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Script Coverage Internship Jobs in Dublin, OH (NOW HIRING)

... coverage, retirement plans with generous company contributions, and a commitment to your overall ... Pipeline Support: Apply existing scripts and automated workflows to process data; identify ...

Script Coverage Internship information

See Dublin, OH salary details

$8

$17

$25

How much do script coverage internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for script coverage internship in Dublin, OH is $17.22, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $20.38 per hour, depending on experience, location, and employer.

What is a script coverage internship?

A Script Coverage Internship involves reading screenplays, TV scripts, or other written materials and providing structured feedback in the form of script coverage. This typically includes a summary, analysis of strengths and weaknesses, and a recommendation on whether the script should move forward in development. Interns gain hands-on experience in storytelling, industry standards, and what makes a script marketable. The role is common in production companies, talent agencies, and literary management firms, and is ideal for aspiring screenwriters, producers, or development executives.

What are the key skills and qualifications needed for a script coverage internship?

Strong analytical reading skills, attention to detail, and a background in film, literature, or creative writing are essential for a Script Coverage Internship. Familiarity with script formatting software like Final Draft and experience with coverage forms or databases are often required. Excellent written communication, time management, and the ability to provide constructive feedback help interns stand out. These abilities are crucial to efficiently evaluating scripts and providing insightful feedback to support development teams and producers.

What types of scripts will I typically review during a script coverage internship?

As a Script Coverage Intern, you can expect to read a variety of scripts, including feature-length screenplays, television pilots, and sometimes short films, spanning multiple genres. The exact slate may depend on the company's current projects and submissions, offering a mix of both produced writers and emerging talent. This diversity provides valuable exposure to industry standards and storytelling techniques, helping you develop a keen eye for what makes a script stand out. You'll often summarize plot points, evaluate strengths and weaknesses, and make recommendations for further consideration.

What cities near Dublin, OH are hiring for Script Coverage Internship jobs?

Cities near Dublin, OH with the most Script Coverage Internship job openings:

Infographic showing various Script Coverage Internship job openings in Dublin, OH as of July 2026, with employment types broken down into 10% Internship, 42% Full Time, and 48% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $35,812 per year, or $17.2 per hour.

Associate Data/ Metadata Analyst

OCLC, Inc.

Dublin, OH • On-site

Full-time

Medical, Retirement

Posted 26 days ago


Key responsibilities

  • Manage the lifecycle of bibliographic and holdings data, including ingestion, normalization, enrichment, and matching.

  • Assess data quality by profiling incoming data, identifying issues, and troubleshooting data quality problems.

  • Support technical workflows by applying scripts, monitoring data quality through dashboards, and utilizing AI-assisted tools for record matching and field mapping.


Job description

Together we make breakthroughs possible.
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
  • Free use of our on-site fitness center, gym sports, group exercise classes, and game room
  • Onsite catering and cafeteria subsidized by OCLC
  • Health and wellness events
  • Work environments with individual and team spaces and the latest technology tools
  • Paid parental leave and adoption assistance
  • Tuition reimbursement and Public Service Loan Forgiveness eligibility
  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings data, ensuring accuracy and integrity through evaluation, transformation, and maintenance. This entry-level role combines metadata expertise with developing technical skills in scripting, automation, and AI-assisted workflows. Working under regular supervision, the Associate will transition from executing well-defined tasks to taking ownership of complex data projects. This is an opportunity to develop expertise at the intersection of library data, modern data engineering, and emerging AI - in a team that invests in the growth of its people.
Responsibilities:
Data Operations & Quality
  • Data Lifecycle Management: Perform data ingest, normalization, enrichment, and matching according to established standards (e.g., MARC, KBART).
  • Quality Assessment: Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies.
  • Troubleshooting: Investigate and resolve data quality issues, escalating complex problems to senior staff as needed.
  • Vendor Communication: Coordinate with external data providers and partner institutions regarding routine data specifications and quality issues.
Technical Solutions & Automation
  • Pipeline Support: Apply existing scripts and automated workflows to process data; identify inefficiencies and suggest process improvements.
  • Data Visualization: Use and interpret dashboards (e.g., Power BI) to monitor data quality trends and communicate findings.
  • AI Integration: Utilize AI-assisted tools for record matching and field mapping; contribute structured feedback that helps improve AI model accuracy over time.
Collaboration & Documentation
  • Knowledge Management: Document data source profiles, processing decisions, and technical workflows to ensure team-wide knowledge sharing.
  • Team Support: Execute foundational tasks to support senior analysts and participate in platform improvement projects.

Minimum Required Knowledge, Skills and Experience:
  • Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data.
  • Entry-level analytical and communication skills, with attention to data quality while working under regular supervision.

Preferred Knowledge, Skills and Experience:
  • Metadata Standards: Foundational knowledge of MARC, Dublin Core, KBART, or BIBFRAME.
  • Technical Tools: Exposure to scripting languages (Python, SQL, or XSLT) and data transfer protocols (SFTP, APIs, or AWS S3).
  • Data Platforms: Conceptual familiarity with cloud data stores (e.g., Snowflake) and visualization tools (e.g., Power BI, Streamlit).
  • Emerging Tech: Interest in applying AI and linked data concepts (e.g., Schema.org) to library data challenges.

Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.