Vehicle Operations Specialist - Autonomous Vehicle Data Collection
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Role details
Tech stack
Job description
- Systems Supervision: Monitor vehicle software systems while following all safety protocols, testing procedures, and traffic laws.
- Structured Testing: Execute specific test scenarios, such as navigating construction zones, roundabouts, dense traffic, heavy pedestrian areas, and other complex road environments.
- Data Logging & Reporting: Provide clear verbal and written feedback on vehicle behavior, edge cases, road conditions, and non-ideal system performance.
- Fleet Health: Complete pre-trip and post-trip vehicle inspections, including checking that sensors, cameras, LiDAR, and radar equipment are clean and operational.
- Engineering Collaboration: Work directly with software and hardware engineering teams to troubleshoot issues identified during shifts.
- Operational Safety: Maintain strong situational awareness during long periods of driving and follow defensive driving best practices at all times.
What You Bring to the Role
We’re looking for candidates who are calm, focused, reliable, and excited to support the future of autonomous vehicle technology.
Requirements
Do you have a valid Driver’s License license?, Do you have experience in Teamwork?, Do you have a High school diploma or GED?, * Clean Driving Record: A strong driving history with no major infractions in the last 5+ years and no more than 1 violation point.
- Tech Literacy: Comfort using software tools, navigating internal systems, and troubleshooting basic hardware or connectivity issues.
- High Focus: Strong situational awareness and the ability to stay alert during long periods of repetitive or highly detailed work.
- Clear Communication: Strong written English skills for reporting and clear verbal communication for real-time updates.
- Adaptability: Comfort working in a fast-changing environment where systems, software builds, and testing procedures may evolve frequently.
- Reliability: Consistent attendance, strong judgment, and the ability to follow procedures carefully., * High School Diploma or GED.
- Valid U.S. Driver’s License held for at least 5 years.
- Clean motor vehicle record.
- Ability to work flexible hours, including nights and weekends as needed.
- Ability to pass a background check, drug screen, and motor vehicle record check.
- Ability to work onsite in San Francisco.
- Comfort sitting in a vehicle for extended periods of time.
Preferred Qualifications
- Bachelor’s degree in a technical field or equivalent hands-on experience.
- Experience in autonomous vehicles, fleet operations, precision driving, delivery, rideshare, valet, commercial driving, or field testing.
- Experience testing complex hardware/software systems.
- Experience with data collection, structured testing, or troubleshooting workflows.
- Knowledge of vehicle dynamics, basic automotive mechanics, sensors, or vehicle systems.
- Genuine interest in autonomous vehicles, robotics, transportation technology, or AI.
Physical Requirements
- Ability to sit in a vehicle for up to 6-8 hours per day.
- Ability to lift up to 30 lbs, such as moving sensor calibration equipment or vehicle-related tools.
- Clear vision and hearing, with or without corrective wear or aids, to monitor road conditions, system cues, and environmental surroundings., * Clear background check and drug screen
- Valid U.S. Driver’s License for at least 5 years.
Education:
- High school or equivalent (Preferred)
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- Vision insurance
- Dental insurance
- Flexible spending account
- Life insurance
- Disability insurance, Candidates will begin on a Monday-Friday, 9:00 AM-5:00 PM schedule during the first week of training. After training, candidates may move into one of the following shifts:
- AM Shift: 6:00 AM-2:30 PM
- PM Shift: 2:00 PM-10:30 PM
Pay
The pay range is $24-$30/hour, based on experience.
- Level I: $24-$26/hour
- Level II: $26-$28/hour
- Level III: $28-$30/hour
Final pay is determined during the offer process based on experience and role fit., This is a W2 contract role through HireArt. Benefits may include:
- Weekly pay
- Health, dental, and vision insurance
- Pre-tax commuter benefits
- Flexible Spending Account options
- Short-term and long-term disability coverage
- Life insurance
- 401(k)
Interview Process
The interview process includes:
- Resume review
- Recruiter qualification call
- 30-minute virtual interview with Pronto.ai / Atoms
- 30-minute onsite drive test interview in San Francisco
- Offer decision
Why Join Us?
You’ll play a hands-on role in advancing autonomous vehicle technology through real-world testing, safety-focused operations, and direct collaboration with engineering teams.
This is a strong opportunity for someone who wants to move beyond a traditional driving role and gain experience in autonomous vehicles, robotics, field testing, and technical operations.
Pronto.ai is an equal opportunity employer and is committed to creating an inclusive environment for all employees.
Pay: $24.00 - $30.00 per hour, * 401(k)
- Dental insurance
- Flexible spending account
- Health insurance
- Life insurance
- Vision insurance
About the company
Pronto.ai, part of Atoms, is building autonomous technology designed to make mobility safer, more reliable, and more scalable.
As a Vehicle Operations Specialist for on-road testing, you’ll be the link between advanced AI systems and the unpredictability of real-world driving. This is not simply a driving job. It is a technical operations role that requires the focus of a pilot, the judgment of a defensive driver, and the attention to detail of a tester.
You will operate vehicles equipped with proprietary technology, collect real-world driving data, monitor system behavior, and provide clear feedback to engineering teams to help improve the safety, performance, and reliability of the fleet.
Core Responsibilities
Your day-to-day work involves more than sitting behind the wheel. You’ll support on-road testing as both a safety-focused driver and a hands-on systems observer.
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