Data Contributor Jobs at Zoox with Visa Sponsorship
Data Contributor roles at Zoox sit at the intersection of autonomous vehicle development and large-scale data operations, requiring contributors who can label, validate, and structure sensor data that trains self-driving systems. Zoox has an established track record of sponsoring international talent across a range of work visa categories for this function.
See All Data Contributor at Zoox JobsOverview
Showing 5 of 121+ Data Contributor Jobs at Zoox jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 121+ Data Contributor Jobs at Zoox
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor Jobs at Zoox.
Get Access To All JobsINTRODUCTION
Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems.
You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward.
ROLE AND RESPONSIBILITIES
- Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability.
- Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.
- Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.
- Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies.
- Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation.
- Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data.
BASIC QUALIFICATIONS
- MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
- Proficiency in Python and SQL with experience in production-quality code
- Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
- Experience with large-scale data analysis and statistical modeling
- Proficiency with Git, unit testing, and collaborative development practices
PREFERRED QUALIFICATIONS
- Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
- Experience with designing metrics and delivering actionable insights that drive business decisions
COMPENSATION
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
INTRODUCTION
Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems.
You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward.
ROLE AND RESPONSIBILITIES
- Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability.
- Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.
- Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.
- Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies.
- Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation.
- Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data.
BASIC QUALIFICATIONS
- MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
- Proficiency in Python and SQL with experience in production-quality code
- Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
- Experience with large-scale data analysis and statistical modeling
- Proficiency with Git, unit testing, and collaborative development practices
PREFERRED QUALIFICATIONS
- Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
- Experience with designing metrics and delivering actionable insights that drive business decisions
COMPENSATION
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See all 121+ Data Contributor at Zoox jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor at Zoox roles.
Get Access To All JobsTips for Finding Data Contributor Jobs at Zoox Jobs
Frame your annotation experience around AV data
Zoox's data pipeline centers on lidar, radar, and camera sensor data for autonomous systems. Highlighting hands-on experience with 3D point cloud annotation or sensor fusion datasets positions you far more competitively than general data labeling work.
Apply before OPT's 90-day unemployment clock starts
If you're on F-1 OPT, the 90-day unemployment limit applies the moment your authorization begins. Target Zoox's open Data Contributor roles early and confirm the employer's timeline for submitting an E-Verify case, which is required for STEM OPT extension eligibility.
Ask about cap-exempt filing options during negotiation
If you're outside the H-1B cap window, ask the Zoox recruiter whether a cap-exempt institution transfer or an alternative category like TN or E-3 is feasible for your situation. Clarifying this before an offer letter is drafted avoids delays later.
Use Migrate Mate to target open Data Contributor roles at Zoox
Search Migrate Mate to filter current Data Contributor openings at Zoox by visa type. This lets you identify which roles are actively hiring and align your application to positions where Zoox is already set up to sponsor your specific category.
Prepare degree equivalency documentation early
Zoox's specialty occupation determination for H-1B filings requires that your degree field directly relates to the Data Contributor role. If your degree is outside computer science or a related field, get a credential evaluation from a NACES-member organization before your offer stage.
Data Contributor at Zoox jobs are hiring across the US. Find yours.
Find Data Contributor at Zoox JobsFrequently Asked Questions
Does Zoox sponsor H-1B visas for Data Contributors?
Yes, Zoox sponsors H-1B visas for Data Contributor roles. The H-1B requires the position to qualify as a specialty occupation, meaning a relevant bachelor's degree or higher is a standard requirement for the job. Because H-1B cap slots are allocated by lottery each April for October 1 start dates, timing your application cycle matters. Zoox also sponsors H-1B1 and E-3 visas for eligible nationals, which bypass the lottery entirely.
How do I apply for Data Contributor jobs at Zoox?
Apply directly through Zoox's careers portal or browse current openings through Migrate Mate, which filters roles by visa sponsorship type. Data Contributor applications at Zoox typically involve a resume screen, a practical assessment focused on annotation accuracy or data quality tasks, and a hiring manager interview. Having documentation of your visa status and authorization timeline ready before your first recruiter call will speed up the process.
Which visa types does Zoox commonly use for Data Contributor roles?
Zoox sponsors a broad range of visa categories for Data Contributors, including H-1B, H-1B1 for Chilean and Singaporean nationals, E-3 for Australian nationals, TN for Canadian and Mexican nationals, EB-2 and EB-3 for permanent residence, F-1 OPT and CPT for students, and J-1 for exchange visitors. The applicable category depends on your citizenship, degree field, and the specific role classification Zoox assigns to the position.
What qualifications does Zoox expect for Data Contributor roles?
Zoox's Data Contributor roles center on data labeling, quality control, and structured annotation of autonomous vehicle sensor data, including lidar point clouds, camera imagery, and radar returns. A bachelor's degree in a technical or analytical field is standard for visa-sponsored positions. Familiarity with annotation tools, attention to edge cases in sensor data, and experience with quality assurance workflows in an AV or robotics context strengthens your application significantly.
How do I plan my timeline if Zoox is sponsoring my H-1B?
USCIS opens H-1B cap registration in early March each year, with selected petitions filed by late June for an October 1 start date. If you receive an offer from Zoox outside this window, ask whether premium processing is available to accelerate approval once your petition is filed. F-1 OPT holders can bridge the gap with STEM OPT extension for up to 24 additional months, provided Zoox completes the required E-Verify enrollment before your extension is submitted to USCIS.
See which Data Contributor at Zoox employers are hiring and sponsoring visas right now.
Search Data Contributor at Zoox Jobs