AI Data Annotator - Philippines

Company shown to members 🔒 · Remote · US only

US onlyEntry-level (years not stated)Published 12 March 2026Ghost risk: high

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Entry-level (years not stated)
Where you can live
US only
Skills and tools
compliance, qa

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Job details

Where you can work
United States
Employment type
Not stated by the employer
Advertised pay
Not stated by the employer
Experience
Entry-level (years not stated)
Employer publication date
12 March 2026
First recorded by Psst
12 October 2026
Last checked at the source
11 November 2026

About the job

Schedule: EMEA

Employment Type:   Full-time

Location:  Remote, Philippines

About the company

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 the company, 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.

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Ghost Job Detector: Ghost risk: high
  • Open 8 months
  • No pay listed
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