Operations Analyst - Data QA & Mapping (Remote & Flexible)

Waabi; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation and equity

Health and Wellness benefits (Medical,

Unlimited Vacation

Flexible hours and Work from Home

Daily meals when in office

Team building activities

Job summary

Waabi, a leader in Physical AI, seeks a generalist for its labelling and mapping program. The role shifts weekly to meet program needs, collaborating across teams to ensure high data quality and rapid iteration.

You will write policies, create training material, annotate data, test tools, and produce visual assets for stakeholders. This is a fast-paced, collaborative role with opportunities to contribute to autonomous transportation initiatives in the US.

Qualifications

• Experience coordinating with partners, PMs, annotators and engineers through a project lifecycle.
• Excellent communication, written and verbal, to explain technical concepts clearly.
• Strong data review and attention to detail.
• Proficient data analysis with spreadsheets.
• Able to thrive in a fast-paced environment with shifting priorities.
• Familiarity with Jira or similar workflow tools.

Responsibilities

• Clarify requirements with stakeholders and align on quality expectations.
• Prepare quality updates and reports for stakeholders.
• Conduct quality reviews of annotated sensor and map data.
• Identify recurring data quality issues and propose solutions.
• Write and maintain data annotation policies.
• Create onboarding materials for annotators and internal users.
• Perform annotations to support rapid iteration.
• Test internal tools and report bugs and UX/workflow improvements.
• Create visual assets for internal and external audiences.
• Support on-road operations and priorities as they come up.

Skills

Project collaboration

Communication

Attention to detail

Data analysis

Adaptability

Jira

Tools

SQL

Python

3D/Video tools

Job description

Waabi, a leader in Physical AI, seeks a generalist for its labelling and mapping program. The role shifts weekly to meet program needs, collaborating across teams to ensure high data quality and rapid iteration.

You will write policies, create training material, annotate data, test tools, and produce visual assets for stakeholders. This is a fast-paced, collaborative role with opportunities to contribute to autonomous transportation initiatives in the US.