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Terac 
micro1
Braintrust
Sovrano AI
Winnow by Perle
Mercor
Claru AI
Handshake AI
Turing
REX / RemoExperts
AI Training · Flexible project
Data Annotators: Paid Tasks for AI Model Training
We are hiring experienced data annotators to complete flexible AI training tasks. You will evaluate diverse data sets and provide accurate labels at your own pace on an ongoing basis.
PLATFORMTerac
LOCATIONRemote · eligibility varies
PAY$40 /hr
SCHEDULEProject based
LAST CHECKED11 Nov 2026
THE OPPORTUNITY
Put your skills to work.
We are hiring experienced data annotators to complete flexible AI training tasks. You will evaluate diverse data sets and provide accurate labels at your own pace on an ongoing basis.
- Employment
- CONTRACTOR
- Valid through
- 2026-11-24
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.
Role details are copied from the Terac listing and can change. Check the platform before you apply.
Relevant skills
Data AnnotatorsPaid Tasks for AI Model TrainingRemote collaboration
A few things to check
- Location and experience requirements.
- Schedule, compensation, and assessment process.
- Current availability on Terac.
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