Remote AI Data Annotator – Entry Level (LATAM/USA)

Expedock; United States; Remote; USD 17,000 - 28,000; Part time

Job summary

Expedock is seeking an Entry-Level AI Data Annotator to join a remote, project-based role supporting data labeling for AI and computer vision projects. You will perform image segmentation, labeling, and QA checks across diverse datasets such as roads, vehicles, and satellite imagery.

This entry-level position is ideal for curious individuals starting in AI data work and requires strong attention to detail. Ideal candidates are comfortable working remotely, following structured guidelines, and

Qualifications

• Good attention to detail and a careful eye for visual accuracy.
• Basic computer skills; familiarity with annotation tools is a plus but not required.
• Willingness to learn and follow structured guidelines.
• Clear communication for asking questions or reporting issues.

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, satellite imagery, blueprints, roofing, etc.
• Ensure accuracy by following 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 the workflow easier and faster.

Skills

Attention to detail

Basic computer skills

Willingness to learn

Clear communication

Tools

Labelbox

CVAT

Supervisely

Job description

Expedock is seeking an Entry-Level AI Data Annotator to join a remote, project-based role supporting data labeling for AI and computer vision projects. You will perform image segmentation, labeling, and QA checks across diverse datasets such as roads, vehicles, and satellite imagery.

This entry-level position is ideal for curious individuals starting in AI data work and requires strong attention to detail. Ideal candidates are comfortable working remotely, following structured guidelines, and