Electrical Engineering
About this role
About the Role We partner with the world's leading AI research labs to build smarter, more capable AI systems — and we need electrical engineers to help get there. As an AI Data Trainer, you'll stress-test advanced language models on real engineering problems, expose their blind spots, and help shape how AI reasons through complex technical challenges. This is a fully remote, flexible contract role designed for engineers who want to do meaningful work on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Craft advanced electrical engineering problems across circuit analysis, power systems, signal processing, electromagnetics, and more to push AI to its limits - Author Ground-Truth Solutions — Develop rigorous, step-by-step solutions and benchmark responses that AI models use to learn correct engineering reasoning - Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.) - Improve AI Reasoning — Identify flawed logic in AI outputs and provide structured, expert feedback that directly improves how models think through engineering problems - Document Failure Modes — Systematically record where and how AI reasoning breaks down so research teams can address gaps Who You Are - Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field - Strong domain knowledge in one or more of: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing - Able to communicate complex technical concepts clearly and precisely in writing - Highly detail-oriented when reviewing equations, circuit logic, and technical documentation - Self-directed and comfortable working asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, technical evaluation, or quality assurance workflows - Familiarity with simulation tools (MATLAB, SPICE, etc.) - Background in standards compliance or engineering documentation Why Join Us - Work on cutting-edge AI projects with top-tier research labs - Fully remote and flexible — work when and how much you want - Contribute directly to how AI understands and applies electrical engineering - Freelance perks: autonomy, variety, and global collaboration - Potential for ongoing work and contract extension
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