Data Labeling Analyst - Autonomous Vehicles

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 Powered by JazzHR