Electrical Engineering - AI Data Trainer
Alignerr, Cambridge, England, United Kingdom
$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 such as embedded systems, signal processing, control systems, robotics, and engineering simulations, documenting every failure mode to harden model reasoning.
Responsibilities
* 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.
* Conduct 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 or PhD) in Electrical Engineering, Electronic Engineering, or a closely related field.
* Domain expertise in areas such as VLSI, control systems, telecommunications, or power electronics.
* Strong analytical writing skills – ability to communicate highly technical concepts clearly and concisely in written form.
* Attention to detail: high precision when checking mathematical equations, circuit logic, and technical documentation.
* No prior AI experience required.
Preferred
* Prior experience with data annotation, data quality, or evaluation systems.
Benefits
* Competitive pay and flexible remote work.
* Opportunity to collaborate with a team on cutting‑edge AI projects.
* Exposure to advanced LLMs and their training processes.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.
Application Process
1. Submit your resume.
2. Complete a short screening.
3. Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#J-18808-Ljbffr