Data Labeling Analyst
Labeling Analyst (Hybrid – Pittsburgh, PA)
Location: Pittsburgh, PA (Hybrid: 2–3 days/week onsite)
Pay: $30.00-$32.00 an Hour
Employment Type: Full-time | Contract via Trucking People
About the Role
We are helping our client hire a Labeling Analyst to support data annotation efforts that power cutting-edge machine learning systems in autonomous driving. You’ll work with internal tools and cross-functional teams to ensure the accuracy and quality of labeled data for Perception, Motion Planning, and other critical ML systems.
This is a hybrid role. Candidates must be located in the Pittsburgh, PA area and be available to work onsite 2–3 days per week.
What You’ll Do
Review and validate labeled datasets using internal and third-party tools
Identify and document defects, unlabeled or mislabeled items
Track issues, summarize findings, and contribute to internal reports
Submit bug reports and feature requests with clear documentation
Partner with technical teams to test labeling tools and develop user guides
Act as a liaison across operations, engineering, and quality teams
Support additional QA and analytics tasks related to labeling operations
What You’ll Bring
1+ years of experience in data labeling, preferably in the autonomous vehicle or AI space
Strong understanding of labeling guidelines and the ability to apply them in QA review
Excellent written communication skills, especially for documentation and reporting
Comfortable using spreadsheets and basic data analysis (e.g., aggregating statistics in Google Sheets)
Highly collaborative with the ability to work across both operational and technical teams
Preferred Qualifications
Experience with labeling QA in the AV or AI industry
Familiarity with automation tools and process optimization
Perks and Benefits (via Agency)
Pre-tax commuter benefits
Subsidized healthcare plans
Healthcare FSA
100% covered short- and long-term disability and life insurance
401(k) plan