Electrical Engineering

Electrical Engineering — AI Data TrainerAbout The RoleWe partner with the world's leading AI research labs to build smarter, more reliable AI models — and we need electrical engineers to help make it happen. As an AI Data Trainer, you'll use your deep domain expertise to challenge, evaluate, and improve advanced language models on technical electrical engineering content.This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — shaping how the next generation of AI reasons through complex technical problems.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign Complex Engineering Problems — Create challenging, domain-specific problems across circuit analysis, power systems, signal processing, electromagnetics, and more to rigorously test AI performanceAuthor Ground-Truth Solutions — Develop precise, step-by-step solutions and benchmark responses that AI models use as a reference for learning correct reasoningAudit Technical Accuracy — Review and evaluate AI-generated code, circuit diagrams, and mathematical derivations for correctness, safety, and alignment with engineering standards (IEEE, NEC, etc.)Improve AI Reasoning — Identify flaws in AI logic and provide structured, expert feedback to help models think more like an engineerWho You AreCurrently pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related disciplineStrong foundational knowledge in one or more core domains: VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systemsAble to communicate complex technical concepts clearly and precisely in written formDetail-oriented — you catch errors in equations, circuit logic, and technical documentation that others missSelf-directed and comfortable working asynchronously on your own scheduleNo prior AI or data annotation experience requiredNice to HaveExperience with data annotation, quality evaluation, or technical writingFamiliarity with simulation tools (MATLAB, SPICE, etc.)Background in multiple EE subfieldsWhy Join UsWork on genuinely cutting-edge AI projects alongside top research labs and teamsFully remote and flexible — work when and how much you want, between 10–40 hours per weekFreelance autonomy with the backing of a global, collaborative teamGain rare, behind-the-scenes exposure to how advanced large language models are trained and evaluatedPotential for ongoing work and contract extension based on performance