AI Training Expert – Science & Engineering (contract, Remote)

About the role

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.
• No fees or payments are required from candidates.

Skills

• Scientific reasoning
• Data judgment
• Engineering analysis
• Applied problem-solving
• Real-world measurement
• Test data analysis
• Process data analysis
• Statistical reasoning
• Experimental reasoning
• Experiment design
• Measurement error
• Data analysis
• AI/LLM tools
• Evaluating AI-generated responses
• Annotating AI-generated responses
• Designing technical problems
• Writing expert-level solutions and explanations
• Grading model outputs against rubrics
• Technical writing
• Clear written communication
• Following detailed written instructions
• Instrument data
• Test and measurement data
• CAD models
• Simulation outputs
• CAD/simulation files
• Independent work
• Remote work
• Self-directed work
• Quality and throughput management
• Feedback and revision cycles
• MATLAB
• Python
• R
• SolidWorks
• AutoCAD
• SPICE
• GIS
• Chromatography software
• Spectroscopy software
• Cloud file tools
• Google Workspace
• Browser profile management
• Desktop application installation
• Claude
• Excel
• Google Sheets
• File handling
• Show less

Education

Required

• In-progress Bachelor's degree or higher

Preferred

• Advanced degree

Certifications

Preferred

• Professional licensure, including PE