1

Drone Data Processing Jobs in California (NOW HIRING)

Support flight testing , data collection, and troubleshooting for new drone systems. * Work closely ... As part of the hiring and/or promotion process, we provide Covey with job requirements and ...

Internships & Co-ops

South San Francisco, CA ยท On-site

$18.25 - $24/hr

... drone motors and robotic actuators. * Support operations with process improvements, inventory ... Basic knowledge of relevant tools or software (CAD, Excel, data analysis, etc.) preferred but not ...

Internships & Co-ops

South San Francisco, CA ยท On-site

$18.25 - $24/hr

... drone motors and robotic actuators. * Support operations with process improvements, inventory ... Basic knowledge of relevant tools or software (CAD, Excel, data analysis, etc.) preferred but not ...

Support flight testing , data collection, and troubleshooting for new drone systems. * Work closely ... Requests for accommodation related to our application process can be directed to the Kelly Human ...

Manufacturing Intern

South San Francisco, CA ยท On-site

$20.50 - $26.75/hr

... of drone motors and robotic actuators. * Assist with assembly, process documentation, and ... Basic knowledge of relevant tools or software (CAD, Excel, data analysis, etc.) preferred but not ...

Manufacturing Intern

South San Francisco, CA ยท On-site

$20.50 - $26.75/hr

... of drone motors and robotic actuators. * Assist with assembly, process documentation, and ... Basic knowledge of relevant tools or software (CAD, Excel, data analysis, etc.) preferred but not ...

Support flight testing , data collection, and troubleshooting for new drone systems. * Work closely ... Requests for accommodation related to our application process can be directed to the Kelly Human ...

next page

Showing results 1-20

Drone Data Processing information

See California salary details

$12

$20

$34

How much do drone data processing jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for drone data processing in California is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Drone Data Processing position, and why are they important?

To thrive in Drone Data Processing, expertise in geospatial analysis, image processing, and proficiency in data management are crucial, often supported by a background in GIS, remote sensing, or a related field. Familiarity with software such as Pix4D, DroneDeploy, Agisoft Metashape, as well as certifications in drone piloting or GIS are typically required. Attention to detail, problem-solving, and strong communication skills help professionals excel in collaborating with field teams and translating data into actionable insights. These skills are vital to ensure accurate, efficient data interpretation that supports business, construction, or environmental decision-making.

What are the typical daily responsibilities for a Drone Data Processing specialist?

A Drone Data Processing specialist typically spends their day uploading and organizing raw drone-captured imagery, processing datasets to create accurate maps, models, or reports, and conducting quality assurance checks to ensure data integrity. The role often involves collaborating with drone pilots, project managers, and technical teams to clarify project objectives and deliverables. Specialists may also troubleshoot software or data issues, document workflows, and present findings to clients or stakeholders. This dynamic work environment requires both technical acumen and communication skills to convert aerial data into valuable, actionable insights.

What is a Drone Data Processing job?

A Drone Data Processing job involves collecting, analyzing, and interpreting data captured by drones for various applications such as mapping, agriculture, construction, and inspections. Professionals in this field use specialized software to process aerial images, generate 3D models, and extract insights from the data. The role requires expertise in GIS, photogrammetry, and data management to ensure accurate and actionable results.

What job categories do people searching Drone Data Processing jobs in California look for? The top searched job categories for Drone Data Processing jobs in California are:
What cities in California are hiring for Drone Data Processing jobs? Cities in California with the most Drone Data Processing job openings:
Infographic showing various Drone Data Processing job openings in California as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $41,601 per year, or $20 per hour.
Autonomy Engineer - ML & DL Infrastructure

Autonomy Engineer - ML & DL Infrastructure

Skydio, Inc

San Mateo, CA โ€ข On-site

$170K - $277K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago


Job description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
About the Role:
Skydio is the leading US drone company and the world leader in autonomous flight. We leverage breakthrough AI to create the world's most intelligent flying machines for use by our enterprise, public safety, defense and other customers. Learning a semantic and geometric understanding of the world from best-in-class visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with deep networks, AI and ML to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users.
If you are excited about leveraging massive amounts of structured video data to solve open problems in object detection and tracking, optical flow estimation and segmentation, we would love to hear from you. As a deep learning infrastructure engineer, you will be responsible for building and scaling the infrastructure that supports Skydio's DL and AI training efforts. You will be working at the nexus of Skydio's autonomy and cloud teams to deliver new capabilities and empower AI/ML solutions at Skydio.
How You'll Make an Impact:
  • Design and implement scalable, extensible, interactive data pipelines and annotation workflows
  • Build tools that leverage state-of-the-art machine learning systems for efficient data exploration and curation across the fleet of Skydio drones
  • Design and implement pipelines for data ingestion, versioning, model training, deployment and monitoring
  • Optimize and scale deep learning training workflows to improve team iteration velocity
  • Leverage your expertise and best-practices to uphold and improve Skydio's engineering standards

What Makes You a Good Fit:
  • Demonstrated hands-on experience with data engineering and building large scale, performant and efficient data processing pipelines
  • Demonstrated hands-on experience with cloud-based ML platforms, containerization technologies, ML Ops platforms and databases
  • Experience and understanding of security and compliance requirements in ML infrastructure
  • Demonstrated hands-on experience building and managing ML pipelines including data preparation, model training, model deployment and monitoring
  • You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
  • You are comfortable navigating and delivering within a complex codebase
  • Strong communication skills and the ability to collaborate effectively at all levels of technical depth
  • Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.

Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - 277,500*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria.
*Compensation for certain positions may vary based on the position's location.
#LI-SM1
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/