AI/ML Data Contributor

Terry Soot Management Group; Chicago (IL); In loco; USD 21.000 - 30.000; Part-time

Vantaggi offerti da questo lavoro

Paid, flexible task-based work

Opportunity to work on innovative AI//

Exposure to cutting-edge technologies

Descrizione del lavoro

Lever, Inc. seeks AI/ML Data Contributors across the United States to support multiple active and upcoming projects. Responsibilities include data labeling, annotation, and content evaluation, with options for remote or on-site participation.

The role is flexible and task-based, offering opportunities for involvement in several projects over time, including device or VR testing where applicable.

Competenze

• 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).

Mansioni

• 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

Conoscenze

Data labeling

Attention to detail

Remote-friendly

Strumenti

Basic computer skills

Descrizione del lavoro

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.

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

Requirements

• 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)

Nice to Have

• Previous experience in data annotation, QA, or testing
• Interest in AI, machine learning, or emerging technologies

What We Offer

• 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