Electrical Engineering —
AI Data Trainer
About The Role
We partner with the world's leading AI research labs to train and improve the next generation of AI models — and we need expert electrical engineers to help us get there.
As an Electrical Engineering AI Trainer, you'll use your deep technical knowledge to challenge, evaluate, and refine how advanced AI systems reason through complex engineering problems. From circuit analysis to signal processing, your expertise will directly shape the quality and reliability of AI in STEM domains.
This is a fully remote, flexible contract role — work on your own schedule, from anywhere.
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 like circuit analysis, power systems, signal processing, electromagnetics, and control systems to stress-test AI performance
Author Gold-Standard Solutions —
Write rigorous, step-by-step technical solutions and benchmark responses that AI models use as learning targets
Audit Technical Accuracy —
Evaluate AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (IEEE, NEC, etc.)
Refine AI Reasoning —
Identify flaws in AI logic and provide structured, actionable feedback to improve how models approach engineering problems
Document Failure Modes —
Record where and how AI reasoning breaks down so research teams can systematically harden model performance
Who You Are
Holds or is pursuing a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
Strong foundational expertise in one or more core areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing
Able to communicate complex technical concepts clearly and precisely in writing
High attention to detail — comfortable scrutinising mathematical equations, circuit logic, and technical documentation
Self-directed and reliable when working independently on task-based assignments
No prior AI experience required
Nice to Have
Experience with data annotation, technical writing, or quality evaluation workflows
Familiarity with simulation tools (MATLAB, SPICE, etc.)
Background in academic research or engineering standards bodies
Why Join Us
Work on genuinely cutting-edge AI projects alongside top research labs
Fully remote and async — work when and where it suits you
Freelance autonomy with collaborative, global teamwork
Meaningful impact: your engineering knowledge directly improves how AI handles technical reasoning
Potential for ongoing work and contract extension