Perform image segmentation and object labeling using polygons, bounding boxes, and semantic segmentation. Annotate datasets involving roads, vehicles, satellite imagery, blueprints, and roofing while meeting accuracy and productivity targets. Follow QA guidelines, collaborate with team leads to resolve unclear tasks, and suggest workflow improvements. The role includes structured remote training and is suitable for candidates with basic computer skills and no prior annotation experience.
Schedule: EMEA
Employment Type: Full-time
Location: Remote, Philippines
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.
Expedock San Francisco, California, USA Office
San Francisco, CA, United States
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