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About the Role:
- We create high-quality STEM training data for frontier AI models.
- Design rigorous, deterministic problems that challenge state-of-the-art AI systems.
- Each problem must have exactly one verifiable correct answer with a complete solution.
Key Responsibilities:
- Design advanced electrical engineering problems for frontier AI training and evaluation.
- Write complete, verified solutions and document reasoning processes.
- Use Python, MATLAB/Simulink, SPICE, or similar tools to validate solutions.
Qualifications:
- Master's or PhD in Electrical Engineering or closely related field.
- Strong research or industry experience in electrical systems, electronics, signal processing, controls, or power engineering.
- Excellent mathematical and computational problem-solving skills.
Nice to Have:
- Experience with MATLAB/Simulink, Python, LTspice, PSpice, PSCAD, LabVIEW, or similar.
- Background in control theory, digital signal processing, power electronics, RF systems, or embedded systems.
- Experience evaluating model reasoning, developing benchmarks, or creating technical assessments.
Anyone AI
Anyone AI creates high-quality STEM training data for frontier AI models. They are a small, expert team dedicated to improving AI reasoning in technical domains.