Operations Analyst

Waabi; Pittsburgh (Allegheny County); On-site; USD 55,000 - 85,000; Full time

Job summary

Waabi calls for a flexible generalist to support its labeling and mapping program across sensor and map data. You will collaborate with partners, PMs, annotators, and engineers to ensure requirements are clear and quality standards are met. You will prepare updates, run quality reviews, and contribute to policies and training materials.

The role focuses on rapid iteration, tooling testing, and creating visual assets to communicate findings and progress to internal teams and external partners.

Qualifications

• Experience collaborating with partners, PMs, annotators and engineers across a project lifecycle.
• Excellent written and verbal communication; ability to explain technical concepts clearly.
• Strong data review and attention to detail.
• Proficiency with spreadsheets and data analysis.

Responsibilities

• Collaborate with internal stakeholders and external partners to clarify requirements, communicate findings, and align on quality expectations.
• Prepare quality updates and reports for internal stakeholders, leadership and external partners.
• Conduct quality reviews of annotated sensor and map data against project specifications.
• Identify recurring data quality issues across datasets and propose solutions.
• Write and maintain data annotation policies.
• Create training manuals and onboarding documentation for annotators and internal users.
• Perform annotations to support rapid iteration and experimentation.
• Test internal tools and software releases, reporting bugs and identifying UI/UX or workflow improvements that raise throughput and accuracy.
• Create visual assets (videos, renders, visualizations) for internal and external audiences.
• Support on-road operations and other priorities as they come up.

Skills

Cross-functional collaboration

Excellent communication

Data analysis

Attention to detail

Jira familiarity

Adaptability

Tools

Jira

SQL

Python

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

This is a generalist role on Waabi's labelling and mapping program; the title is broad because the work is, and the mix shifts week to week with what the program needs.

You will…

• Collaborate with internal stakeholders and external partners to clarify requirements, communicate findings, and align on quality expectations.
• Prepare quality updates and reports for internal stakeholders, leadership and external partners.
• Conduct quality reviews of annotated sensor and map data against project specifications.
• Identify recurring data quality issues across datasets and propose solutions.
• Write and maintain data annotation policies.
• Create training manuals and onboarding documentation for annotators and internal users.
• Perform annotations to support rapid iteration and experimentation.
• Test internal tools and software releases, reporting bugs and identifying UI/UX or workflow improvements that raise throughput and accuracy.
• Create visual assets (videos, renders, visualizations) for internal and external audiences.
• Support on-road operations and other priorities as they come up.

Qualifications:

• Experience collaborating with partners, project managers, annotators and engineers across a project lifecycle.
• Excellent communication skills, written and verbal, with the ability to explain technical concepts clearly and make recommendations based on findings.
• Strong attention to detail when reviewing data.
• Excellent data analysis skills, including spreadsheets.
• Ability to thrive in a fast-paced environment with evolving priorities.
• Working familiarity with Jira or other workflow tools.

Bonus/nice to have:

• Experience in the self-driving industry.
• Experience with mapping, LiDAR, or other annotation pipelines.
• Experience writing training materials or technical documentation.
• Experience with software testing or QA.
• SQL, Python, or 3D/video tools.