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Junior Camera Operator Jobs in California (NOW HIRING)

Senior Robot Perception Engineer

Irvine, CA · On-site +1

$70K - $300K/yr

In this role, you will lead development of the perception stack for robots operating in ... Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR ...

Senior Robot Perception Engineer

Irvine, CA · On-site

$70K - $300K/yr

In this role, you will lead development of the perception stack for robots operating in ... Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR ...

Perception Engineer

San Francisco, CA · On-site

$130K - $170K/yr

We're a small team of engineers, former US military operators, and subject matter experts scaling ... Author clear technical docs; mentor junior engineers on best practices in vision, sensor‑fusion ...

Showing results 41-60

Junior Camera Operator information

See California salary details

$13

$27

$61

How much do junior camera operator jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for junior camera operator in California is $27.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $30.14 per hour, depending on experience, location, and employer.

What is a junior camera operator?

Junior Camera Operators are entry-level professionals responsible for assisting in the operation of cameras during film, television, or live event productions. They typically work under the supervision of senior camera operators or directors of photography, helping to set up equipment, maintain cameras, and ensure shots are framed and focused correctly. Their role may also include moving equipment, changing lenses, and troubleshooting technical issues on set. This position is ideal for individuals looking to gain hands-on experience in the camera department and build a career in cinematography.

What are the key skills and qualifications needed to thrive as a junior camera operator, and why are they important?

To thrive as a Junior Camera Operator, you need a solid understanding of camera equipment, framing techniques, and basic cinematography, often supported by relevant coursework or hands-on experience. Familiarity with camera systems (such as ARRI, RED, or Sony models), video editing software, and sometimes certification in camera operation are highly beneficial. Attention to detail, teamwork, and strong communication skills set standout operators apart in fast-paced production environments. These competencies ensure high-quality footage, smooth collaboration on set, and reliable technical support for the production team.

What are the typical challenges a junior camera operator might face on set, and how can they overcome them?

Junior Camera Operators often encounter challenges such as adjusting quickly to last-minute changes in shot lists, working under time pressure, and collaborating with senior crew members. Learning to communicate effectively with the director of photography and other team members can help clarify expectations and avoid misunderstandings. Staying organized, being adaptable, and proactively seeking feedback are key to managing these challenges and building confidence on set.

What is the difference between Junior Camera Operator vs Camera Assistant?

AspectJunior Camera OperatorCamera Assistant
Required CredentialsBasic camera operation training, sometimes a relevant diplomaTechnical knowledge of camera equipment, certifications often preferred
Work EnvironmentOn-set camera operation, assisting in filming scenesSupporting camera setup, maintenance, and equipment management
Industry UsageFilm, television, commercial productionsFilm, TV, live events, often working closely with camera crews

The Junior Camera Operator and Camera Assistant roles both involve working with camera equipment in film and television production. While the Junior Camera Operator primarily focuses on operating cameras under supervision, the Camera Assistant handles equipment setup, maintenance, and support tasks. Both positions require technical knowledge and are essential parts of a production team, but they differ in responsibilities and focus areas.

Do junior camera operators make good money?

Junior camera operators typically earn entry-level wages that vary by location and industry, with salaries often ranging from minimum wage to around $30,000 annually. Experience, technical skills, and the type of production can influence earning potential, and some may supplement income through freelance work or overtime. Overall, the pay is generally modest compared to more senior roles in the field.

How do I get into the junior camera operator?

To become a junior camera operator, you typically need a high school diploma or equivalent and some experience with camera equipment, often gained through internships, film school, or related training programs. Developing skills in camera operation, understanding shot composition, and familiarity with equipment like camcorders and DSLRs are important, along with a willingness to work flexible hours on set or in production environments.

What are the most commonly searched types of Camera Operator jobs in California?

The most popular types of Camera Operator jobs in California are:

What are popular job titles related to Junior Camera Operator jobs in California?

For Junior Camera Operator jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Junior Camera Operator jobs?

Cities in California with the most Junior Camera Operator job openings:

Infographic showing various Junior Camera Operator job openings in California as of August 2026, with employment types broken down into 51% Full Time, 47% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $57,816 per year, or $27.8 per hour.

Senior Robot Perception Engineer

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Re-posted 8 days ago


Job description

Who are We?
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Learn more at https://fieldai.com.
About the Job
At FieldAI, we're building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We're looking for a Senior Robotics Perception Engineer to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You'll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers.
What You Will Do
1. Build and Maintain Perception Systems
  • Design, implement, and maintain perception systems for autonomous robots operating in real-world environments.
  • Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions.
  • Continuously evaluate and improve perception performance through testing, iteration, and field validation.
2. Develop and Integrate Sensor-Based Perception
  • Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors.
  • Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve.
  • Ensure perception software operates reliably across simulation and real-world deployments.
3. Deploy Perception Software on Real Robots
  • Bring perception algorithms from development to deployment on physical robotic systems.
  • Debug and resolve issues discovered during on-robot testing and field operations.
  • Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack.
4. Improve System Robustness and Scalability
  • Contribute to code quality, testing, and long-term maintainability of perception systems.
  • Develop tools, metrics, and tests to monitor performance and catch regressions over time.
  • Help scale perception solutions across multiple robots, environments, and missions.
5. Collaborate Across Teams
  • Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions.
  • Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders.
  • Support field operations and customer demonstrations by ensuring perception systems are production-ready.

What You Have
  • PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience.
  • Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems.
  • Hands-on experience developing and deploying perception software in field robotics environments (not just simulation).
  • Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems.
  • Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc).
  • Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance.
  • Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures.
  • Strong problem-solving skills and ability to operate independently in fast-moving, small teams.

The Extras That Set You Apart
  • Experience with thermal, LWIR, or multispectral passive sensing for robotic perception.
  • Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups).
  • Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems.
  • Experience aligning or unifying perception stacks across multiple platforms or product lines.
  • Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers.
  • Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices.

$70,000 - $300,000 a year
Compensation
The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Modelsâ„¢ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.