Posted 21 Sept 2026
Electrical Engineering
We're looking for electrical engineering experts to help train and improve cutting-edge AI models.
Hiring companyAlignerr
About the role
Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems to signal processing.
This is a fully remote, flexible contract role that lets you contribute to frontier AI research on your own schedule.
Why Join Us
- Work on frontier AI projects with leading research labs and teams.
- Fully remote and flexible — you set your own schedule.
- Freelance perks: autonomy, variety, and global collaboration.
- Gain rare, hands-on exposure to how advanced AI models are built and trained.
- Potential for ongoing work and contract extension.
Responsibilities
- Design challenging problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, electromagnetics, signal processing, and control systems to probe and stress-test AI reasoning.
- Author gold-standard solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation.
- Audit AI outputs — Review AI-generated code, circuit diagrams, equations, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (IEEE, NEC, etc.).
- Refine AI reasoning — Identify logical errors and flawed assumptions in AI responses, then provide structured feedback to improve the model's engineering reasoning.
- Work asynchronously — Complete tasks independently on your own schedule with no set hours or meetings.
Required skills
- 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.
- Detail-oriented — you catch errors in equations, circuit logic, and technical documentation that others miss.
Preferred skills
- Experience with data annotation, data quality review, or evaluation systems.
- Familiarity with LLMs or AI model training workflows.
- Background in engineering simulation tools or technical 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 or data annotation experience required.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible regions: Adelaide
Compensation details
$35–$60 per hour.
More about the hiring companyAlignerr

