Contract Triage Analyst

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:

Triage is a critical operational process used in the development of autonomous vehicles to better understand system performance and identify suboptimal behavior. As a Triage Analyst, you will collaborate with Autonomy and Operations teams in reviewing events of interest, collected from real world driving as well as from simulation, and annotating them with contextual information guided by Stack’s Triage Policy & Guidelines. You will use data visualization tools to annotate events, and categorize them by issue type & priority, per our Triage Policy. Additionally you will assemble and present performance reports on our self-driving system, using Triage data. This role requires the ability to process detailed guideline documentation and utilize various review tools including video, textual, and numerical data to accurately categorize AV events. Experience with 2D/3D visualization tooling, as well as GSuite (Sheets, Docs, Slides) or equivalent is beneficial.

Responsibilities:

• Collaborate with Autonomy and Operations teams to review and annotate events of interest from real-world driving and simulation.


• Annotate events with contextual information, adhering to Stack's Triage Policy & Guidelines.


• Utilize data visualization tools to categorize events by issue type and priority.


• Process detailed guideline documentation and use various review tools (video, textual, numerical data) to accurately categorize AV events.


• Assemble and present performance reports on the self-driving system using Triage data.

Qualifications:

• Strong analytical skills including the ability to understand extensive operational guidelines and apply them to an operational workflow.


• Demonstrated experience working effectively within a team environment in an operational capacity.


• Experience working with data to generate quantitative and qualitative reporting.


• Strong communication skills and the ability to convey complex information in a succinct and effective manner.


• Significant experience working with GSuite type products (Sheets, Docs, Slides).


• Experience as a Triage or Annotation / Labeling Analyst for an AV or Robotics company is preferred.
  

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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.