Electrical Engineering

About the role

We're partnering with the world's leading AI research labs to build smarter, more capable AI models — and we need electrical engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on real engineering problems, expose their blind spots, and help shape how AI reasons through complex technical challenges. This is a unique opportunity to apply your deep domain expertise to one of the most impactful fields in technology today — on your own schedule, from anywhere in the world.

Organization: Alignerr, Type: Hourly Contract, Location: Remote, Commitment: 10–40 hours/week

Responsibilities

• Design Challenging Problems — Create advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to push AI to its limits
• Author Ground-Truth Solutions — Develop rigorous, step-by-step solutions and benchmark responses that AI models learn from and are evaluated against
• Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.)
• Refine AI Reasoning — Identify logical errors and flawed reasoning in AI responses, then provide structured feedback to improve how the model thinks through engineering tasks
• Work Asynchronously — Manage your own workload and schedule with full flexibility

Requirements

• 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 EE domains — VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systems
• Able to communicate complex technical concepts clearly and precisely in writing
• Detail-oriented with a sharp eye for mathematical and logical accuracy
• Self-motivated and comfortable working independently
• No prior AI experience required

Nice to Have

• Experience with data annotation, technical writing, or quality evaluation
• Familiarity with simulation tools (MATLAB, SPICE, etc.)
• Background in academic research or technical publishing

Benefits

• Work on cutting-edge AI projects alongside world-class research teams
• Fully remote and flexible — work when and where you choose
• Freelance perks: autonomy, variety, and global collaboration
• Direct exposure to how advanced large language models are built and trained
• Potential for ongoing work and contract extension