Help shape the future of AI by designing challenging electrical engineering problems that test and improve reasoning in cutting-edge models.
Location: Remote
Type: Contract / Part-time
Commitment: 20 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
Availability: Immediate start
We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.
We are looking for experts in Electrical Engineering to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.
Design advanced electrical engineering problems for frontier AI training and evaluation
Create deterministic problems with exactly one correct answer
Write complete, verified solutions and clearly document the reasoning process
Develop problems involving circuits, electronics, signal processing, control systems, electromagnetics, power systems, or communications
Create problems that require multi-step quantitative reasoning and engineering judgment
Where relevant, use Python, MATLAB/Simulink, SPICE, or specialized engineering software to validate solutions
Ensure all outputs are technically precise, reproducible, and well-written in English
Master’s or PhD in Electrical Engineering or a closely related field
Strong research or industry experience in electrical systems, electronics, signal processing, controls, communications, or power engineering
Strong mathematical and computational problem-solving skills
Solid grasp of circuit analysis, modeling, numerical methods, and engineering fundamentals
Ability to design original, difficult problems that mirror real electrical engineering workflows
Excellent attention to detail and technical writing skills in English
Experience with MATLAB/Simulink, Python, LTspice, PSpice, PSCAD, LabVIEW, or similar tools
Background in control theory, digital signal processing, power electronics, RF systems, or embedded systems
Experience evaluating model reasoning, developing benchmarks, or creating technical assessments