Data Labeling Analyst - Autonomous Vehicles

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

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