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Data Labeling Analyst - Autonomous Vehicles

TRUCKING PEOPLE
Pittsburg, PA Full Time
POSTED ON 4/17/2026
AVAILABLE BEFORE 7/14/2026
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
 

Salary : $30 - $32

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