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Operations Analyst

🕒 7 days ago
Data Quality ReviewData AnnotationSensor DataMapping
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📜 Description

  • Coordinate with internal stakeholders and external partners to clarify requirements and align on quality expectations.
  • Review annotated sensor and map data against project specifications and identify recurring quality issues.
  • Prepare quality reports and recommend solutions based on findings.
  • Write annotation policies and create training and onboarding documentation.
  • Annotate data, test internal tools and releases, and identify workflow or UI/UX improvements.
  • Create visual assets and support on-road operations and other program priorities.

🛠️ Requirements

  • 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.

✨ Benefits

  • Equity awards
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Unlimited vacation
  • Flexible hours and work-from-home support
  • Daily drinks, snacks, and catered meals when in office
  • Team-building activities and social events
Full 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.
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 The US yearly salary range for this role is: $90,000 - $120,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits: Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). Unlimited Vacation. Flexible hours and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events both on-site, off-site & virtually. As we grow, this list continues to evolve!    Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!   Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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