Negotiable
Undetermined
Remote
Oxford, England, United Kingdom
Summary: The role of Electrical Engineering Expert (AI Training) involves skilled electrical engineers contributing to the training and enhancement of AI models through the design of complex engineering problems and the evaluation of AI outputs. Candidates will create advanced problems, author solutions, audit AI-generated content, and improve AI reasoning in various electrical engineering domains. This position offers a fully remote and flexible work environment, allowing for significant autonomy and the opportunity to impact the future of intelligent systems.
Key Responsibilities:
- Design advanced electrical engineering problems across various domains to test AI performance.
- Write precise, step-by-step technical solutions as benchmarks for AI learning.
- Evaluate AI-generated outputs for technical accuracy and adherence to engineering standards.
- Identify logical errors in AI reasoning and provide structured feedback.
- Challenge AI on topics like embedded systems and document failure modes.
Key Skills:
- Pursuing or completed a Master's or PhD in Electrical Engineering or related field.
- Strong knowledge in core areas such as VLSI, control systems, or signal processing.
- Ability to communicate technical concepts clearly in writing.
- High attention to detail in reviewing technical documentation.
- Self-motivated and comfortable with flexible, asynchronous work.
- Experience with data annotation or AI evaluation workflows is a plus.
- Familiarity with simulation tools like MATLAB or SPICE is advantageous.
Salary (Rate): £35.00/hr
City: Oxford
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 skilled electrical engineers to help train and improve cutting-edge AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from circuit analysis to signal processing — making a real impact on the future of intelligent systems.
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 such as 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 reasoning
- Audit AI Outputs — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (e.g., IEEE, NEC)
- Improve AI Reasoning — Identify logical errors and gaps in AI-generated engineering reasoning, then provide structured feedback that helps models think more accurately
- Push Model Limits — Challenge AI on topics like embedded systems, VLSI, telecommunications, robotics, and engineering simulations — documenting failure modes to harden model reasoning
Who You Are
- Pursuing or completed 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 highly technical concepts clearly and concisely in written form
- High attention to detail when reviewing mathematical equations, circuit logic, and technical documentation
- Self-motivated and comfortable working independently on an asynchronous, flexible schedule
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality, or AI evaluation workflows
- Familiarity with simulation tools (e.g., MATLAB, SPICE, Simulink)
- Background in standards compliance or technical writing
Why Join Us
- Work on cutting-edge AI projects alongside world-leading AI research labs
- Fully remote and flexible — work on your own schedule, anywhere in the world
- Freelance perks: autonomy, variety, and global collaboration
- Gain rare, hands-on exposure to how advanced large language models are trained and evaluated
- Contribute to meaningful work that shapes how AI handles real-world engineering challenges
- Potential for ongoing work and contract extension