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Camera Intern Jobs in Michigan (NOW HIRING)

$12.75 - $17/hr

Tests and inspects camera equipment for effective operation. * Reviews alarm system printer for suspicious activity. * Participates in apprehension of those in violation of the law and assists in ...

Support hardware bring-up, bench testing, and validation of ECU prototypes including power supply circuits, microcontrollers, and sensor interfaces (camera, radar, LiDAR) * Perform electrical ...

Intern - Electrical Engineering

Southfield, MI · On-site

$17.50 - $23/hr

Support hardware bring-up, bench testing, and validation of ECU prototypes including power supply circuits, microcontrollers, and sensor interfaces (camera, radar, LiDAR) * Perform electrical ...

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Camera Intern information

See Michigan salary details

$7

$16

$32

How much do camera intern jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for camera intern in Michigan is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $18.85 per hour, depending on experience, location, and employer.

What typical responsibilities can I expect as a Camera Intern, and how much hands-on experience will I gain?

As a Camera Intern, your main responsibilities often include assisting camera operators with equipment setup and breakdown, managing cables and batteries, organizing gear, and supporting on-location or studio shoots. You will likely be given opportunities to handle cameras under supervision, observe professional filming techniques, and occasionally help with basic editing or footage logging tasks. While direct operation of main production cameras may be limited at first, proactive interns often earn increased responsibilities and valuable hands-on experience as they demonstrate reliability and eagerness to learn. The work environment is typically collaborative and fast-paced, offering many chances to interact with other crew members and learn from experienced professionals. This role provides a solid foundation for further growth in camera operation or other technical roles in film and media production.

What is a Camera Intern job?

A Camera Intern assists the camera department with setting up and operating camera equipment, maintaining gear, and supporting the crew during shoots. They may help with lighting, focus pulling, and other technical tasks to gain hands-on experience. This role provides an opportunity to learn about cinematography, equipment handling, and on-set protocols.

What are the key skills and qualifications needed to thrive in the Camera Intern position, and why are they important?

To thrive as a Camera Intern, you need a foundational understanding of camera operation, basic photography or videography concepts, and a keen eye for detail, often demonstrated through relevant coursework or a personal portfolio. Familiarity with digital cameras, stabilization equipment, and editing software such as Adobe Premiere or Final Cut Pro is highly beneficial. Strong communication, a willingness to learn, and the ability to follow directions under tight deadlines are key soft skills in this role. These attributes are crucial for supporting professional camera crews effectively, gaining hands-on industry experience, and contributing to high-quality productions.

What are the most commonly searched types of Camera jobs in Michigan? The most popular types of Camera jobs in Michigan are:
What are popular job titles related to Camera Intern jobs in Michigan? For Camera Intern jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Camera Intern jobs? Cities in Michigan with the most Camera Intern job openings:
Perception Intern

$14.75 - $19.75/hr

Other

Re-posted yesterday


Job description

Known for our innovative components, Mitsubishi Electric Automotive America manufactures autonomous-ready infotainment and ADAS solutions, premium audio systems, high-definition displays, and powertrain electronics for standard, electric, and hybrid vehicles. Since 1979 we have served the major automotive, heavy-duty truck, and coach manufacturers across the US, and continue to grow each year!   Be a part of a select team that is making a real impact on the automotive mobility of tomorrow! 

Summary

Work closely with experienced professionals in their chosen field to apply what is learned in the classroom to real-life work situations. Under supervision, they will assist team members or directly perform day-to-day departmental functions and projects. They will gain an enhanced understanding of their field and the automotive manufacturing industry, laying the foundation for a successful career. 
 

Responsibilities
  • Research, benchmark, and test implementations of state-of-the-art deep learning models for LiDAR-based object detection and segmentation.
  • Assist in improving LiDAR detection performance, particularly for complex surfaces, through literature review and experimental evaluation.
  • Support the implementation and evaluation of deep learning models for LiDAR point clouds (e.g., PointNet, PointNet++, and other 3D architectures).
  • Contribute to the development and assessment of perception algorithms that combine LiDAR and camera data under supervision.
  • Help collect, preprocess, and analyze camera and LiDAR data for model development and testing.
  • Experiment with open-source toolkits such as Open3D and PCL for point cloud processing and visualization.
  • Assist in creating scripts and small pipelines for data preparation and result analysis (using Python, NumPy, OpenCV, etc.).
  • Participate in code reviews, documentation, and team meetings to learn best practices in research and development.
  • Stay current with recent advancements in LiDAR perception and deep learning by reading and summarizing relevant scientific papers.

The above description represents the most significant essential duties of this position but does not exclude other occasional work assignments not mentioned.

Qualifications
  • Current enrollment in a Bachelor's, Master's, or Ph.D. program in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Coursework or project-based experience in computer vision, deep learning, or robotics.
  • Familiarity with at least one deep learning framework (e.g., PyTorch or TensorFlow).
  • Understanding of fundamentals in data analysis, 3D geometry, and point cloud processing.
  • Exposure to LiDAR data and/or related libraries (Open3D, PCL).
  • Programming experience in Python. Familiarity with C++ is an advantage.
  • Ability to conduct literature surveys and summarize technical concepts accessibly.
  • Strong problem-solving and communication skills, and enthusiasm for hands-on learning in a collaborative team environment.

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