Korean Language Data Contributor (Multimodal) – 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.

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

Tasks here are scoped to Languages, not generic labeling. As a Korean Language Data Contributor (Multimodal) – Freelance AI Trainer Project, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Languages) rather than following a one-size-fits-all rubric. If you don't have hands-on Languages 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 $6–$65/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. 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.