Overview

Company
Workada
Location
Atlanta, Georgia, US
Employment type
Remote
Workada

Technology & IT • Atlanta, Georgia, US

QA Reviewer - AI Training Data: Remote Contract

Atlanta, Georgia, USRemotePosted 12 hours ago
RemoteTechnology & IT

About the Role

Remote | Flexible Hours | Contract | Data Labeling

Pay Rate: $17/hr (USD)

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.

What You'll Do

Evaluate outputs from AI models, text, images, video, and documents against detailed criteria. Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your judgments. Every evaluation you complete helps these systems perform better in the real world.

Who We're Looking For

People who write clearly, think critically, and can back up a judgment call with a clear explanation. This role suits people who've done work built around precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or writing technical specs and requirements.

  • Strong readers and writers with sound judgment
  • Comfortable evaluating creative or technical work against a set of criteria
  • Takes quality seriously and catches what others miss
  • Can follow detailed written guidelines independently

Qualifications

  • Bachelor's degree, completed or in progress
  • Excellent written English — clear, precise, well-organized
  • Strong attention to detail
  • At least 1 year of experience in a role built around evaluating or reviewing work against a standard e.g., UI/UX design, graphic design, photography, video production, editorial, research, QA, or technical writing. Equivalent experience will be considered.
  • Must be based in the US or Canada

Technical Requirements

  • Desktop or laptop running Windows 10 (or later) or a recent version of macOS. Chromebooks, Linux-based systems, and tablets (e.g., iPad, Surface in tablet mode) are not supported.
  • Stable, high-speed internet (minimum 25 Mbps download / 5 Mbps upload)

What We Offer

  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Some of our most reliable, high-performing contributors have grown into roles where they guide and support others, with compensation that reflects the added responsibility. These opportunities depend on performance and how the work is evolving, and we're glad to support people who are a strong fit.

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.

What You'll Do

Strong readers and writers with sound judgment
Comfortable evaluating creative or technical work against a set of criteria
Takes quality seriously and catches what others miss
Can follow detailed written guidelines independently
Bachelor's degree, completed or in progress
Excellent written English — clear, precise, well-organized

Skills & Technologies

Technology & IT

Frequently asked questions

What does a QA Reviewer - AI Training Data at Workada do?

This role evaluates AI model outputs (text, images, video and documents) against detailed criteria. You judge quality, catch errors and inconsistencies, and write a clear justification for each call.

  • Pay and format: $17 per hour (USD), fully remote, flexible hours.
  • Support: training and performance feedback.
  • Growth: reliable, high-performing contributors can move into roles guiding others, with pay that reflects the added responsibility.
Who qualifies for the Workada QA Reviewer - AI Training Data role?

You need to live in the US or Canada and have:

  • A bachelor's degree, completed or in progress
  • Excellent written English
  • Strong attention to detail
  • At least one year in a role built around reviewing work against a standard, such as UI/UX design, graphic design, photography, video production, editorial work, research, QA or technical writing. Equivalent experience is considered.
What computer and internet do I need for the Workada QA Reviewer - AI Training Data role?
  • Computer: a desktop or laptop running Windows 10 or later, or a recent version of macOS. Chromebooks, Linux computers and tablets (including iPad and Surface in tablet mode) aren't supported.
  • Internet: a stable connection of at least 25 Mbps download and 5 Mbps upload.