or apply directly on Waymo's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Waymo's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Waymo's roles list one
- Ghost-job risk at Waymo
- high 348 stale, 9 reposted of 353 open
- Hiring momentum
- 490 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Waymo's own greenhouse board since 2026-08-03. Full hiring picture for Waymo.
About this role
As a Policy & Quality Specialist at Waymo, you will be responsible for translating complex machine learning data requirements into clear labeling policies to support the Perception Engineering team. Your role involves driving the readiness of labeling queues, creating golden datasets, and providing operational guidance to vendor teams. You will also monitor labeling pipelines for quality improvements and facilitate communication between technical teams and operations.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Waymo as an employer.
What you need
- 4-5+ years of experience in data analysis, operations, or program management with a focus on machine learning data annotation, taxonomy design, or human-in-the-loop workflows
- Demonstrated ability to work independently on operational workflows and successfully project manage small sub-working groups or vendor squads
- Practical knowledge of dataset curation, labeling pipelines, data quality control metrics, and baseline model evaluation concepts
- Experience conducting technical data analyses using pre-established tools (or building simple automation scripts) to diagnose pipeline issues, track vendor quality, and generate actionable insights
- Comfort working within a dynamic environment, translating vague technical needs into clear documentation, and maintaining a high standard of attention to detail
Nice to have
- Experience with scripting languages (e.g., Python, SQL) or basic automation techniques to parse high volumes of critical data
- Experience collaborating with software engineering stakeholders to gather structured requirements and explain technical operational policies
- Prior experience working across multiple geographic locations and managing vendor-hosted operations
- Familiarity with prompt engineering and evaluation of model outputs (AI-generated workflows)
What you get
- Discretionary annual bonus program
- Equity incentive plan
- Generous Company benefits program
Worth weighing
- No specific mention of remote work flexibility
- Role heavily focuses on operational excellence and may not involve direct machine learning model development
- Salary range provided but actual pay depends on various factors, which may lead to uncertainty for candidates
Summarised from Waymo's posting. Read the full original.
Listed by Waymo on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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