Data Annotator - LATAM

Posted Yesterday
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Hiring Remotely in United States
Remote
Entry level
Artificial Intelligence • Logistics • Software • Automation
The Role
Perform image segmentation and object labeling for computer vision datasets using polygons, bounding boxes, and semantic segmentation. Follow annotation guidelines, complete quality checks, meet daily productivity targets, communicate unclear tasks to team leads, and suggest workflow improvements. Work remotely with datasets involving roads, vehicles, satellite imagery, blueprints, roofing, and related visual content.
Summary Generated by Built In

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.

Skills Required

  • Good attention to detail and visual accuracy
  • Basic computer skills
  • Willingness to learn and follow structured guidelines
  • Clear communication skills for asking questions or reporting issues
  • Comfort working in a remote or team-based setup with productivity tracking
  • Experience with annotation tools such as Labelbox, CVAT, or Supervisely
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The Company
HQ: San Francisco, CA
155 Employees
Year Founded: 2019

What We Do

Expedock is an AI-powered automation service and tech-enabled workforce augmentation platform specializing in the global supply chain and logistics industry. The company leverages cutting-edge AI and top global talent to automate the processing of complex freight documents and streamline back-office operations. By combining proprietary AI with specialized remote teams, Expedock helps logistics, tech, and healthcare businesses increase operational capacity, reduce costs, and improve data accuracy.

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