Startups · AI

Operations Analyst

Waabi · Pittsburgh, PA · Hybrid

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About Waabi

Transform your supply chain with Waabi’s AI-first autonomous trucking solution. Scale freight operations, improve safety, and boost efficiency. Learn more. Backed by Khosla.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role

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...

Read the full posting on Waabi's site ↗

Product & Technical Program Mgmt

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