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Data Annotators: Paid Tasks for AI Model Training

Terac

This ongoing initiative helps refine machine learning systems across a variety of formats and subject matters.

Work arrangement & location
Remote

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Employer description and requirements

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

Contract & Payment Terms

You will be engaged as an independent contractor.

This is a fully remote opportunity that can be completed on your own schedule.

Opportunities can be extended, shortened, or concluded early depending on needs and performance.

Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.

Payments are processed weekly based on services rendered.

We are unable to support H1-B or STEM OPT candidates at this time.

Posted by Terac

terac.com