Electrical Engineering Expert (AI Training)
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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