Data Annotator - US
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- Pay
- Pay not listed
- Work setting
Remote — work setting source
Employment Type: Project-based Location: Remote: USA, LATAM About Expedock
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingPerform 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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsPreferred experience
- Experience with annotation tools (Labelbox, CVAT, Supervisely) is a plus but not required.
Qualification wording
Basic computer skills. Experience with annotation tools (Labelbox, CVAT, Supervisely) is a plus but not required.
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
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on expedock.bamboohr.com. The employer’s form will show what is required.
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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.
Source details
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- Pay
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- Location & working pattern
Location not supplied.
Employment Type: Project-based Location: Remote: USA, LATAM About Expedock
More source context
- Clear communication skills for asking questions or reporting issues. - Comfortable working in a remote or team-based setup with productivity tracking. Performance Metrics
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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