Electrical Engineering - AI Data Trainer
Alignerr Birmingham, England, United Kingdom
This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$35.00/hr - $60.00/hr
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.
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