Machine Learning (ML) AI Task Auditor - Freelance AI Trainer Project

Bi-weekly, not weekly. That's a slower cadence than many task-queue platforms use, so plan your cash flow around it if you're used to weekly payouts elsewhere. The tradeoff is a more professional, enterprise-backed contracting relationship.

3 to 6 weeks, considerably longer than most AI training platforms. You'll go through a detailed application, multi-stage logic and writing assessments, a video interview (async or live), and then a formal offer letter with onboarding instructions. Meridial is the specialized AI training division of Invisible Technologies, so it runs closer to a professional hiring pipeline than a gig-app signup.

No, it's closer to academic research. Expect to write or verify complex proofs, solve advanced equations, or check the logic behind a model's step-by-step reasoning. The goal is teaching AI systems to reason deeply within your specific field.

For the top pay tiers, a PhD or current enrollment is usually expected. But the domain assessment is what decides it: if you can solve the problems, the degree becomes secondary.

Tasks here are scoped to STEM, not generic labeling. As a Machine Learning (ML) AI Task Auditor - Freelance AI Trainer Project, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.

AI Training is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.

This listing is posted at $60/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.