Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — making a real impact on the next generation of intelligent systems.
This is a fully remote, flexible contract role where your expertise does the talking. If you can design a circuit, debug a control system, or derive a Fourier transform in your sleep, we want to hear from you.
Why Join Us
Work on frontier AI projects in collaboration with world-leading research labs.
Fully remote and flexible — work from anywhere, on your own schedule.
Freelance perks: autonomy, variety, and global collaboration.
Gain rare, firsthand insight into how advanced large language models are trained.
Potential for ongoing work and contract extension.
Responsibilities
Design Challenging Problems — Craft advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and embedded systems to stress-test AI reasoning.
Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as ground-truth benchmarks for AI learning.
Audit AI Outputs — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and compliance with engineering standards (e.g., IEEE, NEC).
Sharpen AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured feedback that helps models think more precisely.
Work Asynchronously — Complete tasks on your own schedule with full autonomy over your hours.
Required skills
Strong foundational expertise in one or more core areas: VLSI, control systems, power electronics, telecommunications, signal processing, or electromagnetics.
Able to communicate highly technical concepts clearly and concisely in written form.
Meticulous attention to detail when reviewing mathematical equations, circuit logic, and technical documentation.
Preferred skills
Experience with data annotation, data quality assurance, or AI evaluation workflows.
Familiarity with simulation tools (e.g., MATLAB, SPICE, Simulink).
Background in academic or professional technical writing.
Experience and education
Holds or is pursuing 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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