Data Labeling Analyst - Autonomous Vehicles
Company: Trucking People
Location: Littleton
Posted on: January 16, 2026
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Job Description:
Job Description Job Description Call Liza for more info!
281-612-1870 Pittsburgh, PA (Hybrid | In-Person 2–3 Days/Week)
$30–$32 per hour | Full-Time (40 hrs/week) Shape the Future of
Autonomous Driving We are partnering with an innovative autonomous
vehicle company to find a Labeling Analyst who’s passionate about
quality, precision, and cutting-edge technology. This role plays a
critical part in delivering high-quality labeled data used to train
and evaluate machine learning models that power real-time,
safety-critical autonomous driving systems. If you have a sharp eye
for detail, enjoy problem-solving, and like working at the
intersection of operations and technology, this is an exciting
opportunity to make a real impact. What You’ll Do As a Labeling
Analyst, you’ll work closely with internal teams and third-party
partners to ensure labeling accuracy and continuous quality
improvement. Your responsibilities will include: Reviewing data
labels using internal and third-party tools to identify defects,
mislabels, or missing labels Documenting findings, updating issue
trackers, and writing clear, concise reports Filing bugs and
submitting feature requests with detailed documentation
Collaborating cross-functionally with technical, operational, and
infrastructure teams Helping define tool requirements, executing
testing, and creating user-facing documentation Supporting
additional tasks such as QA analytics, log selection for labeling,
and workflow coordination ? What We’re Looking For Strong attention
to detail and comfort working as an individual contributor
Experience using Google Workspace (Docs, Sheets, etc.) Clear
written and verbal communication skills Technical aptitude with the
ability to collaborate across teams QA experience is a plus—but not
required Why This Role? Work on cutting-edge autonomous vehicle
technology Be part of a growing team supporting business expansion
and innovation Gain hands-on experience with real-world machine
learning and data QA processes Competitive hourly pay with
full-time stability on a long-term contract Work Schedule &
Location 40 hours per week Hybrid role: onsite 2–3 days per week
Candidates must be based in or near Pittsburgh, PA Interview
Process Technical screening (experience, skills, and fit) 3
technical interview rounds (including a 45-minute Zoom session)
Onsite, in-person hands-on assessment 2 non-technical interview
rounds zr Powered by JazzHR 5uATHIgyoX
Keywords: Trucking People, Greeley , Data Labeling Analyst - Autonomous Vehicles, IT / Software / Systems , Littleton, Colorado