Data Annotator - LATAM

Expedock; Oregon; Hybrid; USD 21,000 - 30,000; Full time

Job summary

Expedock is seeking an entry-level AI Data Annotator to join our remote team. You will label and segment images (polygons, boxes, semantic) across datasets like roads, vehicles, and architectural plans, following clear instructions and QA checks.

This role is ideal for curious newcomers who want hands-on AI experience. You will meet daily productivity goals, collaborate with team leads, ask questions, and contribute ideas to streamline workflows while working from anywhere in the USA or LATAM.

Qualifications

• Strong attention to detail and visual accuracy.
• Basic computer skills; annotation tools experience is a plus.
• Willingness to learn and follow structured guidelines.
• Clear communication for questions or reporting issues.
• Comfortable in remote or team-based setup with productivity tracking.

Responsibilities

• Perform image segmentation and labeling (polygons, bounding boxes, semantic segmentation).
• Work with datasets such as roads, vehicles, curbs, lane markings, 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 tasks.
• Suggest small improvements to make the workflow faster.

Skills

Attention to detail

Clear communication

Willingness to learn

Remote work collaboration

Team collaboration

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.