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Script Development Intern Jobs in Connecticut (NOW HIRING)

Support development of agentic AI applications using frameworks such as LangGraph, LangChain, or ... Experience building software projects, APIs, applications, automation scripts, or backend services.

Script Development Intern information

See Connecticut salary details

$8

$16

$23

How much do script development intern jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for script development intern in Connecticut is $16.21, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $18.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Script Development Intern, and why are they important?

To thrive as a Script Development Intern, you need a solid understanding of storytelling, screenplay structure, and script analysis, often supported by coursework in film, media, or creative writing. Familiarity with industry-standard screenwriting software like Final Draft and knowledge of script coverage formats are typically required. Strong communication, time management, and constructive feedback skills help you collaborate effectively and contribute to script improvement. These abilities are crucial for supporting the creative process, ensuring clear project communication, and meeting the fast-paced demands of film and television development.

What is the difference between Script Development Intern vs Script Writer?

AspectScript Development InternScript Writer
Required CredentialsTypically pursuing or recent graduate in film, media, or related fieldsProfessional experience or portfolio; often self-taught or with formal training
Work EnvironmentInternship setting, often in production companies or studiosFull-time or freelance, working on specific projects or scripts
Industry UsageEntry-level role for gaining experience in script creation and developmentProfessional role responsible for writing scripts for media, film, or TV

The Script Development Intern typically focuses on learning and assisting in the script creation process within a production environment, while the Script Writer is a professional responsible for producing complete scripts. Interns gain experience and mentorship, whereas Script Writers are hired for their expertise to produce final content.

What is a Script Development Intern?

A Script Development Intern is an entry-level position in the film or television industry where individuals assist development executives and producers in evaluating, researching, and shaping scripts. Their responsibilities typically include reading screenplays, writing script coverage, conducting research, and providing feedback on story ideas. This role offers valuable insight into the creative process behind producing film and TV projects and helps interns build essential industry connections. It's an ideal position for those interested in screenwriting, producing, or script analysis.

What are some typical responsibilities of a Script Development Intern, and how do they contribute to the overall production process?

As a Script Development Intern, you'll often be responsible for reading and evaluating scripts, providing coverage and feedback, conducting research to support story development, and assisting with administrative tasks such as tracking submissions or organizing meetings. These tasks are essential in helping development teams identify promising projects and shape scripts into production-ready drafts. By offering fresh perspectives and supporting the workflow, interns play a vital role in streamlining the script selection and revision process, often collaborating closely with writers, producers, and development executives.
What cities in Connecticut are hiring for Script Development Intern jobs? Cities in Connecticut with the most Script Development Intern job openings:
Agentic AI Developer Intern

Agentic AI Developer Intern

JobTarget

Stamford, CT • On-site

$27 - $30/hr

Internship

This job post has expired today. Applications are no longer accepted.


Job description

Job Description
JobTarget is a leading company in the online job search and recruiting industry. Our team is comprised of experts in recruitment, e-commerce, and online job search. Our products are used by thousands of corporate recruiters and reach millions of job seekers. The company values work-life balance, rewarding risk and creativity, and an open culture. driven, and open-minded. We're perpetually searching for ways to make the job search process better, so if you're up for the challenge, apply, and let's make it better together.
The Opportunity
We are looking for a motivated Generative AI Developer Intern to join our AI Engineering Team. In this role, you will help design, build, test, and improve AI-powered applications and internal tools using modern software engineering practices. You will work closely with software engineers, AI/ML engineers, product managers, and data teams to develop prototypes, integrate large language models, build APIs, evaluate model outputs, and contribute to production-quality AI features. This internship is ideal for students or recent graduates with a strong computer science background, solid coding skills, and an interest in building practical applications using generative AI technologies. Must be able to work at least 30 hours a week.
Responsibilities
  • Develop and maintain AI-powered software features, prototypes, and internal tools.
  • Write clean, efficient, and well-documented code in Python or another modern programming language.
  • Integrate large language models and AI APIs into applications, workflows, or backend services.
  • Assist in building retrieval-augmented generation, prompt workflows, model evaluation pipelines, and AI agent workflows.
  • Support development of agentic AI applications using frameworks such as LangGraph, LangChain, or similar tools.
  • Collaborate with engineers to design APIs, services, and data flows that support AI applications.
  • Test, debug, and improve AI system behavior, including accuracy, reliability, latency, and usability.
  • Participate in code reviews, unit testing, documentation, and deployment activities.
  • Help evaluate AI outputs for quality, consistency, safety, and business usefulness.
  • Work with structured and unstructured data, including text, documents, logs, or user-generated content.
  • Stay current with emerging AI development tools, frameworks, and best practices.

Required Qualifications
  • Currently pursuing a Bachelor's or Master's degree (preferred) in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
  • Strong programming skills in Python, JavaScript/TypeScript, Java, or a similar language.
  • Solid understanding of data structures, algorithms, object-oriented programming, and software engineering fundamentals.
  • Experience building software projects, APIs, applications, automation scripts, or backend services.
  • Familiarity with REST APIs, JSON, Git, and basic cloud or deployment concepts.
  • Strong analytical and problem-solving skills.
  • Ability to learn quickly, communicate clearly, and work well in a collaborative engineering environment.

Preferred Qualifications
  • Experience with generative AI tools, LLM APIs, or AI application frameworks.
  • Familiarity with tools or concepts such as: OpenAI, Anthropic, Gemini, Azure OpenAI, or similar LLM platforms LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar AI application frameworks
  • AI agents, multi-step workflows, tool calling, memory, routing, or orchestration patterns
  • Vector databases such as Pinecone, Weaviate, Chroma, FAISS, or pgvector
  • Retrieval-augmented generation, embeddings, prompt engineering, or model evaluation
  • FastAPI, Flask, Node.js, React, or similar application frameworks
  • Docker, CI/CD, cloud platforms, or basic DevOps workflows
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP, automation, or software development.
  • Interest in responsible AI, model evaluation, privacy, security, and safe AI deployment.

What You'll Learn
  • How to build real-world generative AI applications and AI-powered developer tools.
  • How to integrate LLMs into software systems using APIs, embeddings, retrieval, and evaluation workflows.
  • How to design AI agent workflows using tools such as LangGraph and related frameworks.
  • Best practices for writing production-quality code for AI applications.
  • How to test and improve AI system reliability, accuracy, and performance.
  • How AI engineering teams collaborate across product, data, software, and infrastructure functions.
  • Practical exposure to modern AI development frameworks, cloud tools, and deployment practices.

Hourly pay range: $27.00 - $30.00. JobTarget is an equal-opportunity employer.
Job Requirements