Waabi Operations Analyst supporting Waabi's labeling and mapping program by collaborating with stakeholders, conducting quality reviews, and maintaining documentation. Perform annotations and test internal tools to improve data quality and workflow.
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.
Qualification
Experience collaborating with partnersExcellent communication skillsExcellent data analysis skillsBonus/nice to haveExperience in the self-driving industryExperience with mappingExperience with software testing or QASQLPython3D/video tools
Required
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.
Preferred
Experience in the self-driving industry
Experience with mapping, LiDAR, or other annotation pipelines
Experience writing training materials or technical documentation
