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. Responsibilities Familiarize yourself with basic machine learning/neural network concepts to understand how your contributions train the product Become an expert in each iteration of our tooling and projects Continuous improvement towards above standard quality and quantity, as set by leadership Consistent communication regarding labeling efficiency and effectiveness for continual refinement of processes Collaboration with cross-functional teams to ensure consistent process implementation Communicate errors/corner cases/systematic misunderstanding with leadership Qualifications High school diploma or bachelor degree in Technical field Prior 2D or 3D annotation experience within autonomous driving space Experience leading a team, training and mentoring entry level data annotation specialists Experience working cross-functionally with teams in the data pipeline (engineers, data analysts, etc) Experience building or iterating on existing processes and tools Experience tracking and documenting all tasks and moving parts within data annotation and curation Previous startup experience, or experience part of a team with daily/weekly changes and ability to keep track of these through communication over slack and weekly meetings Ability to work independently with minimal supervision High level of project ownership and personal accountability High attention to detail Adept with mouse and keyboard High level of engagement and focus 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 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.
Data Annotation Specialist II
This role involves data annotation for autonomous driving, requiring familiarity with ML concepts to understand how annotations train the product. The specialist will become an expert in tooling, focus on quality and quantity, collaborate with cross-functional teams, and communicate errors. Prior annotation experience, team leadership, and process iteration are preferred.
What you'd actually do
- Familiarize yourself with basic machine learning/neural network concepts to understand how your contributions train the product
- Become an expert in each iteration of our tooling and projects
- Continuous improvement towards above standard quality and quantity, as set by leadership
- Consistent communication regarding labeling efficiency and effectiveness for continual refinement of processes
- Collaboration with cross-functional teams to ensure consistent process implementation
Skills
Required
- High school diploma or bachelor degree in Technical field
- Adept with mouse and keyboard
Nice to have
- Prior 2D or 3D annotation experience within autonomous driving space
- Experience leading a team, training and mentoring entry level data annotation specialists
- Experience working cross-functionally with teams in the data pipeline (engineers, data analysts, etc)
- Experience building or iterating on existing processes and tools
- Previous startup experience, or experience part of a team with daily/weekly changes and ability to keep track of these through communication over slack and weekly meetings
- Ability to work independently with minimal supervision
- High level of project ownership and personal accountability
- High attention to detail
- High level of engagement and focus
What the JD emphasized
- prior 2D or 3D annotation experience within autonomous driving space
- Experience leading a team, training and mentoring entry level data annotation specialists
- Experience working cross-functionally with teams in the data pipeline (engineers, data analysts, etc)
- Experience building or iterating on existing processes and tools
- Ability to work independently with minimal supervision
- High level of project ownership and personal accountability
- High attention to detail
Other signals
- understanding how contributions train the product
- expert in tooling and projects
- continuous improvement towards above standard quality and quantity
- collaboration with cross-functional teams
- communicate errors/corner cases/systematic misunderstanding