Negotiable
Undetermined
Remote
Cambridge, England, United Kingdom
Summary: The role of Electrical Engineering Expert (AI Training) involves leveraging deep technical knowledge in electrical engineering to train and enhance AI models. Responsibilities include designing complex engineering problems, authoring solutions, auditing AI outputs for accuracy, and providing feedback to improve AI reasoning. This is a fully remote, flexible contract position allowing for a commitment of 10–40 hours per week. Candidates should possess advanced degrees in electrical engineering or related fields and have strong foundational knowledge in core EE domains.
Key Responsibilities:
- Create advanced electrical engineering problems across various domains to test AI performance.
- Write detailed, step-by-step technical solutions for AI learning and evaluation.
- Review AI-generated outputs for correctness and adherence to engineering standards.
- Identify logical gaps in AI reasoning and provide structured feedback for improvement.
Key Skills:
- Pursuing or holding a Master's or PhD in Electrical Engineering or related field.
- Strong foundational knowledge in core EE domains such as VLSI, control systems, or power electronics.
- Ability to communicate complex technical concepts clearly in writing.
- Meticulous attention to detail in reviewing technical documentation.
- No prior AI or data annotation experience required.
- Experience with data annotation or AI evaluation systems is a plus.
- Familiarity with embedded systems or engineering simulation tools is advantageous.
- Background in technical writing or academic publishing is beneficial.
Salary (Rate): £35.00/hr
City: Cambridge
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Electrical Engineering Expert (AI Training)
About The Role
We're looking for electrical engineering experts to help train and improve cutting-edge AI models. 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.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, electromagnetics, signal processing, and control systems to rigorously test AI performance
- Author Ground-Truth Solutions — Write detailed, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC)
- Sharpen AI Reasoning — Identify logical gaps or errors in AI-generated engineering reasoning and provide structured feedback to improve model performance
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, or similar
- Able to communicate complex technical concepts clearly and precisely in writing
- Meticulous attention to detail 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 workflows, or AI evaluation systems
- Familiarity with embedded systems, robotics, or engineering simulation tools
- Background in technical writing or academic publishing
Why Join Us
- Work on some of the most advanced AI models being developed today
- Fully remote and asynchronous — work when and where it suits you
- Freelance perks: autonomy, flexibility, and collaboration with a global expert community
- Meaningful work that directly influences how AI handles real-world engineering knowledge
- Potential for ongoing work and contract extension