AI Data Annotator

Expedock; Philippines; Remote; PHP 201,000 - 290,000; Full time

Benefits offered by this job

HMO & Leave Credits

Supportive Remote Environment

Structured onboarding & training

Job summary

Expedock is seeking an Entry-Level AI Data Annotator to help label images and scenes for training AI models in a remote team environment. You will perform labeling tasks with polygons, bounding boxes, and semantic segmentation on diverse datasets, including roads and satellite imagery.

success depends on meticulous attention to detail, ability to follow structured guidelines, and willingness to learn. You’ll meet daily targets, collaborate with leads, and propose small workflow improvements for

Qualifications

• Attention to detail with a careful eye for visual accuracy.
• Clear communication and willingness to ask questions when needed.
• Basic computer skills and openness to learning annotation tools.
• Comfortable working in remote or team-based environments.

Responsibilities

• Perform basic image segmentation and object labeling with 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 workflows faster.

Skills

Attention to detail

Communication skills

Willingness to learn

Basic computer skills

Remote work familiarity

Tools

Labelbox

CVAT

Supervisely

Job description

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.

Why Expedock

• HMO & Leave Credits: Stay protected with healthcare benefits and use accrued leaves by your third month
• Supportive Remote Environment: Work from home alongside a collaborative team that values growth and mutual success.
• Seamless Onboarding & Training: Get up to speed quickly with a structured program and client specific training designed to make you a subject matter expert in your assigned workflows.

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.