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Expedock

Automates invoice reconciliation & shipment visibility

Data Annotator

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Good attention to detail and a careful eye for visual accuracy.
  • Basic computer skills.
  • 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.

Responsibilities

  • 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, and roofing.
  • Ensure accuracy by following simple quality assurance 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 the workflow easier and faster.
  • Meet performance expectations for daily image-labeling throughput, annotation accuracy as measured by quality assurance review, compliance with labeling guidelines, and turnaround time.

Desired Qualifications

  • Experience with annotation tools such as Labelbox, CVAT, or Supervisely.

About the Company

Expedock

Automates invoice reconciliation & shipment visibility

Expedock uses AI to automate back-office tasks in the global supply chain. Its SaaS tools help freight forwarders, shippers, and logistics providers automate invoice reconciliation, process lengthy statements, and gain end-to-end shipment visibility. The platform extracts and reconciles data from invoices and documents, then presents actionable insights and exceptions through a data infrastructure accessed on a subscription basis. Its aim is to help customers scale operations, cut manual work, and improve service quality without adding headcount by focusing on AI-driven automation and data infrastructure for logistics providers.

Company size
201-500
Company stage
Series A
Total funding
$19.8M
Headquarters
San Francisco, CA
Founded
2019

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