AI/ML Data Annotator — Flexible, Paid Task-Based Work

TSMG Holding; Los Angeles (CA); Hybrid; USD 21,000 - 34,000; Part time

Benefits offered by this job

Flexible tasks

Remote and on-site options

Exposure to AI/ML projects

VR/Device testing experience

Job summary

TSMG Holding in the United States is seeking AI/ML Data Contributors to support a range of active and upcoming projects. You will perform data labeling, content evaluation, and user-based testing to help improve machine learning models, with opportunities for remote or on-site work.

This flexible, task-based role offers exposure to cutting-edge AI technologies, device and VR testing, and the chance to participate in multiple projects over time.

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.
• Availability to participate in task-based work (schedule may vary).
• Experience with data labeling, QA, or testing is a plus.

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

Data labeling

Content evaluation

Remote work readiness

Digital tools familiarity

Tools

Data labeling tools

Annotation tools

Job description

TSMG Holding in the United States is seeking AI/ML Data Contributors to support a range of active and upcoming projects. You will perform data labeling, content evaluation, and user-based testing to help improve machine learning models, with opportunities for remote or on-site work.

This flexible, task-based role offers exposure to cutting-edge AI technologies, device and VR testing, and the chance to participate in multiple projects over time.