Remote AI Data Annotator (Entry-Level) – Learn & Grow

Motion Ventures; United States; Remote; USD 21,000 - 30,000; Full time

Benefits offered by this job

Health benefits

Remote work

Structured onboarding

Job summary

Expedock is seeking an Entry-Level AI Data Annotator to perform image segmentation and labeling across diverse datasets. Ideal for someone curious about AI and computer vision, with structured guidelines and remote collaboration with a distributed team.

The role emphasizes attention to detail, steady daily productivity, and willingness to learn new annotation tools. You will work with polygon, bounding box, and semantic labeling tasks while adhering to QA standards.

Qualifications

• Good attention to detail and a careful eye for visual accuracy.
• Basic computer skills. Experience with annotation tools (Labelbox, CVAT, Supervisely) is a plus but not required.
• Willingness to learn and follow structured guidelines.
• Clear communication skills for asking questions or reporting issues.
• Comfortable working in a remote or team-based setup with productivity tracking.

Responsibilities

• Perform basic image segmentation and object labeling following clear instructions, including polygons, bounding boxes, and semantic segmentation.
• Work with datasets such as roads, vehicles, curbs, lane markings, and satellite imagery.
• Ensure accuracy by following simple QA checks and guidelines.
• Meet daily productivity goals and help keep projects on track.
• Ask questions and collaborate with team leads to resolve unclear labeling tasks.
• Suggest small improvements to make your workflow easier and faster.

Skills

Attention to detail

Clear communication

Willingness to learn

Remote work

Adaptability

Tools

Labelbox

CVAT

Supervisely

Job description

Expedock is seeking an Entry-Level AI Data Annotator to perform image segmentation and labeling across diverse datasets. Ideal for someone curious about AI and computer vision, with structured guidelines and remote collaboration with a distributed team.

The role emphasizes attention to detail, steady daily productivity, and willingness to learn new annotation tools. You will work with polygon, bounding box, and semantic labeling tasks while adhering to QA standards.