Electrical Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Birmingham, 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. The position is fully remote, allowing for flexible scheduling, and does not require prior AI experience. Key responsibilities include designing complex engineering problems, auditing AI outputs, and improving AI reasoning through expert feedback. Candidates should possess strong domain expertise and analytical skills, with a focus on various electrical engineering disciplines.
Key Responsibilities:
- Design advanced electrical engineering problems to rigorously test AI performance.
- Author precise, step-by-step technical solutions and benchmark responses for AI learning.
- Evaluate AI-generated outputs for technical accuracy and compliance with engineering standards.
- Identify flaws in AI logic and provide structured feedback to enhance AI reasoning.
Key Skills:
- Pursuing or holding a Master's or PhD in Electrical Engineering or a closely related field.
- Strong foundational knowledge in areas such as VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing.
- Ability to communicate complex technical concepts clearly in writing.
- Detail-oriented with a knack for catching errors in technical documentation.
- Self-motivated and comfortable working independently and asynchronously.
- No prior AI experience required.
Salary (Rate): £35.00/hr
City: Birmingham
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 the next generation of AI models. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to signal processing to control systems. This is a flexible, fully remote contract role where you set your own schedule. No prior AI experience needed — just strong domain expertise and a sharp analytical mind.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Challenging Problems — Create advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and more to rigorously test AI performance
- Build Ground-Truth Solutions — Author precise, step-by-step technical solutions and benchmark responses that guide AI learning
- Audit AI Outputs — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and compliance with engineering standards (e.g., IEEE, NEC)
- Improve AI Reasoning — Identify flaws in AI logic and provide structured, expert feedback that sharpens how the model thinks through real engineering challenges
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 areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing
- Able to communicate complex technical concepts clearly and concisely in writing
- Detail-oriented — you catch errors in equations, circuit logic, and technical documentation that others miss
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality review, or evaluation systems
- Familiarity with AI or machine learning workflows
- Background in academic or applied research
Why Join Us
- Work on meaningful projects with the world's leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the backing of a professional, collaborative team
- Gain firsthand exposure to cutting-edge large language models and how they're trained
- Potential for ongoing work and contract extension