Data QA Analyst

We’ve built cost-effective level 2/3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and  Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our main customers are  Tier 1 automotive manufacturers who are focused on delivering level 2/3 solutions and in the future, will deliver full autonomy. We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experience shipping ADAS systems at a volume production scale.  

At Phantom AI, we’ve built a team of incredibly talented and ambitious people challenging the norm in the automotive industry. If you feel that you have the passion, commitment, and drive to challenge the status quo within the automotive industry, we would love to hear from you. 

• Phantom AI is currently looking for a Data QA Analyst to join our team in Mountain View, California. This role is responsible for maintaining the quality of datasets and improving how Phantom AI manages and scales its labeling efforts. You’ll work closely with engineering, product, and external partners, and will be expected to use your judgment to identify issues, prioritize work, and help drive quality improvements across projects.

• →Review annotated images and sensor data to ensure they meet quality standards and labeling guidelines.
• →Identify quality issues, determine root causes, and work with internal teams and external vendors to resolve them and prevent recurrence.  
• →Provide clear feedback to labeling teams, contributing to improvements in labeling tools, workflows, and guidelines.  
• →Help define, maintain, and evolve QA processes and documentation to support consistency as projects scale.  
• →Make day-to-day decisions on quality standards, edge cases, and review outcomes

•  Strong attention to detail and ability to manage ongoing quality work with a high level of accuracy.  - Ability to learn new tools and workflows quickly and apply them effectively.  
• Clear and direct communication skills, with the ability to work across teams and with external partners.  - Demonstrated ability to take ownership of work, make informed decisions, and follow through independently.  
• Interest in AI, data quality, or technical systems. 
• Interest in growing into more technical or cross-functional roles over time.

• 1+ years of experience in data annotation or labeling within an automotive or autonomous vehicle environment. 
• Experience working with QA processes, tools (e.g., Labelbox or similar), and supporting process improvements.

Hybrid - Phantom AI follows this type of working experience to allow employees the flexibility to work weekly at the office 4x and from home 1x.

Phantom AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.