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.

About the Role:

The Labeling team delivers algorithms, tools and infrastructure to provide labels that can be used by Perception, Motion Planning, and other ML teams for training and evaluation. The team works closely with manual labeling efforts and infrastructure to create a data centric ecosystem needed to develop real time, safety critical ML models for autonomous driving.

We are looking for a LabelingAnalyst 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.

Responsibilities:

Review labels using a third party to to identify any defects, mis-labeled or unlabeled items
Update issue trackers based on defects found, summarize findings and write reports
Follow up with third party for resolutions
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

Qualifications:

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

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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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

Contract Labeling Associate

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