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About Rivian
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Role Summary
In this role, you will analyze large-scale 2D/3D annotation datasets to identify data gaps,
quality issues, and operational inefficiencies, and build dashboards and metrics that
monitor annotation throughput, quality, cost, and vendor performance. You will partner
closely with Annotation Operations, Perception, and Engineering teams to ensure data
readiness for model training and evaluation.
The ideal candidate is data-driven, detail-oriented, and execution-focused, with a strong
understanding of annotation workflows and a passion for improving data quality and
efficiency at scale. This role plays a critical part in enabling informed decision-making,
continuous process improvement, and scalable annotation operations across internal
teams and external vendors
Responsibilities
Data Analysis, Insights & Dashboards
• Analyze large-scale 2D/3D annotation datasets to identify data gaps, quality
issues, coverage gaps, and inefficiencies impacting Perception and ML training.
• Design, build, and maintain dashboards and reports to monitor:
• Annotation throughput, efficiency, and cost
• Quality metrics (QA pass rates, error types, rework)
• Vendor and annotator performance trends
• Translate complex annotation and perception data into clear, actionable insights
for engineering, annotation operations, and leadership.
• Partner with Perception teams to align data readiness metrics with model training
and evaluation needs.
Annotation Operations & Quality
• Assess level of effort for annotation projects and support end-to-end execution,
including in-house vs. vendor decisions.
• Collaborate with stakeholders to gather labeling requirements and define,
maintain, and evolve labeling policies.
• Define and track annotation quality, productivity, and certification metrics;
continuously refine benchmarks.
• Conduct QA/QC analysis on annotated data, identify systemic issues, and
provide structured feedback to annotators and vendors.
• Implement and measure labeling efficiency improvements, using data to validate
impact.
Process Improvement & Automation
• Identify opportunities to make data delivery and annotation workflows faster,
more accurate, and scalable.
• Build lightweight automation (scripts, queries, data pipelines) to reduce manual
reporting and operational overhead.
• Maintain structured datasets (databases, tables, metrics pipelines) to enable
consistent reporting and historical analysis.
Cross-Functional & Vendor Collaboration
• Work closely with Annotation Ops, Perception, and Engineering teams to ensure
consistent process implementation.
• Support vendor management by analyzing performance, cost, and quality metrics
across multiple annotation partners.
• Prepare technical and operational reports to support planning, execution, and
decision-making.
• Coordinate across teams and time zones to ensure alignment and timely delivery.
Qualifications
Required
• BS degree in a technical or related field with 2+ years of relevant experience (or
5+ years equivalent industry experience).
• 2+ years supporting data annotation, ML data, or labeling-related projects.
• Strong understanding of 2D/3D data annotation workflows for ML and Perception
use cases.
• Hands-on experience with data analysis, metrics tracking, and dashboarding.
• Working knowledge of Python, SQL, databases, and/or data visualization tools.
• Experience analyzing LiDAR point clouds, video, and image annotation data.
• Ability to manage multiple projects, prioritize effectively, and deliver under tight
timelines.
• Strong written and verbal communication skills, with the ability to explain data
insights to non-technical stakeholders.
Nice to Have
• Experience mentoring or guiding junior team members or offshore teams.
• Familiarity with annotation QA frameworks and error taxonomy design.
• Experience building or improving operational analytics for efficiency, cost, or
quality.
• Comfort working in a fast-paced, cross-functional, and collaborative environment.
Pay Disclosure
Salary Range for California Based Applicants: $132,100-$165,100 (actual compensation will be determined based on experience, location, and other factors permitted by law).
Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.
Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy and Technology
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.
Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.
AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.
Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.
Please note that we are currently not accepting applications from third party application services.