Electrical Engineering
About this role
About the Role We're looking for experienced electrical engineers to help train and evaluate cutting-edge AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from circuit analysis to power systems — making a real impact on the future of intelligent technology. This is a fully remote, flexible contract role designed to fit around your existing schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Technical Challenges — Craft advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, and electromagnetics to rigorously test AI performance - Author Ground-Truth Solutions — Develop precise, step-by-step solutions and benchmark responses that AI systems use as the gold standard for learning - Audit AI Outputs — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and compliance with engineering standards (IEEE, NEC, and others) - Improve AI Reasoning — Identify logical errors and flawed assumptions in AI-generated engineering reasoning, then provide structured, actionable feedback to improve model performance - Stress-Test Model Limits — Probe AI systems on topics like embedded systems, control systems, VLSI, and simulations to expose failure modes and help harden model reasoning Who You Are - Currently pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field - Strong foundational expertise in one or more core domains — VLSI, control systems, telecommunications, power electronics, or similar - Able to communicate highly technical concepts clearly and concisely in written English - Exceptionally precise when working with mathematical equations, circuit logic, and technical documentation - Self-directed and comfortable working asynchronously on your own schedule - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, technical writing, or quality evaluation systems - Familiarity with engineering simulation tools or hardware description languages - Background in reviewing or authoring technical documentation to professional standards Why Join Us - Work on genuinely cutting-edge AI projects alongside top research labs and teams - Fully remote and async — work when and where it suits you - Gain rare behind-the-scenes exposure to how advanced large language models are trained and evaluated - Freelance perks: autonomy, variety, and global collaboration with experts across disciplines - Potential for ongoing work and contract extension based on performance
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