Data Annotators: Paid Tasks for AI Model Training

Company shown to members 🔒 · Remote · US only

US onlyExperience not stated$40/hrPublished 19 October 2026Looks fresh

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Experience not stated
Where you can live
US only
Skills and tools
machine learning, qa
Job type
Contract or freelance

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Job details

Where you can work
United States
Employment type
Contract
Advertised pay
$40/hr
Experience
Experience not stated
Employer publication date
19 October 2026
First recorded by Psst
12 October 2026
Last checked at the source
11 November 2026

About the job

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?

Start your paid interview now [link for members]

ABOUT the company

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

Learn more at the company [link for members] or on YouTube at @jointerac [link for members]

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