Triage Analyst - Autonomous Vehicle Systems (Onsite)
Location : Pittsburgh , PA , United States ( Onsite )
Compensation : $30.00 – $34.00/ hour
Schedule : Full - time , 30+ hours per week
Contact role | Two - stage onsite interview Position Overview
We are hiring a skilled Triage Analyst to support Autonomy, Operations, and System Performance teams. This role is responsible for reviewing, annotating, classifying, and reporting on autonomous vehicle (AV) events derived from real-world driving and simulation data. This is a fully onsite position. Candidates must be located in or able to commute to Pittsburgh, PA. Key Responsibilities
- Review and analyze events of interest from real-world autonomous driving and simulation environments
- Annotate and label AV events with contextual metadata in accordance with Triage Policies and Operational Guidelines
- Classify events by issue type, severity, and priority
- Utilize data visualization and review tools, including video, numerical, and textual datasets
- Collaborate with Autonomy Engineering, Operations, and Analytics teams
- Generate, analyze, and present quantitative and qualitative performance reports
- Ensure consistent and accurate application of documentation, workflows, and quality standards
- Support operational triage processes critical to autonomous vehicle system validation
- Strong analytical and problem-solving skills with the ability to apply complex operational or technical guidelines
- Experience working in data analysis, operations, quality review, or technical annotation roles
- Proficiency with Google Workspace / G Suite (Sheets, Docs, Slides) or equivalent productivity tools
- Experience producing structured reports and performance summaries
- Strong written and verbal communication skills
- Ability to work effectively in a cross-functional, collaborative environment
- High attention to detail and accuracy in policy-driven workflows
- Prior experience as a Triage Analyst, Data Annotation Analyst, Labeling Analyst, QA Analyst, or similar role
- Experience within autonomous vehicles (AV), robotics, ADAS, or intelligent transportation systems
- Familiarity with 2D/3D visualization, modeling, or simulation tools
- Experience using custom internal web-based tools or operational platforms
- Background in engineering support, operations analytics, or system performance analysis
Submit your updated CV and complete the screening questions. Qualified candidates will be contacted quickly through our automated response. #LI-DNI
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