Electrical Engineering
About this role
About the Role We're looking for electrical engineering professionals to help train and evaluate cutting-edge AI models. Your domain expertise will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems and beyond. This is a fully remote, flexible contract role where your technical knowledge makes a real impact on the future of AI. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Engineering Problems — Create advanced, domain-specific problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance - Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that guide AI learning - Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards such as IEEE and NEC - Refine AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured, actionable feedback to improve model performance - Stress-Test AI Knowledge — Challenge advanced language models across embedded systems, signal processing, robotics, and engineering simulations, documenting failure modes to harden model reasoning Who You Are - 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 areas: VLSI, control systems, telecommunications, power electronics, or signal processing - Able to communicate highly technical concepts clearly and concisely in written form - Detail-oriented — precise and methodical when reviewing mathematical equations, circuit logic, and technical documentation - Self-motivated and comfortable working independently on an asynchronous, flexible schedule - No prior AI experience required Nice to Have - Experience with data annotation, data quality assessment, or evaluation systems - Familiarity with AI or machine learning workflows - Background in academic or applied engineering research Why Join Us - Work on some of the most advanced AI projects in the world alongside top research labs - Fully remote and flexible — set your own hours and workload - Freelance perks: autonomy, variety, and global collaboration - Direct, meaningful impact on how AI understands engineering - Potential for ongoing work and contract extension
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