Remote & Flexible AI/ML Data Contributor (Paid Projects)

Lever, Inc.; Jackson (MS); Hybrid; USD 19,000 - 25,000; Full time

Benefits offered by this job

Paid, flexible task-based work

AI/ML project exposure

Device/VR testing opportunities

Ongoing project participation

Job summary

Lever, Inc. is hiring AI/ML Data Contributors in the United States for data labeling, annotation, and content evaluation on multiple projects. The role offers flexibility with remote and on-site opportunities, including device or VR testing, and the chance to participate in several projects over time.

Ideal candidates will have strong attention to detail, basic computer skills, and reliable internet access. Schedule may vary, and prior experience in data annotation or QA is a plus.

Qualifications

• Must be based in the United States and able to participate in task-based work.
• 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).

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

Data labeling

Annotation

Content evaluation

Testing

Attention to detail

Tools

Digital tools

Computer basics

Internet access

Job description

Lever, Inc. is hiring AI/ML Data Contributors in the United States for data labeling, annotation, and content evaluation on multiple projects. The role offers flexibility with remote and on-site opportunities, including device or VR testing, and the chance to participate in several projects over time.

Ideal candidates will have strong attention to detail, basic computer skills, and reliable internet access. Schedule may vary, and prior experience in data annotation or QA is a plus.