Data Annotator

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

⬇️ Data Entry

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Expedock

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

🤖 Artificial Intelligence

🚗 Transport

Logistics • Artificial Intelligence • Transport

Expedock is the AI-powered automation service behind some of the leading players in the 7 trillion USD global supply chain. The company is on a mission to build a powerful data infrastructure that drives unprecedented efficiency and profitability across the industry. Expedock focuses on automating the manual processing and inputting of data for freight forwarding and logistics, achieving 99. 99% accuracy. With a team of experts in artificial intelligence and logistics, Expedock aims to transform the future of supply chain and logistics.

📋 Description

• Perform basic image segmentation and object labeling using polygons, bounding boxes, and semantic segmentation • Work with datasets including roads, vehicles, curbs, lane markings, satellite imagery, blueprints, and roofing • Ensure accuracy through QA checks and labeling 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 workflow improvements • Meet performance expectations for daily image-labeling throughput, annotation accuracy, guideline compliance, and turnaround time

🎯 Requirements

• Entry-level role; prior experience with AI or computer vision datasets is not required • Good attention to detail and a careful eye for visual accuracy • Basic computer skills • Experience with annotation tools such as Labelbox, CVAT, or 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

🏖️ Benefits

• Remote work arrangement • Project-based employment