We are seeking experienced science and engineering professionals for fully remote, project-based contract work training and improving AI systems. Contributors evaluate AI-generated responses, create realistic technical problems, write expert explanations, and grade model outputs against detailed rubrics. The role requires approximately 2+ years of applied science or engineering experience, an in-progress Bachelor's degree or higher, hands-on experience with real-world technical data, strong written communication, and independent working ability.
Key Responsibilities
Review and evaluate AI-generated responses to science and engineering prompts, including analyses, calculations, experimental designs, and technical explanations.
Design realistic and challenging technical problems based on professional experience in science or engineering.
Write clear, expert-level solutions and explanations that can serve as model training examples.
Grade model outputs against detailed rubrics and identify errors, flawed reasoning, ambiguity, or unsupported conclusions.
Provide corrective guidance that improves the accuracy, rigor, and reliability of AI-generated responses.
Run tasks against AI models and iterate based on expert reviewer feedback.
Apply scientific reasoning, statistical reasoning, experimental reasoning, and data judgment to realistic technical scenarios.
Analyze real-world measurement, test, and process data, including instrument data, test and measurement files, CAD models, simulation outputs, and lab records.
Follow detailed written instructions precisely, including document and upload format requirements.
Maintain consistent quality and throughput throughout project-based sprint engagements while working independently.
Explain technical conclusions in complete, clear written English and participate constructively in feedback and revision cycles.
Required Qualifications
Approximately 2+ years of applied science or engineering experience in industry or advanced research.
Experience in a science or engineering discipline such as mechanical, electrical, civil, materials, energy, chemical, environmental, physics, or a similar field.
An in-progress Bachelor's degree or higher. Undergraduate study does not count toward the experience minimum.
Hands-on individual-contributor experience performing technical work such as design, test, process, or analysis rather than working solely in a managerial capacity.
Hands-on practice with real-world technical data, including instrument data, test and measurement data, CAD models, simulation outputs, or lab records.
Comfort with statistical and experimental reasoning, including experiment design, measurement error, and common statistical traps.
Strong written communication skills and the ability to explain complex concepts clearly and concisely.
Careful reading of written instructions and willingness to complete feedback and revision cycles.
General familiarity with AI/LLM tools at the user level.
Baseline tech literacy, including cloud file tools, browser profile management, desktop application installation, and everyday file handling.
Ability to work independently in a remote, self-directed environment.
Availability for project-based work; no minimum weekly commitment is required, although approximately 10 hours per week is recommended as a starting point.
Assessment submissions must reflect the candidate's own expertise. AI or LLM assistance is not permitted and results in disqualification.
Benefits and Perks
Fully remote, self-directed project-based work.
Flexible participation with no minimum weekly commitment and approximately 10 hours per week recommended as a starting point.
Pay of $40–$125+ per hour on a project basis.
Payment through PayPal on a regular cadence.
Opportunities to contribute to AI training across generalist and specialized science and engineering projects.
Work that applies professional expertise to improve the accuracy and reliability of AI systems.