AI Data Annotator

NEPSE Trading; Philippines; Remote; PHP 156,000 - 246,000; Full time

Benefits offered by this job

HMO (Health plans)

Leave credits

Remote-friendly environment

Job summary

Expedock is hiring an Entry-Level AI Data Annotator in the Philippines for remote work. You will perform image labeling tasks, including polygons and bounding boxes, on diverse datasets such as roads, vehicles, and lane markings, while adhering to clear guidelines and QA checks.

You will learn structured annotation workflows, communicate with team leads, and contribute to timely project delivery with steady daily throughput and high accuracy.

Qualifications

• Keen attention to visual accuracy and QA discipline.
• Basic computer literacy and reliable internet.
• Willingness to learn and follow guidelines.
• Good communication for questions and reporting issues.

Responsibilities

• Perform image segmentation and object labeling using polygons, bounding boxes, and semantic segmentation.
• Label datasets including roads, vehicles, lane markings, etc.
• Follow QA checks and guidelines to ensure accuracy.
• Meet daily productivity goals and collaborate with team leads.

Skills

Attention to detail

Clear communication

Willingness to learn

Remote work familiarity

Tools

Labelbox

CVAT

Supervisely

Job description

# AI Data AnnotatorExpedockPhilippinesFull timeRemoteApply by Dec 8, 2026## About the role* 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### benefitsand 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. Originally posted on Himalayas