Your technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems to signal processing.
This is a fully remote, flexible contract role where your domain expertise has real impact on the future of AI.
Why Join Us
Work on genuinely cutting-edge AI projects alongside top research labs.
Fully remote and asynchronous — work when and where it suits you.
Freelance flexibility with autonomy over your schedule.
Contribute to meaningful work that advances AI reasoning in STEM fields.
Potential for ongoing work and contract extension.
Responsibilities
Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI capabilities.
Author Gold-Standard Solutions — Develop precise, step-by-step technical solutions that serve as benchmark responses for AI model training.
Audit AI Outputs — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (IEEE, NEC, and others).
Improve AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured feedback to strengthen model performance.
Work Asynchronously — Complete assignments on your own schedule with full flexibility.
Required skills
Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing.
Able to communicate complex technical concepts clearly and precisely in writing.
High attention to detail when reviewing mathematical equations, circuit logic, and technical documentation.
Preferred skills
Experience with data annotation, data quality review, or evaluation workflows.
Familiarity with simulation tools (MATLAB, SPICE, etc.).
Background in applied or research engineering roles.
Experience and education
Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
No prior AI or data annotation experience required.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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