Operations Analyst

present of AI; Pittsburgh (Allegheny County); On-site; USD 50,000 - 70,000; Full time

Job summary

Waabi in Pittsburgh is seeking a generalist operations professional to support data labeling and mapping programs. You will review annotated sensor and map data, spot quality issues, write policies, and help align internal and external partners on standards.

The role requires careful data review, strong spreadsheet analysis, clear writing, and comfort with shifting priorities. The position offers hands-on exposure to annotation and mapping pipelines for sensor and simulation data, with tooling

Qualifications

• Experience with data labeling or annotation pipelines.
• Strong data review and spreadsheet analysis skills.
• Clear written communication and policy writing.
• Ability to adapt to changing priorities.

Responsibilities

• Review annotated sensor and map data against specs.
• Identify recurring quality problems and propose fixes.
• Write annotation policies and training materials.
• Test internal tools and report findings.
• Coordinate quality standards with partners.

Skills

SQL

Python

3D tools

Video tools

Tools

Jira

Job description

A generalist operations role on a data labelling and mapping program, where the work shifts week to week. The person reviews annotated sensor and map data against specs, spots recurring quality problems, writes annotation policies and training materials, tests internal tools, and keeps internal and external partners aligned on quality. A strong candidate brings careful data review, solid spreadsheet analysis, clear writing, and comfort juggling changing priorities.

How it fits the AI era

The company trains its self-driving systems largely inside an AI generated simulator, so the labelled sensor and map data feeding that pipeline has to be clean and consistent. Much of the checking and reporting can be sped up with tooling, but judging whether data matches real world intent, writing clear policies, and agreeing quality standards with partners stay human. The role sits where automated checks meet human judgment about what good data means.

How it builds AI experience

The work offers hands on exposure to annotation and mapping pipelines for sensor and simulation data, which is core to how this company builds autonomy. Testing internal tools and flagging workflow gaps builds practical feel for where automation helps and where it fails. Skills in SQL, Python, or 3D and video tools would deepen that experience and are worth building before applying.

Worth showing

• Spreadsheet analysis
• Clear technical writing
• Annotation policy writing
• Jira workflow familiarity

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Waabi

A Toronto company training self-driving trucks and robotaxis mostly inside its own AI-generated simulator, rather than by racking up millions of real road miles.