Electrical Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Manchester, England, United Kingdom
Summary: The role of an AI Data Trainer in Electrical Engineering involves collaborating with leading AI research labs to enhance AI models through the creation and evaluation of complex engineering problems. This fully remote position allows for flexible hours and focuses on improving AI reasoning and technical accuracy in engineering contexts. Candidates will leverage their electrical engineering expertise to develop solutions and provide feedback on AI outputs. The role offers the opportunity to work on cutting-edge technology while maintaining a flexible schedule.
Key Responsibilities:
- Design Challenging Problems — Craft advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, control systems, and electromagnetics to push AI to its limits
- Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning
- Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.)
- Refine AI Reasoning — Identify logical errors or gaps in AI-generated reasoning and provide structured feedback that helps models think more like a real engineer
Key Skills:
- Pursuing or holding 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, signal processing, or embedded systems
- Able to communicate complex technical concepts clearly and concisely in writing
- Precise and detail-oriented when reviewing equations, circuit logic, and technical documentation
- No prior AI or data annotation experience required
- Experience with data annotation, data quality assessment, or evaluation systems (nice to have)
- Familiarity with simulation tools (MATLAB, SPICE, etc.) (nice to have)
- Background in academic research or technical writing (nice to have)
Salary (Rate): £35.00/hr
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Electrical Engineering — AI Data Trainer
About The Role
We partner with the world's leading AI research labs to build smarter, more reliable AI models — and we need electrical engineers to help make it happen. As an AI Data Trainer, you'll use your technical expertise to challenge, evaluate, and improve how advanced AI systems reason through complex engineering problems. This is a fully remote, flexible contract role that lets you work on genuinely cutting-edge technology on your 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 domains like circuit analysis, power systems, signal processing, control systems, and electromagnetics to push AI to its limits
- Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning
- Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.)
- Refine AI Reasoning — Identify logical errors or gaps in AI-generated reasoning and provide structured feedback that helps models think more like a real engineer
Who You Are
- Pursuing or holding 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, signal processing, or embedded systems
- Able to communicate complex technical concepts clearly and concisely in writing
- Precise and detail-oriented when reviewing equations, circuit logic, and technical documentation
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with simulation tools (MATLAB, SPICE, etc.)
- Background in academic research or technical writing
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and teams
- Fully remote and async — work when and where it suits you
- Freelance perks: full autonomy, schedule flexibility, and global collaboration
- Meaningful work — your expertise directly shapes how AI understands engineering
- Potential for ongoing work and contract extension