As part of this process, we conduct thorough background checks. Please apply only if you meet these requirements — candidates who meet fewer than 70% of the stated qualifications may be flagged for misrepresenting their professional experience, which could affect eligibility for future project staffing.
Why Apply
Work directly on frontier AI research problems in your area of deep expertise.
Fully remote, flexible, asynchronous — fits around existing work.
Competitive hourly compensation ($100–$170/hr, based on experience).
Responsibilities
Design realistic technical scenarios and problem sets within your track.
Author expert-level reference solutions and grading rubrics.
Evaluate AI-generated outputs for correctness, depth, and domain judgment.
Required skills
Currently or recently active in the field — hands-on, not purely academic-adjacent.
Strong written communication — you'll be authoring technical explanations and structured feedback, not just doing the work itself.
Comfortable with independent, asynchronous, remote work.
Meets the experience and education bar described in Full Description.
Preferred skills
Prior research publication record, open-source contributions, or recognized work product in your track's domain.
Experience evaluating, reviewing, or grading others' technical work (peer review, code review, grading, editing).
Track-specific bonus signal Hardware: RTL/HDL, CAD, robotics.
Experience and education
Experience: 8–12 years.
Education: Bachelor's Degree (PE license or Master's a plus).
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.