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Script Reader Jobs in Colorado Springs, CO (NOW HIRING)

Software Engineer

Colorado Springs, CO · On-site

$130K - $145K/yr

Ability to read/write script level or integration code using Python, C# or other development language. * Ability to design efficient data pipelines, manage databases (SQL and NoSQL) * SATCOM ...

Ability to read/write script level or integration code using Python, C# or other development language. * Ability to design efficient data pipelines, manage databases (SQL and NoSQL) * SATCOM ...

Ability to read/write script level or integration code using Python, C# or other development language. * Ability to design efficient data pipelines, manage databases (SQL and NoSQL) * SATCOM ...

Ability to read/write script level or integration code using Python, C# or other development language. * Ability to design efficient data pipelines, manage databases (SQL and NoSQL) * SATCOM ...

Concierge, FT

Colorado Springs, CO · On-site

$16 - $18/hr

... designated script 20% - Transferring incoming calls or take and deliver appropriate messages 20 ... read English - Ability to operate computer, necessary software programs ( word, email, excel ...

Concierge, FT

Colorado Springs, CO · On-site

$16 - $18/hr

... designated script 20% - Transferring incoming calls or take and deliver appropriate messages 20 ... read English - Ability to operate computer, necessary software programs ( word, email, excel ...

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Script Reader information

See Colorado Springs, CO salary details

$11

$19

$32

How much do script reader jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for script reader in Colorado Springs, CO is $19.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.30 per hour, depending on experience, location, and employer.

What is a script reader?

Script Readers are professionals who review screenplays, teleplays, or other written scripts to evaluate their potential for production. They provide coverage, which is a detailed report that includes a summary, analysis, and recommendation about the script's strengths and weaknesses. Script Readers play a crucial role in helping studios, production companies, and agencies decide which projects to pursue. Their feedback can influence whether a script moves forward in the development process or is passed over.

What does a script reader do?

As a script reader, your primary duties are to read, review, and provide coverage analysis and detailed notes of scripts. Typically, when a writer sends an agent or a studio a new screenplay, it is first screened by a script reader. Your responsibilities are to assess whether the script may be a viable film option for the agent or producer. You may choose to reject the screenplay or send the script to the agent or producer. If you work at an agency, the ultimate goal is either for the agent to sign the screenwriter and sell the script, or for the agent to attach their own talent to the screenplay and persuade a producer or studio to make the film. At a studio, the producer advocates for the script rather than the agent.

What are the key skills and qualifications needed to thrive as a script reader, and why are they important?

To thrive as a Script Reader, you need a strong background in storytelling, critical analysis, and often a degree in film, literature, or a related field. Familiarity with industry-standard script formatting software (like Final Draft) and coverage templates is commonly required. Exceptional written communication, attention to detail, and a keen sense for narrative structure and character development are standout soft skills. These abilities are essential for providing insightful script coverage and helping producers identify promising projects.

What are some common challenges faced by script readers, and how can they be managed?

Script readers often face the challenge of managing a high volume of scripts while maintaining objectivity and providing detailed, constructive feedback. Staying organized and developing a clear evaluation checklist can help ensure consistency and efficiency. Additionally, balancing time between reading, analyzing, and writing coverage is crucial, as deadlines are often tight. Networking within the industry and regularly discussing scripts with colleagues can provide valuable perspective and prevent burnout.

What is the difference between Script Reader vs Script Supervisor?

AspectScript ReaderScript Supervisor
Required credentialsFilm/TV writing or related experience, sometimes a degree in film or screenwritingExperience in film/TV production, often with a background in editing or continuity
Work environmentOffice, studio, or production company; primarily reading and evaluating scriptsOn-set during filming, overseeing continuity and script adherence
Employer and industry usageStudios, production companies, agencies, and independent filmmakersFilm and TV production sets, studios, and post-production facilities
Common search and comparison intentUnderstanding script evaluation rolesUnderstanding on-set roles related to script management

The main difference is that a Script Reader reviews and evaluates scripts to advise on their potential, while a Script Supervisor manages continuity and script details during filming. Both roles are essential in the production process but serve different functions within the industry.

What are the most commonly searched types of Script Reader jobs in Colorado Springs, CO?

The most popular types of Script Reader jobs in Colorado Springs, CO are:

What are popular job titles related to Script Reader jobs in Colorado Springs, CO?

For Script Reader jobs in Colorado Springs, CO, the most frequently searched job titles are:

What job categories do people searching Script Reader jobs in Colorado Springs, CO look for?

The top searched job categories for Script Reader jobs in Colorado Springs, CO are:

What cities near Colorado Springs, CO are hiring for Script Reader jobs?

Cities near Colorado Springs, CO with the most Script Reader job openings:

Infographic showing various Script Reader job openings in Colorado Springs, CO as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 12% Part Time, 1% Temporary, and 11% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $40,481 per year, or $19.5 per hour.

Data Scientist - Signal Analysis

Colorado Springs, CO

Assertive Professionals
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Key responsibilities

  • Conduct data science functions on structured and unstructured data to streamline intelligence analysis and production.

  • Develop and maintain Python code to support mission requirements, including debugging, refactoring, and documenting scripts.

  • Identify meaningful insights from data, interpret findings, and communicate recommendations to stakeholders.


Job description

Assertive Professionals is seeking a Data Scientist supporting our National Security customer in Colorado Springs, CO.

This is a proposed position, we are offering a salary of $160,000 with a $2,000 sign-on bonus, or reimbursable relocation.

This is a great opportunity to work for an employee-centric, fast-growing small business. We offer an excellent benefits package, including PTO (accrual rates vary by contract and customer requirements), 401(k) Match at 5%, Profit Sharing, Company-paid Life Insurance, Dental, Vision, STD/LTD, and two options under a national medical plan with employee contribution.There is an additional $1,200 annual corporate bonus for time and attendance compliance!

Responsibilities Include:

This position is responsible for conducting data science functions on structured and unstructured data to streamline intelligence analysis and production. The data scientist will work to enrich analytical results and will develop and maintain Python code in support of mission requirements.

Required Experience and Qualifications:

  • TS/SCI w/ CI Poly
  • 7 years of relevent experience
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or JupyterLabs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, querytechniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  •  Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  •  Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.