Data Annotators: Paid Tasks for AI Model Training
TeracCodingFirst seen 9 Oct 2026
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- Where
- United States
- Language
- English
- Type
- Contract, remote
- Field
- Coding
Posted on Terac First seen 9 Oct 2026Checked 12 Oct 2026
From the Terac listing
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?
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.
Text above is the platform's own listing, shown as published. Check the details on Terac before applying.
Prepare for the assessment
Practice questions and what each platform says about its screening for this kind of role:
Terms in this listing
- Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
- Labeling: Assigning a category or tag to an item, for example marking a review as positive or negative. Often used as a synonym for annotation.
- Model evaluation: Testing how well a model performs on a set of tasks, often by people scoring answers against a rubric.
- Guidelines: The project's written instructions that define how to do a task and how to judge answers. On most projects they take precedence over personal preference.
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