Electrical Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Oxford, England, United Kingdom
Summary: The role of Electrical Engineering — AI Data Trainer involves collaborating with advanced AI models to create and evaluate complex electrical engineering problems. Candidates will leverage their expertise in areas such as circuit analysis and signal processing to enhance AI reasoning and provide technical solutions. This position offers the flexibility of remote work and the opportunity to contribute to innovative AI development. Ideal for those with a strong background in electrical engineering, it allows for a self-directed schedule and engagement with cutting-edge technology.
Key Responsibilities:
- Design challenging electrical engineering problems across various domains.
- Author gold-standard solutions for AI learning and evaluation.
- Audit technical accuracy of AI-generated outputs.
- Improve AI reasoning by identifying flaws and providing feedback.
- Document edge cases and failure modes in engineering scenarios.
Key Skills:
- Master's or PhD in Electrical Engineering or related field.
- Strong knowledge in VLSI, control systems, telecommunications, power electronics, or signal processing.
- Ability to communicate technical concepts clearly in writing.
- Detail-oriented with a focus on accuracy in technical documentation.
- Self-directed and comfortable working asynchronously.
- Experience with data annotation or evaluation systems 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 — AI Data Trainer
About The Role
We're looking for electrical engineers to help train and evaluate some of the world's most advanced AI models. Your domain expertise will directly shape how AI reasons through complex engineering problems — from circuit analysis to signal processing to power systems. This is a rare opportunity to contribute to the frontier of AI development without leaving your home. Work on your own schedule, apply your technical knowledge in a new and impactful way, and help build the AI tools that engineers will rely on in the future.
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 stress-test AI reasoning
- Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit Technical Accuracy — Review AI-generated circuit diagrams, mathematical proofs, and code for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC)
- Improve AI Reasoning — Identify flaws in AI logic and provide structured feedback that helps models think more clearly through real engineering scenarios
- Document Edge Cases — Surface failure modes and edge cases across embedded systems, robotics, telecoms, and simulation domains
Who You Are
- Currently 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, or signal processing
- Able to communicate highly technical concepts clearly and precisely in writing
- Detail-oriented when reviewing equations, circuit logic, and technical documentation
- Self-directed and comfortable working asynchronously
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality, or evaluation systems
- Familiarity with simulation tools (e.g., MATLAB, SPICE, LabVIEW)
- Background in academic research or technical writing
Why Join Us
- Work on cutting-edge AI projects in partnership with world-leading research labs
- Fully remote and flexible — set your own hours and workload (10–40 hrs/week)
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Get rare, hands-on exposure to how large language models are trained and evaluated
- Potential for ongoing work and contract extension