Your deep domain 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 expertise becomes the benchmark for AI intelligence.
Why Join Us
Work on some of the most advanced AI projects in the world alongside top research labs.
Fully remote and asynchronous — work on your own schedule with complete flexibility.
Freelance perks: autonomy, variety, and collaboration with a global expert community.
Directly influence how AI understands and applies engineering knowledge.
Potential for ongoing work and contract extension as projects grow.
Responsibilities
Design Challenging Problems — Create advanced electrical engineering problems across domains including circuit analysis, power systems, electromagnetics, signal processing, and control systems to rigorously test AI performance.
Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and "golden responses" that serve as the learning benchmark for AI models.
Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (IEEE, NEC, and others).
Improve AI Reasoning — Identify flaws in AI logic, spot reasoning gaps, and deliver structured feedback that sharpens how models approach engineering problems.
Required skills
Strong foundational expertise 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 concisely in written form.
Highly detail-oriented when reviewing equations, circuit logic, and technical documentation.
Preferred skills
Experience with data annotation, technical writing, or quality evaluation workflows.
Familiarity with engineering simulation tools or CAD software.
Background in academic or industry research.
Experience and education
Holds or is pursuing a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline.
No prior AI experience required — your engineering knowledge is what matters.
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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