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Script Reading Jobs in Berkeley, CA (NOW HIRING)

Solutions Engineer

San Francisco, CA · Remote

$175K - $200K/yr

Build lightweight automations, workflows, scripts, or internal tools that help the team move faster ... By clicking "Apply for this Job", you acknowledge that you have read the California Candidate ...

Our technology reads game state in real time, powering a unified ecosystem across desktop, web, and ... Write scripts and small tools (Python, C#, whatever fits) that automate the repetitive parts of ...

Utilize existing call/email scripts and generate new call/email scripts to generate leads and ... Read WSJ and other financial news that pertains to activities in one's territory that triggers ...

... team needs - long-form, scripts, product copy, events, social, and anything in between ... read. * Partner with enterprise marketing to turn business goals and audience insight into copy ...

Write custom code, scripts, and integrations to solve complex customer implementation challenges ... read-me about the Interview Process at Socket. Benefits: Our benefits are crafted to support you ...

Utilize existing call/email scripts and generate new call/email scripts to generate leads and ... Read WSJ and other financial news that pertains to activities in one's territory that triggers ...

Some computer savvy - enough to read and lightly modify scripts, validate data flows, and partner effectively with software engineers when instrumentation or data pipelines need adjustment * Strong ...

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Script Reading information

See Berkeley, CA salary details

$121.8K

$140.8K

$158K

How much do script reading jobs pay per year?

As of Jun 8, 2026, the average yearly pay for script reading in Berkeley, CA is $140,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,600.00 and $150,000.00 per year, depending on experience, location, and employer.

What is script reading?

Script reading is the process of reviewing and analyzing scripts, typically for film, television, or theater, to assess their quality, structure, and potential for production. Script readers evaluate elements such as plot, character development, dialogue, and pacing, and often provide coverage or feedback reports for producers, agents, or studios. This role helps decision-makers determine which scripts are worth developing further. Script reading is an essential step in the entertainment industry, ensuring that only promising projects move forward.

What Are Script Reading Jobs?

A script reader's primary responsibilities are to read a screenplay for a movie or TV show, evaluate the content, and provide feedback on what works and what does not work. You examine all features in the script, including story, concept, dialogue, pacing, characters, structure, and marketability. Script reading is used for pilots to decide if an idea should move forward, to choose a rating, or to see if a particular writer is a good fit for a company. Your duties include reading, analyzing, and writing coverage or a summary. Your employer or supervisor uses this to decide whether to move the script forward or not. You can find script reading jobs through a studio, production company, or talent agency.

What is the difference between Script Reading vs Script Supervising?

AspectScript ReadingScript Supervising
Primary RoleReviewing and analyzing scripts for content, structure, and suitabilityOverseeing script continuity, consistency, and adherence during production
Required SkillsStrong analytical skills, understanding of storytelling, script formattingAttention to detail, organizational skills, knowledge of production processes
Work EnvironmentTypically office-based, script development teamsOn-set or production office during filming
Industry UsageUsed in development and pre-production phasesUsed during filming to ensure script accuracy

While both roles involve working with scripts, Script Reading focuses on analyzing and evaluating scripts during development, whereas Script Supervising involves maintaining script continuity and accuracy during production. Both roles require strong understanding of storytelling and script formatting, but they serve different stages of the filmmaking process.

What are some common challenges faced by script readers and how can they overcome them?

Script readers often face the challenge of reviewing a large volume of scripts under tight deadlines while maintaining objectivity and attention to detail. Balancing the need to quickly assess a script’s potential with the responsibility of providing thorough, insightful coverage can be demanding. To overcome these challenges, script readers develop efficient reading strategies, use structured coverage templates, and continuously refine their analytical skills. Collaborating with other readers and participating in feedback sessions can also help ensure consistent evaluations and professional growth.

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 strong analytical reading skills, a deep understanding of story structure, and familiarity with the film and television industry, often supported by a degree in film, writing, or a related field. Proficiency in script coverage formatting, screenplay software (like Final Draft), and knowledge of industry-standard evaluation criteria are typically required. Excellent written communication, attention to detail, and the ability to give constructive feedback are standout soft skills in this role. These skills ensure that script readers can effectively assess material, provide valuable insights, and support development teams in selecting promising projects.
What are popular job titles related to Script Reading jobs in Berkeley, CA? For Script Reading jobs in Berkeley, CA, the most frequently searched job titles are:
What cities near Berkeley, CA are hiring for Script Reading jobs? Cities near Berkeley, CA with the most Script Reading job openings:
Forward Deployed Engineer Intern

Forward Deployed Engineer Intern

Labelbox

San Francisco, CA

$50 - $70/hr

Other

Posted 8 days ago


Job description

About the role

As a Forward Deployed Engineer Intern, you will work alongside a senior FDE on real client engagements with leading AI labs. You will own concrete pieces of those engagements - writing scripts to process and analyze data, building automated quality checks, and helping validate that the data we deliver is good enough to ship. The work is hands-on, fast-paced, and rarely arrives with a complete spec.

This is not a shadowing internship. You will be expected to take ownership of your projects, work through ambiguity with your manager, and ship work that real clients depend on. If you do well, you will see your work translate directly into how frontier AI models are trained and evaluated.

About Labelbox

Labelbox builds the data infrastructure behind frontier AI development. We work with leading research labs and enterprises to produce the high-quality datasets used for evaluation, supervised fine-tuning, and reinforcement learning. The Frontier AI team you will be joining sits at the intersection of engineering and applied research, working directly with AI lab partners on some of the most demanding data problems in the industry.

What you'll do
  • Work alongside a senior FDE on live client engagements, owning specific workstreams end-to-end.
  • Write scripts to process, transform, and analyze data for client deliverables.
  • Build automated quality checks and serve as a second set of eyes on the data we ship.
  • Take ambiguous, partially-defined requirements and turn them into something concrete.
  • Read existing code, extend it, and improve it - most of what you build will plug into systems that already exist.
  • Drive your work forward without needing daily check-ins. Proactively share progress, flag blockers, and ask for input when you need it.
What we're looking for

We care more about how you think than about a specific list of credentials. The things below are what tend to make interns successful in this role:

  • Strong Python skills, especially for data work. You should be comfortable picking up a messy dataset and figuring out what is in it.
  • Familiarity with LLMs from hands-on experience, not just coursework. You have built something with them and have iterated on prompts to make them do what you want.
  • Strong analytical thinking. You can look at data, spot what is off, and ask the right questions about whether a result is real or noise.
  • Strong written and verbal communication. You can write a clear update, explain technical work to non-technical stakeholders, and ask a well-formed question when you are stuck.
  • You finish what you start. When you take on a task, you see it through to the end - including the parts that are not interesting.
  • Fast learner. The tools, frameworks, and benchmarks you will encounter change quickly. You pick them up without being walked through them.
  • High agency and ownership. You take responsibility for your work, push it forward without being prompted, and flag issues early rather than late.
Who you are
  • Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related technical field.
  • Genuinely curious about AI and how frontier models are built.
  • You like being the person who turns "we should look into this" into something concrete.
  • You work independently and communicate generously. You move fast on your own.
  • Receptive to feedback.
Why this role

FDE work at Labelbox is a spot where it spans engineering, research, and direct client work. As an intern, you will get exposure to all three - and to the kinds of problems that most engineering internships do not touch. You will work with people who care about getting the technical details right and who will give you the room to do the same.

Compensation

This is a paid internship with an hourly rate of $50-$70 per hour.