Electrical Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Electrical Engineering AI Trainer role involves collaborating with leading AI research labs to enhance AI systems through the creation and evaluation of advanced electrical engineering problems. The position is fully remote and offers flexible hours, allowing engineers to contribute meaningfully while managing their own schedules. Candidates will leverage their expertise in electrical engineering to audit AI outputs and improve model performance. This role is suitable for those with a strong technical background in electrical engineering, regardless of prior AI experience.
Key Responsibilities:
- Create advanced electrical engineering problems across various domains to test AI performance.
- Write precise, step-by-step technical solutions that serve as benchmarks for AI learning.
- Review AI-generated outputs for correctness, safety, and adherence to engineering standards.
- Identify logical gaps and reasoning errors in AI responses and provide actionable feedback.
- Manage workload asynchronously, contributing on a schedule that fits personal life.
Key Skills:
- Master's or PhD in Electrical Engineering, Electronic Engineering, or a related field.
- Strong foundational knowledge in VLSI, control systems, telecommunications, power electronics, or signal processing.
- Ability to communicate complex technical concepts clearly in writing.
- Detail-oriented with high precision in reviewing technical documentation.
- Self-motivated and comfortable working independently.
- Experience with data annotation, technical writing, or quality evaluation systems is a plus.
- Familiarity with LLMs or AI model evaluation workflows is advantageous.
- Hands-on experience with simulation tools like MATLAB, SPICE, or Simulink is beneficial.
Salary (Rate): £60.00 hourly
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Electrical Engineering AI Trainer
About The Role
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI systems — and we need electrical engineers to help make it happen. As an Electrical Engineering AI Trainer, you'll use your domain expertise to challenge, evaluate, and improve advanced language models on topics spanning circuit analysis, power systems, signal processing, embedded systems, and more. This is a fully remote, flexible contract role designed for engineers who want to do meaningful, intellectually engaging work on their 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, signal processing, electromagnetics, and control systems to rigorously test AI performance
- Author Gold-Standard Solutions — Write precise, 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)
- Improve AI Reasoning — Identify logical gaps and reasoning errors in AI responses, then provide structured, actionable feedback to improve model performance
- Work Independently — Manage your own workload asynchronously, contributing on a schedule that fits your life
Who You Are
- Holds or is pursuing a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
- Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, or signal processing
- Able to communicate complex technical concepts clearly and concisely in writing
- Detail-oriented with high precision when reviewing equations, circuit logic, and technical documentation
- Self-motivated and comfortable working independently
- No prior AI experience required
Nice to Have
- Experience with data annotation, technical writing, or quality evaluation systems
- Familiarity with LLMs or AI model evaluation workflows
- Hands-on experience with simulation tools (e.g., MATLAB, SPICE, Simulink)
Why Join Us
- Work on genuinely cutting-edge AI projects alongside top research labs
- Fully remote and flexible — set your own hours and work from anywhere
- Gain rare, behind-the-scenes exposure to how advanced AI models are trained and evaluated
- Freelance perks: autonomy, variety, and global collaboration
- Meaningful work that directly shapes how AI understands engineering
- Potential for ongoing work and contract extension