Contract Labeling Associate

Stack AVPittsburgh, PA

About The Position

The Labeling team delivers algorithms, tools and infrastructure to provide data labels that can be used by Perception, Motion Planning, and other ML teams for training and evaluation. They work closely with manual labeling efforts and infrastructure teams to create a data centric ecosystem needed to develop real time, safety critical ML models for autonomous driving. We are looking for a Labeling Analyst to review and ensure a high quality of labels delivered to our Autonomy teams. The job entails operating internal and third party tools to visualize labels and checking if they meet our quality and labeling standards. The Labeling Analyst will also collaborate across operational and technical teams to identify and correct issues and support other labeling related tasks as needed.

Requirements

  • Computer literacy and operate web based tools.
  • Ability to work with Google docs, spreadsheets, write summary reports and aggregate statistics using Google Sheets.
  • Ability to take high level acceptance criteria guidance and follow it to execute on label review.
  • Ability to work in a highly collaborative, team environment across a variety of functional domains, both operational and technical.

Responsibilities

  • Review labels using internal and third party tooling to identify defects, mis-labeled or unlabeled items.
  • Perform high-precision mapping and spatial data annotation activities crucial for autonomous vehicle navigation, utilizing proprietary tooling.
  • Update issue trackers based on defects found, summarize findings and write reports.
  • Follow up with internal and third party partners to resolve quality issues.
  • Participate in defining requirements for, testing, and creating user documentation for internal label editing and review tooling.
  • Help with other tasks such as selecting suitable logs for labeling and generating analytics on the QA process.
  • Partner with engineering teams to define requirements for, test, and create user documentation for new proprietary labeling and mapping tools.
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