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Design advanced, deterministic electrical engineering problems for AI training and evaluation. Create uniquely verifiable answers, complete solutions, and clearly documented reasoning across circuits, electronics, signal processing, controls, electromagnetics, power systems, and communications. Validate solutions using tools such as Python, MATLAB/Simulink, SPICE, or specialized engineering software while ensuring technical precision, reproducibility, and clear English documentation.

Design advanced, deterministic mechanical engineering problems for AI training and evaluation. Develop uniquely solvable problems across mechanics, thermodynamics, fluid mechanics, heat transfer, dynamics, and mechanical systems. Write complete verified solutions, document reasoning, and use computational tools to validate results. Work remotely for 20 hours per week on a two-month contract with potential extension.

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.

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.

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.

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.

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.

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.

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.