Part-Time Student Worker – AI Validation and Benchmarking Engineer

Zoox

Part-Time Student Worker contributing to AI validation and benchmarking for autonomous ride-hailing company. Engaging with real projects and collaborating with engineers in transportation challenges.

Posted 7/3/2026part-timeFoster City • California • 🇺🇸 United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and evaluation methodologies, including precision, recall, and F1 score, while utilizing Python for scripting and automation. Capable of building and maintaining benchmark pipelines and structured datasets to enhance agent evaluation processes.

Highest-signal resume keywords

Python ProgrammingBenchmark Pipeline ManagementData Analysis and EvaluationLLM-Based Systems ExposureJira or Slack Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisEvaluation ConceptsScript WritingMetric ReportingStructured Data Handling

Tools & Technologies

CursorClaudeJiraSlack

Industry Keywords

Agent EvaluationBenchmark ValidationGround Truth DatasetsFailure Mode Investigation

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Run and maintain the benchmark pipeline, analyzing results to identify routing errors and regressions across agent variants
Build and expand ground truth datasets used to evaluate agent outputs against known-correct answers
Identify and address gaps in benchmark validation and support building a more comprehensive evaluation infrastructure to improve validation prior to release
Develop new evaluation dimensions such as label accuracy and structured output correctness beyond the existing team classification benchmarks
Investigate failure modes in agent outputs and work with engineers to surface actionable improvements
Write scripts and tooling to automate data collection, result parsing, and metric reporting
Document findings, track benchmark trends over time, and present results to the team

Requirements

What you’ll need

Currently enrolled in a B.S. or M.S. in Computer Science, Data Science, Engineering or a related field
Available to commit to a minimum three-month assignment
Able to commit to a minimum of 20 hours per week
Able to work on-site at one of our office locations
Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations
Familiar with Cursor or Claude
Familiar with Python
Familiar with evaluation concepts: precision, recall, F1 score, and confusion matrices
Comfortable working with structured data (CSV, JSON)
Experience modifying or writing reproducible analysis scripts
Prior exposure to LLM-based systems, prompt engineering, or AI agent evaluation
Experience with Jira or Slack (e.g. ticketing systems, messaging apps)

Benefits

Comp & perks

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.