Electrical Engineering

Electrical Engineering — AI Data Trainer

We partner with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need electrical engineers to make it happen. Your deep domain knowledge will directly shape how AI reasons through complex engineering problems, from circuit analysis to embedded systems.

This is a fully remote, flexible contract role designed to fit around your existing schedule. Whether you're a graduate student, a working engineer, or a recent grad, your expertise has real value here.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Design Challenging Problems — Create advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously stress-test AI performance.
• Author Ground‑Truth Solutions — Write precise, step‑by‑step technical solutions that serve as the gold standard for AI learning and benchmarking.
• Audit Technical Accuracy — Evaluate AI‑generated code, circuit diagrams, and mathematical proofs against real engineering standards (IEEE, NEC, and others).
• Improve AI Reasoning — Identify logical gaps or flawed assumptions in AI‑generated responses and provide structured feedback to improve model thinking.
• Document Failure Modes — Record how and where AI models fall short so research teams can strengthen their reasoning at the core.

• 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 domains: VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systems.
• Able to communicate complex technical concepts clearly and concisely in writing.
• High attention to detail when working with mathematical equations, circuit logic, and technical documentation.
• Self-motivated and comfortable working independently and asynchronously.
• No prior AI or data annotation experience required.

• Experience with data annotation, technical writing, or quality evaluation.
• Familiarity with simulation tools (MATLAB, SPICE, etc.).
• Background in engineering standards compliance or technical documentation.

• Work on genuinely cutting-edge AI projects alongside top research labs.
• Fully remote and flexible — work on your own schedule, from anywhere.
• Freelance autonomy with meaningful, intellectually stimulating work.
• Gain rare behind-the-scenes exposure to how advanced AI models are trained and evaluated.
• Potential for ongoing work and contract extension as new projects launch.