Sr. Software Analyst, Annotation Analytics, Autonomy

Rivian; Palo Alto (CA); On-site; USD 132,100 - 165,100; Full time

Benefits offered by this job

Medical/Rx insurance

Dental insurance

Vision insurance

Job summary

Rivian is looking for an experienced data analyst in Palo Alto to enhance data quality and efficiency in ML annotation workflows. You will analyze large datasets, monitor metrics, and collaborate with teams on data readiness for model training.

The ideal candidate has a BS degree in a technical field, with at least 2 years of relevant experience, and strong skills in Python, SQL, and data visualization. Join Rivian to contribute to the future of electric adventure vehicles.

Qualifications

• 2+ years of relevant experience in data annotation or ML projects.
• Experience analyzing LiDAR, video, and image data.
• Strong written and verbal communication skills.

Responsibilities

• Analyze large-scale 2D/3D annotation datasets to identify issues.
• Design and maintain dashboards to monitor metrics.
• Collaborate with teams to ensure data readiness.

Skills

Data analysis

Python

SQL

Data visualization

Annotation workflows

Education

BS degree in a technical or related field

Tools

Databases

LiDAR point clouds

Job description

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 [e-mail].