AI/ML Data Contributor

TSMG; Louisville (KY); Hybrid; USD 21,000 - 30,000; Full time

Benefits offered by this job

Paid tasks

Flexible schedule

Exposure to AI/ML projects

Job summary

TSMG is seeking AI/ML Data Contributors to support a range of projects across the United States. You will contribute to data labeling, content evaluation, and user-based testing, with opportunities for remote work or on-site sessions as needed.

This flexible, task-based role emphasizes attention to detail and the ability to follow guidelines, while offering exposure to cutting-edge AI/ML projects and a varied workload across multiple assignments.

Qualifications

• 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.

Responsibilities

• Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation.
• Follow project guidelines and ensure high-quality task completion.
• Provide feedback and input during testing activities.
• Complete tasks within given timelines.
• Attend on-site sessions when required.

Skills

Attention to detail

Basic computer skills

Remote work readiness

Dependable availability

Tools

Data labeling tools

QA/testing 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