Data Annotation Specialist

Saronic Saronic · Defense · Austin, TX · Software

The Data Annotation Specialist will annotate and review visual datasets for training and evaluating machine learning models in maritime autonomy. This role involves identifying objects in image/video data, maintaining annotation accuracy, and using annotation tools.

What you'd actually do

  1. Annotate and review large volumes of image, video, infrared, and other sensor data using computer vision labeling methods.
  2. Identify vessels, objects, environmental features, and other elements relevant to maritime autonomy.
  3. Maintain accuracy, consistency, and productivity across repetitive, detail-heavy datasets.
  4. Apply evolving labeling guidelines and escalate unclear edge cases when needed.
  5. Perform both manual annotation work and quality review of auto-labeled data as needed.

Skills

Required

  • Prior experience in computer vision data annotation or labeling
  • Familiarity with annotation tools such as Labelbox, CVAT, or similar
  • Experience with annotation types such as segmentation masks, bounding boxes, key points, object tracking, or classification
  • Strong visual pattern recognition, spatial reasoning, and attention to detail
  • Comfortable performing repetitive, process-driven work for extended periods while maintaining quality
  • Able to adapt to changing project priorities, labeling rules, and quality standards in a fast-paced environment
  • Strong communication skills and willingness to ask questions, accept feedback, and collaborate with the team

Nice to have

  • Basic understanding of maritime environments, autonomous systems, robotics, or defense technology

Other signals

  • annotating visual datasets
  • train and evaluate machine-learning models
  • computer vision annotation experience