Electrical Engineering —
AI Data Trainer
About The Role
We're partnering with the world's leading AI research labs to build smarter, more reliable AI systems — and we need electrical engineers to help us get there. As an AI Data Trainer, you'll use your domain expertise to challenge, evaluate, and refine advanced AI models on complex engineering problems. Your work will directly shape how AI thinks about circuits, signals, power systems, and beyond.
This is a fully remote, flexible contract role designed to fit around your existing commitments.
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 domains including circuit analysis, power systems, signal processing, control systems, and electromagnetics to rigorously test AI performance
Author Ground-Truth Solutions —
Develop precise, step-by-step technical solutions and "golden responses" that serve as benchmarks for AI learning
Audit Technical Accuracy —
Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC)
Refine AI Reasoning —
Identify logical gaps and errors in AI reasoning, then provide structured, actionable feedback to improve how models approach engineering tasks
Document Failure Modes —
Record and categorize model weaknesses across embedded systems, signal processing, robotics, and engineering simulations
Who You Are
Holds or is pursuing 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, or signal processing
Able to communicate complex technical concepts clearly and concisely in writing
High attention to detail — comfortable working with mathematical equations, circuit logic, and technical documentation
Self-motivated and reliable in an independent, asynchronous work environment
No prior AI experience required
Nice to Have
Experience with data annotation, data quality assessment, or evaluation systems
Familiarity with AI or machine learning workflows
Background in academic research or technical writing
Why Join Us
Work on cutting-edge AI projects alongside top research labs
Fully remote and flexible — work on your own schedule, from anywhere
Freelance perks: autonomy, variety, and global collaboration
Gain firsthand exposure to advanced large language models and how they're trained
Meaningful work that pushes the frontier of AI reasoning in STEM fields
Potential for ongoing work and contract extension