AI/ML Data Contributor

TSMG; Miami (FL); Hybrid; USD 21,000 - 34,000; Part time

Benefits offered by this job

Flexible task-based work

Device testing exposure

VR testing exposure

Ongoing project participation

Job summary

TSMG is hiring AI/ML Data Contributors in the United States to support active and upcoming projects across multiple domains. You will perform data labeling, annotation, and content evaluation to help improve machine learning models, with opportunities for remote work and occasional on-site sessions for device or VR testing.

This flexible, task-based role lets you participate in multiple projects over time. Candidates should have strong attention to detail, reliable internet, basic computer

Qualifications

• Must be based in the United States
• Previous experience in data annotation, QA, or testing is a plus
• Interest in AI, machine learning, or emerging technologies

Responsibilities

• 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

Skills

Attention to detail

Follow instructions

Basic computer skills

Reliable internet

Schedule flexibility

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