Data Annotator - LATAM

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

Employment Type: Project-based

Location: Remote: USA, LATAM

About Expedock

We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential

Who We Need

We’re looking for a detail-oriented, motivated individual to join our team as an Entry-Level AI Data Annotator. This role is perfect for anyone who’s curious about AI and computer vision and wants to get hands‑on experience, even if it’s your first time working with these kinds of datasets.

What You’ll Do

• 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 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.

What You Need

• 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.

Performance Metrics

• Daily image labeling throughput (images/day per operator).
• Annotation accuracy rate (as measured by QA review).
• Compliance with labeling guidelines and turnaround time.

Candidate Data & Privacy Notice

By submitting your application to Expedock, you acknowledge and consent to the collection, use, and processing of your personal information for recruitment and hiring purposes. Your information will be used to:

• Evaluate your qualifications and suitability for current and future roles
• Communicate with you throughout the recruitment process Improve our hiring processes and overall candidate experience
• Maintain talent pools for future opportunities, where permitted by law

We handle candidate data with care and in accordance with applicable data protection and privacy regulations. Your information will only be accessed by authorized team members and will not be shared with third parties without your consent, unless required by law.