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Data Annotators: Paid Tasks for AI Model Training

Role overview

Qualifications

  • 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

Responsibilities

  • 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

Key facts

Hard skills

Other skills

  • Detail Oriented
  • Time Management
  • Adaptability

About the company

Terac logo

Terac

Job Boards & Talent Marketplaces

Terac is an AI‑native research platform that sources participants, conducts human‑like interviews at scale, analyzes results, and pays out participants - delivering actionable insights in hours, not weeks. Product teams use Terac to run voice, video, and text interviews, concept and usability tests, and to build a living research repository they can query anytime. Our in‑house participant panel, quality controls, and self‑serve workflow mean faster cycles, higher‑quality participants, and insights that move the roadmap now, not next quarter.

Company details

IndustryJob Boards & Talent Marketplaces
Company size11 - 50

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Job description

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

 

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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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