Contract Labeling Associate

About the role

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.

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.

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.
• We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
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Additional Information

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

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Company Intel

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