Data Labeling Analyst - Autonomous Vehicles

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Pittsburgh, PA (Hybrid | In-Person 2–3 Days/Week)
💰 $30–$32 per hour | Full-Time (40 hrs/week)

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.

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

• 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

• 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

• 40 hours per week

• Hybrid role: onsite 2–3 days per week

• Candidates must be based in or near Pittsburgh, PA

• 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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