Full Time Online Data Annotation Jobs (NOW HIRING)

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. 

Rivian’s Autonomy organization is looking for a Staff Software Engineer, ML Applications on the Data & Cloud team. You will set the direction for large-scale applications and data pipelines that power data annotation, ML/DL training and infrastructure, using modern cloud services and open-source frameworks. You will tackle ambiguous, cross-functional problems (scale, reliability, cost, developer velocity) and align engineering, ML, and data partners on architecture and roadmaps. You will help the Autonomy organization move faster by building reliable, observable software on top of petabyte-scale sensor datasets.

• Lead the technical development of Rivian’s in-house 2D and 3D labelling platform, enabling the delivery of high quality data for model training and validation.
• Set full-stack platform direction (TypeScript, React) for internal tools that accelerate annotation and ML workflows.
• Lead alignment on backend services and APIs (Go/Python) across teams; establish standards for APIs, data contracts, and service boundaries.
• Guide data modeling and storage strategy across NoSQL databases like MongoDB, including performance, cost and consistency tradeoffs at scale.
• Partner with architects, ML engineers, and data engineers on requirements, architecture and design.
• Drive cloud cost, performance, and reliability initiatives; champion SLOs, observability, and incident learning.
• Mentor junior engineers with technical leadership and knowledge.

• B.S., M.S., or Ph.D. in Computer Science or a related field and at least 6 years of relevant experience; or at least 8 years of industry experience without a degree.
• Strong full-stack background with TypeScript and modern web stacks (React preferred); track record shipping and evolving complex internal web applications.
• Deep backend expertise in Python, Go, or Java on high-throughput or large-data systems. 
• Demonstrated success leading technical design for multi-service or platform-scale systems. 
• Hands-on experience with MongoDB, Postgres, and/or similar databases in production. 
• Proven ability to work cross-functionally across teams and domains, and to communicate clearly to technical and non-technical leaders. 
• History of mentoring engineers and improving team-wide engineering practices. 

Preferred Qualifications 

• Familiarity with end-to-end ML workflows and the production lifecycle of ML data (ingestion, labeling, training, evaluation). 
• Experience with AWS, MLOps, and data/ML pipelines in cloud environments.

The salary range for this role is $206,500-$258,100 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. 

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.

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.  

Please note that we are currently not accepting applications from third party application services.

• B.S., M.S., or Ph.D. in Computer Science or a related field and at least 6 years of relevant experience; or at least 8 years of industry experience without a degree.
• Strong full-stack background with TypeScript and modern web stacks (React preferred); track record shipping and evolving complex internal web applications.
• Deep backend expertise in Python, Go, or Java on high-throughput or large-data systems. 
• Demonstrated success leading technical design for multi-service or platform-scale systems. 
• Hands-on experience with MongoDB, Postgres, and/or similar databases in production. 
• Proven ability to work cross-functionally across teams and domains, and to communicate clearly to technical and non-technical leaders. 
• History of mentoring engineers and improving team-wide engineering practices. 

Preferred Qualifications 

• Familiarity with end-to-end ML workflows and the production lifecycle of ML data (ingestion, labeling, training, evaluation). 
• Experience with AWS, MLOps, and data/ML pipelines in cloud environments.