AI/ML Data Contributor

TSMG

Cheyenne (WY)

Hybrid

USD 17,000 - 34,000

Part time

14 days+
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Benefits offered by this job

Flexible tasks
Remote & on-site work
Exposure to AI/ML tech
Ongoing opportunities

Job summary

TSMG is seeking AI/ML Data Contributors in the United States for data labeling, annotation, and content evaluation across multiple projects. You may work remotely or onsite for selected sessions, with a flexible, task-based schedule.

Ideal candidates have data annotation or QA/testing experience, strong attention to detail, and a keen interest in AI/ML technologies. Reliable internet and basic computer skills are essential.

Qualifications

  • Based in the United States.
  • Previous experience in data annotation, QA, or testing.
  • Interest in AI, machine learning, or emerging technologies.
  • Availability for task-based work with variable schedule.

Responsibilities

  • Perform AI/ML data labeling, annotation, and content evaluation.
  • Participate in remote assignments or attend on-site sessions when required.
  • Follow project guidelines and ensure high-quality task completion.
  • Provide feedback during testing activities.
  • Complete tasks within given timelines.

Skills

Attention to detail
Basic computer skills
Reliable internet
Follow instructions

Tools

Data labeling tools

Job description

Project Overview

We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
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