Electrical Engineering

Electrical Engineering — AI Data Trainer About The Role We partner with the world's leading AI research labs to build smarter, more capable AI systems — and we need electrical engineers to help get there. 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 fully remote, flexible contract role designed for engineers who want to do meaningful 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 across circuit analysis, power systems, signal processing, electromagnetics, and more to push AI to its limits Author Ground-Truth Solutions — Develop rigorous, step-by-step solutions and benchmark responses that AI models use to learn correct engineering reasoning Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.) Improve AI Reasoning — Identify flawed logic in AI outputs and provide structured, expert feedback that directly improves how models think through engineering problems Document Failure Modes — Systematically record where and how AI reasoning breaks down so research teams can address gaps Who You Are Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field Strong domain knowledge in one or more of: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing Able to communicate complex technical concepts clearly and precisely in writing Highly detail-oriented when reviewing equations, circuit logic, and technical documentation Self-directed and comfortable working asynchronously No prior AI experience required Nice to Have Experience with data annotation, technical evaluation, or quality assurance workflows Familiarity with simulation tools (MATLAB, SPICE, etc.) Background in standards compliance or engineering documentation Why Join Us Work on cutting-edge AI projects with top-tier research labs Fully remote and flexible — work when and how much you want Contribute directly to how AI understands and applies electrical engineering Freelance perks: autonomy, variety, and global collaboration Potential for ongoing work and contract extension

As an AI Data Trainer, you will design challenging electrical engineering problems and author ground-truth solutions to help AI systems learn. You will also audit technical accuracy and improve AI reasoning by providing expert feedback.

Candidates should be pursuing or holding a Master's or PhD in Electrical Engineering or a related field, with strong domain knowledge in various engineering disciplines. Clear communication of complex technical concepts and a detail-oriented approach are essential.

Identified from the job description. Confirm important requirements above.

• Electrical Engineering
• Circuit Analysis
• Power Systems
• Signal Processing
• Electromagnetics
• VLSI
• Control Systems
• Telecommunications
• Power Electronics
• Embedded Systems
• Technical Documentation
• Data Annotation
• Quality Assurance
• MATLAB
• SPICE

Minimum education

Other education

Minimum experience

0+ years