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Data Annotators: Paid Tasks for AI Model Training

Listed on Terac as “Data Annotators: Paid Tasks for AI Model Training”

$40/hrRemoteContractPaid in USD
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How this rate compares

This listing

$40 per hour

Typical in General projects

$55–$70 per hour

Below the typical range

Typical: the middle of the lowest and highest rates posted by 119 listings in this category on Seoulstart, in US dollars.

What this actually is

You complete short labeling tasks, record everyday activities, or evaluate AI outputs across general knowledge domains. Open to most backgrounds. The platform title (Data Annotators: Paid Tasks for AI Model Training) reflects the rate band and the expertise required, not the day-to-day work.

Can you do this on your visa?

F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.

Korean tax on USD income

First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.

Original posting from Terac

Work location: Remote

What We're Researching

We are running a paid project focused on generating high-quality labeled data for artificial intelligence models. This ongoing initiative helps refine machine learning systems across a variety of formats and subject matters. Your work directly contributes to improving model accuracy, safety, and reasoning capabilities.

How It Works

You will log into our remote platform to access a queue of diverse annotation assignments. Depending on the current batch, you might categorize text, highlight specific entities, or evaluate AI-generated responses for quality. You will work through these assignments independently and at your own pace. The project features rolling availability, allowing you to seamlessly fit the work around your existing schedule.

Who This Is For

We are looking for detail-oriented individuals with prior experience in data annotation, data labeling, or AI model evaluation. We welcome freelance labelers, QA testers, content moderators, and machine learning data specialists. You must be comfortable working independently and adapting to new labeling guidelines as project parameters evolve.

Quoted from Terac's public listing on 2026-11-13. We don't edit platform copy; honest framing is in the title and the “what this actually is” block above.

More on this platform

About Terac

Pays experts and everyday users for AI evaluation, model review, transcription, voice recording and data annotation projects, plus paid research studies. Each opportunity lists its hourly rate and who it is looking for. Fully online.

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