Job Description

Time Type:

Full Time

Tasks and responsibilities:

Workplace:

  • Annotate and label logistics-related data including shipment records, delivery documents, route maps, images of packages or warehouses, sensor data, and other relevant datasets.

  • Follow specific annotation guidelines designed for logistics use cases to ensure high-quality data for machine learning models.

  • Collaborate with data scientists, AI engineers, and logistics experts to refine annotation standards and improve AI system accuracy.

  • Identify and flag inconsistencies or anomalies in logistics data to enhance model training quality.

  • Maintain thorough documentation of annotation procedures and updates to project requirements.

  • Meet productivity and accuracy goals within tight deadlines typical of fast-paced logistics environments.

  • Stay updated on new annotation tools and logistics industry trends relevant to AI ap...

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