Electrical Engineering
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.
Hiring companyAlignerr
About the role
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.
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.
Responsibilities
- 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.
Required skills
- 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.
Preferred skills
- Experience with data annotation, technical evaluation, or quality assurance workflows.
- Familiarity with simulation tools (MATLAB, SPICE, etc.).
- Background in standards compliance or engineering documentation.
Experience and education
- Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
- No prior AI experience required.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible countries: Canada
Compensation details
$35–$60 per hour.
More about the hiring companyAlignerr

