Data Annotator - Remote AI Model Evaluation (USA)
Listing checked September 25, 2026 · pay as published by Terac
Overview
Terac runs an ongoing paid project that produces labeled data for artificial intelligence models. You log into a remote platform, pick from a queue of annotation assignments, and work at your own pace. Tasks vary by batch: you might sort text, mark entities, or judge AI-generated responses for clarity, safety, and factual accuracy. The labeled output feeds machine learning systems, helping improve model accuracy, safety, and reasoning. Rolling availability lets you fit assignments around your schedule.
What You'll Do6
- 1Log in to the Terac platform and pull assignments from the active annotation queue.
- 2Review text, image, or media samples against the written guidelines for each batch.
- 3Assign accurate labels and categories to data sets that cover different subjects.
- 4Check AI-generated answers for clarity, safety, and factual accuracy.
- 5Set your own schedule and complete assignments at the pace you choose.
- 6Keep up with guideline changes when project parameters shift.
Requirements6
- 1Hands-on professional experience with data annotation or data labeling.
- 2A sharp eye for detail and the ability to follow complex instructions.
- 3Comfort working solo on a remote, self-paced project.
- 4Familiarity with judging AI outputs or working with machine learning datasets.
- 5Based in the United States, per the eligible countries listed.
- 6Willingness to adjust to new labeling rules as the project evolves.
Who Should Apply
The best fit is someone who has labeled data for pay, whether as a freelance annotator, QA tester, content moderator, or machine learning data specialist. You need to read long guidelines, apply them to text or media, and spot when an AI answer misses the mark on safety or facts. This role suits people who want remote, task-based work with rolling hours and no fixed shift. Candidates who need constant supervision, dislike changing instructions, or lack prior annotation experience will find the fit weaker. Common reasons candidates score low here include vague examples of past labeling work and failing to show how they handled a complex or updated guideline.
Salary Insight
Terac does not list a rate in this source. The project is paid, and compensation details come up during the application or onboarding step. Pay may vary by batch or task type, but no numbers appear in the listing.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
Pay not disclosed
Most Machine Learning & AI roles pay $55–$105 per hour.
Based on 442 similar roles that publish pay · 91 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
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Compare your resume against these rolesLocation
Compensation
Undisclosed by Terac
Comparable roles pay
442 roles$55 – $105/ hr
Not this role’s pay. Terac has not published a range.
Confirmed during Terac profile screening.
Required Skills
Application Tip
Name the annotation tools or platforms you have used and describe one project where you labeled text, images, or AI responses. Add a brief note about a time you learned a complex guideline and kept your labels consistent, because Terac asks for comfort with shifting project parameters.
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