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Terac

Data Annotators: Paid Tasks for AI Model Training

Remote — US$40/hrPosted yesterday

Immigration summary

Visa sponsorship

UnclearInsufficient evidence

We didn't find recent H-1B sponsorship history for this employer.

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Green card sponsorship

UnknownNo recent PERM history

We didn't find recent certified PERM filings for this employer.

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Job description

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.

What You'll Do

  • Review text or media samples based on provided project guidelines

  • Apply accurate labels and categorizations to diverse data sets

  • Evaluate AI-generated responses for clarity, safety, and factual accuracy

  • Manage your own time to complete assignments at your preferred pace

Who Should Apply

  • Prior professional experience with data annotation or labeling

  • Strong attention to detail and ability to follow complex guidelines

  • Comfortable working independently on a remote basis

  • Familiarity with evaluating AI outputs or machine learning datasets

Compensation

$40 per hour

Ready to participate?

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About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac.

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Employer H-1B history

No recent H-1B filings on record

This employer's identity is verified, and no certified H-1B filing was found for it in the fiscal years held.

Green card sponsorship evidence

Employer PERM history

No recent PERM filings on record

This employer's identity is verified, and no certified PERM case was found for it in FY2023, FY2024, FY2025.

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Terac
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.