performance.

Remote role for ML/AI experts to assess AI-generated content, craft technical prompts and answers, evaluate model responses for accuracy, relevance, and clarity, identify errors and hallucinations, and provide feedback to improve model performance.

Remote Machine Learning/AI expert role evaluating AI-generated content, creating technical prompts and answers, and assessing model responses for accuracy, relevance, and clarity to improve AI systems.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.