Electrical Engineering
About this role
About the Role We're partnering with the world's leading AI research labs to build smarter, more capable AI models — and we need electrical engineers to make it happen. 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 unique opportunity to apply your deep domain expertise to one of the most impactful fields in technology today — on your own schedule, from anywhere in the world. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Create 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 AI models learn from and are evaluated against - Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.) - Refine AI Reasoning — Identify logical errors and flawed reasoning in AI responses, then provide structured feedback to improve how the model thinks through engineering tasks - Work Asynchronously — Manage your own workload and schedule with full flexibility Who You Are - Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field - Strong foundational knowledge in one or more core EE domains — VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systems - Able to communicate complex technical concepts clearly and precisely in writing - Detail-oriented with a sharp eye for mathematical and logical accuracy - Self-motivated and comfortable working independently - No prior AI experience required Nice to Have - Experience with data annotation, technical writing, or quality evaluation - Familiarity with simulation tools (MATLAB, SPICE, etc.) - Background in academic research or technical publishing Why Join Us - Work on cutting-edge AI projects alongside world-class research teams - Fully remote and flexible — work when and where you choose - Freelance perks: autonomy, variety, and global collaboration - Direct exposure to how advanced large language models are built and trained - Potential for ongoing work and contract extension
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