Electrical Engineering
About this role
About the Role We're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need electrical engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on complex engineering problems, author gold-standard solutions, and help shape how AI reasons through real-world technical challenges. This is a fully remote, flexible contract role designed for engineers who want to do meaningful, intellectually stimulating 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 spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to push AI to its limits - Author Ground-Truth Solutions — Develop rigorous, step-by-step solutions and benchmark responses that serve as the gold standard for AI learning - Audit Technical Accuracy — Review and evaluate AI-generated code, circuit diagrams, and mathematical proofs against engineering standards (e.g., IEEE, NEC) - Improve AI Reasoning — Identify logical errors and gaps in AI-generated responses, then provide structured feedback to strengthen model performance - Document Failure Modes — Systematically record where and how AI reasoning breaks down across topics like embedded systems, VLSI, robotics, and engineering simulations Who You Are - Currently pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline - Strong foundational knowledge in one or more core EE domains — VLSI, control systems, telecommunications, signal processing, or power electronics - Able to communicate highly technical concepts clearly and concisely in written form - Detail-oriented with a sharp eye for mathematical precision, circuit logic, and technical documentation - Self-motivated and comfortable working independently in an async remote environment - No prior AI experience required Nice to Have - Experience with data annotation, technical evaluation, or quality assurance workflows - Familiarity with LLMs or AI model training processes - Background in research, academic writing, or technical documentation Why Join Us - Work on genuinely cutting-edge AI projects alongside top research labs - Fully remote and async — work when and where it suits you - Freelance flexibility with the potential for ongoing contract extensions - Engage deeply with your domain expertise in a way that creates real, lasting impact - Collaborate with a global network of subject-matter experts and AI researchers
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