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Script Reader Intern Jobs in Michigan (NOW HIRING)

Mitsubishi Electric Automotive

Perception Intern

Detroit, MI · On-site

$14.75 - $19.75/hr

... scripts and small pipelines for data preparation and result analysis (using Python, NumPy, OpenCV ... Stay current with recent advancements in LiDAR perception and deep learning by reading and ...

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Script Reader Intern information

See Michigan salary details

$17.4K

$33.2K

$50.6K

How much do script reader intern jobs pay per year?

As of Jul 22, 2026, the average yearly pay for script reader intern in Michigan is $33,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,200.00 and $40,500.00 per year, depending on experience, location, and employer.

What is a Script Reader Intern job?

A Script Reader Intern reviews and analyzes screenplays for production companies, agencies, or studios. Their main task is to write coverage, which includes a summary and critical assessment of the script’s strengths and weaknesses. This helps executives decide which scripts to develop. Interns gain hands-on experience in storytelling, industry trends, and script evaluation. This role is ideal for aspiring screenwriters, development executives, or anyone interested in film and TV production.

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

To thrive as a Script Reader Intern, you need strong analytical reading skills, a solid understanding of screenplay structure, and often a background or coursework in film, media, or writing. Familiarity with industry-standard formatting software such as Final Draft or Celtx is beneficial, though formal certification is not typically required. Excellent written communication, time management, and attention to detail help interns effectively evaluate scripts and convey feedback. These skills are essential for producing clear, insightful coverage that informs industry professionals' decision-making processes.

What are typical daily tasks and how does a Script Reader Intern contribute to the development process?

Script Reader Interns typically spend their days reading and evaluating scripts, writing coverage reports that include summaries and critical analysis, and sometimes participating in team meetings to discuss promising projects. They often collaborate with development executives or producers by providing objective feedback and helping to identify scripts with strong potential. This hands-on experience gives interns valuable insight into how projects are selected for further development and allows them to develop key industry skills. Being proactive and detail-oriented also opens up opportunities for growth into story analysis or development roles.

What are the most commonly searched types of Script Reader jobs in Michigan? The most popular types of Script Reader jobs in Michigan are:
What are popular job titles related to Script Reader Intern jobs in Michigan? For Script Reader Intern jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Script Reader Intern jobs in Michigan look for? The top searched job categories for Script Reader Intern jobs in Michigan are:
What cities in Michigan are hiring for Script Reader Intern jobs? Cities in Michigan with the most Script Reader Intern job openings:
Script Reader Intern jobs near you
Infographic showing various Script Reader Intern job openings in Michigan as of June 2026, with employment types broken down into 28% Internship, 18% Full Time, and 54% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $33,210 per year, or $16 per hour.
Perception Intern

Perception Intern

Mitsubishi Electric Automotive America

Detroit, MI

$14.75 - $19.75/hr

Other

Posted 10 days ago

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.

To the extent that such laws prohibit discrimination and harassment, MEAA shall not discriminate against any applicant, associate, vendor, contractor, customer, or client on the basis of age, race, color, religion, creed, ancestry, national origin, citizenship status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, physical or mental disability, medical condition (as defined by applicable law), genetic information, military or veterans' status or any other basis prohibited by law. 
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Applicants with a disability who need assistance with the application process may contact Human Resources by email at employment@meaa.mea.com or by calling 1-800-275-5077.

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