Electrical Engineering - AI Data Trainer
Posted 1 week ago by Alignerr
Negotiable
Undetermined
Remote
Birmingham, England, United Kingdom
Summary: The Electrical Engineering - AI Data Trainer at Alignerr involves developing complex electrical engineering problems to test AI performance, authoring ground-truth solutions, and conducting technical audits of AI-generated outputs. The role requires a strong foundation in electrical engineering and analytical writing skills to refine AI reasoning. This position is remote and offers flexible hours, with a focus on collaboration with leading AI research teams. Candidates should possess an advanced degree in a relevant field and demonstrate attention to detail in technical documentation.
Key Responsibilities:
- Develop complex electrical engineering problems across various domains to test AI performance.
- Author rigorous, step-by-step technical solutions and "golden responses" for AI learning benchmarks.
- Evaluate AI-generated code, circuit diagrams, and mathematical proofs for accuracy and adherence to standards.
- Identify logical fallacies in AI reasoning and provide structured feedback for improvement.
Key Skills:
- Advanced Degree: Masters (pursuing or completed) or PhD in Electrical Engineering or related field.
- Domain Expertise: Knowledge in VLSI, control systems, telecommunications, or power electronics.
- Analytical Writing: Ability to communicate technical concepts clearly in writing.
- Attention to Detail: Precision in checking mathematical equations and technical documentation.
- No AI experience required.
- Preferred: Prior experience with data annotation or evaluation systems.
Salary (Rate): £60.00/hour
City: Birmingham
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. You’ll challenge advanced language models on topics like embedded systems, signal processing, control systems and robotics, and engineering simulations—documenting every failure mode so we can harden model reasoning.
Organization : Alignerr
Position : Electrical Engineering - AI Data Trainer
Type : Hourly Contract
Compensation : $35–$60 /hour
Location : Remote
Commitment : 10–40 hours/week
What You’ll Do
- Develop Complex Problems: Design advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, and electromagnetics to test AI performance.
- Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions and "golden responses" that the AI will use as a benchmark for learning.
- Technical Auditing: Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (e.g., IEEE, NEC).
- Refine Reasoning: Identify logical fallacies in AI reasoning and provide structured feedback to help the model improve its "thinking" process for engineering tasks.
Requirements
- Advanced Degree: Masters (pursuing or completed) or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
- Domain Expertise: Strong foundational knowledge in core areas such as VLSI, control systems, telecommunications, or power electronics.
- Analytical Writing: The ability to communicate highly technical concepts clearly and concisely in written form.
- Attention to Detail: High level of precision when checking mathematical equations, circuit logic, and technical documentation.
- No AI experience required
Preferred
- Prior experience with data annotation, data quality, or evaluation systems
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.