Labeling Analyst

Job description

HireArt is helping our client find a Labeling Analyst to help deliver data labels to its Perception, Motion Planning, and other machine learning teams for training and evaluation.

In this role, you will work closely with manual labeling efforts and infrastructure teams to create a data-centric ecosystem that is needed to develop real-time, safety-critical models for autonomous driving. Additionally, you will collaborate across operational and technical teams to help identify / correct issues and support other labeling-related tasks as needed.

Please note this role is on a hybrid schedule. Candidates will be expected to be onsite 2-3 days per week and must be based in the Pittsburgh, PA area.

As a Labeling Analyst, you will :

• Review labels using internal and third-party tooling to identify defects, mislabeled, or unlabeled items.
• Update issue trackers, summarize findings, and write reports.
• Report bugs and make feature requests, documenting them clearly and accurately in various tracking systems.
• Work cross-functionally to define tool requirements, execute testing, and create user-facing documentation for internal labeling and review systems.
• Liaise between cross-functional teams to coordinate efforts and ensure alignment and efficient workflow.
• Help with other tasks as needed (e.g. generating analytics on the QA process, etc.)

Requirements

Preferred Requirements :

Benefits :

Commitment : This is a full-time (40 hours per week) contract position staffed via HireArt. It will be a 1-year contract with the possibility of extension. This is a hybrid (2-3 days onsite) role available to candidates local to the Pittsburgh, PA area.

HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.