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Remote Animation Script Writing Jobs in San Francisco, CA

Strong written and verbal communication skills * Experience with remote work and comfort working in ... Providing clear and timely direction to Field Team regarding needed scripts, lists, trainings and ...

Strong written and verbal communication skills * Experience with remote work and comfort working in ... Providing clear and timely direction to Field Team regarding needed scripts, lists, trainings and ...

Creative Strategist

San Francisco, CA · On-site +1

$145K - $170K/yr

This is a remote role open to candidates based in the United States, with a strong preference for ... Write platform-native UGC scripts and collaborate with creators, talent, and editors to ensure ...

Analyst, IT Applications

Dublin, CA · Remote

$81K - $136K/yr

Write and support Python scripts for basic data processing, integration, and validation tasks ... This position may be performed remotely anywhere within the United States. #LI-Remote SUPERVISORY ...

This is a remote role open to candidates based in the United States, with a strong preference for ... Write platform-native UGC scripts and collaborate with creators, talent, and editors to ensure ...

This is a remote role open to candidates based in the United States, with a strong preference for ... Write platform-native UGC scripts and collaborate with creators, talent, and editors to ensure ...

Help administer, pilot, and monitor remote psychophysiological fear-conditioning paradigms ... Excellent interpersonal, written, and verbal communication skills. * Demonstrated interest in ...

Showing results 21-40

Remote Animation Script Writing information

See San Francisco, CA salary details

$12

$46

$82

How much do remote animation script writing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote animation script writing in San Francisco, CA is $46.43, according to ZipRecruiter salary data. Most workers in this role earn between $25.77 and $75.34 per hour, depending on experience, location, and employer.

What is remote animation script writing?

Remote animation script writing involves creating scripts for animated productions, such as TV shows, movies, or web series, while working from a location outside of a traditional studio environment. Writers collaborate with directors, animators, and producers through digital communication tools to develop storylines, dialogue, and scene directions tailored for animation. This role requires strong storytelling skills, an understanding of animation pacing, and the ability to adapt scripts for visual storytelling. Working remotely offers flexibility but also demands self-discipline and effective communication to meet project deadlines.

How do remote animation script writers typically collaborate with animation teams during the production process?

Remote animation script writers usually work closely with directors, storyboard artists, and producers through virtual meetings, cloud-based script editing tools, and messaging platforms. Effective communication is essential to ensure the script aligns with the project's visual style and pacing. Writers often participate in feedback sessions, making revisions based on team input and adapting to changes in storyboards or animation direction. Building strong, proactive relationships with creative team members helps maintain a smooth workflow despite the physical distance.

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

To thrive as a Remote Animation Script Writer, you need strong storytelling abilities, a solid grasp of script formatting, and experience in animation writing, often supported by a degree in creative writing, film, or a related field. Familiarity with industry-standard screenwriting software like Final Draft or Celtx is typically required. Creativity, self-motivation, and effective remote communication skills help writers collaborate with animation teams and adapt to feedback. These skills ensure scripts are engaging, production-ready, and align with the creative vision, which is crucial for successful animated projects.

What is the difference between Remote Animation Script Writing vs Remote Storyboarding?

AspectRemote Animation Script WritingRemote Storyboarding
Required skillsWriting, storytelling, script developmentVisual storytelling, drawing, scene planning
Work environmentCollaborative with writers and animatorsVisual artists, animators, directors
Industry usageFilm, TV, online content, advertisingAnimation, film production, advertising

Remote Animation Script Writing involves creating dialogue and story structure for animations, focusing on narrative flow. Remote Storyboarding involves visualizing scenes through sketches, planning camera angles and scene composition. Both roles often collaborate but differ in their focus: one on writing, the other on visual planning. Understanding these differences helps employers and freelancers identify the right role for their project needs.

What are the most commonly searched types of Animation Script Writing jobs in San Francisco, CA?

The most popular types of Animation Script Writing jobs in San Francisco, CA are:

What are popular job titles related to Remote Animation Script Writing jobs in San Francisco, CA?

For Remote Animation Script Writing jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Animation Script Writing jobs in San Francisco, CA look for?

The top searched job categories for Remote Animation Script Writing jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Animation Script Writing jobs?

Cities near San Francisco, CA with the most Remote Animation Script Writing job openings:

Customer Reliability Engineer

Andromeda Cluster, Inc

San Francisco, CA • On-site, Remote

$120K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Customer Reliability Engineer
Location: Remote/SF-Hybrid • Full-Time
About Andromeda
Andromeda gives AI companies access to the kind of scaled compute once reserved for hyperscalers. Our platform connects 100+ AI customers to 50+ global providers, with billions of GPU-hours supported, and those numbers are all rapidly growing. We combine enterprise-grade reliability with the speed and economics of an open market, serving teams running everything from large-scale training to production inference.
Nat Friedman (former CEO of GitHub) and Daniel Gross (former head of AI at Apple, YC partner) started Andromeda in 2023 with a single GPU cluster. It filled almost immediately. Three years later, we're a $1.5B company, profitable since day one, with a Series A from Paradigm to scale the platform globally. The global flow of compute is already a multi-trillion dollar market, and our team is building the infrastructure that enables it to continue to scale.
The problem is deceptively hard. Not all compute is equal: interconnect, networking, OEM, firmware, and cluster age all vary across providers, and the differences matter at scale. Our platform benchmarks and validates capacity, takes positions, structures contracts, and operates clusters globally, delivering a consistent product regardless of where it runs. No one else has built this layer, and the AI industry can't scale without it.
The Role
Our customers run large AI training and inference workloads on GPU clusters we source from providers worldwide. When a node goes dark or a job dies eight hours into a run, the Customer Reliability Engineer is who they hear from, and who gets it sorted.
The job has three parts. You triage incoming issues and debug them at the Linux and Kubernetes layer. You work provider-side to figure out whose fault something actually is and push external providers to fix it. And you build the monitoring and scripts that catch problems before a customer has to tell us.
You need to be comfortable in a Linux shell and know how Kubernetes works. You don't need GPU or HPC experience. Most people pick that up here.
What You'll Do
Triage and fix customer issues
  • Own issues start to finish: reproduce, diagnose, fix or escalate, close the loop
  • Debug at the Linux layer: processes, networking, storage, kernel logs, resource contention, systemd, journald
  • Dig into Kubernetes problems like pods stuck pending or crash-looping, node conditions, scheduling failures, resource limits
  • Work GPU failures: driver and device-plugin issues, XID errors, thermal throttling, nodes that need cordoning or draining, jobs failing across multiple nodes
  • Escalate when you're past your depth, with the evidence already gathered

Handle incidents
  • Take part in a 24/7 on-call rotation
  • First response on alerts and customer-reported outages: assess impact, set severity, pull in the right people
  • Keep customers updated during incidents. Clear status, honest unknowns, no silence
  • Write up what happened, then turn it into a runbook, an alert, or a fix so it costs less next time

Push providers to resolution
  • Work out whether a fault is provider-side, ours, or the customer's before it gets handed anywhere
  • Open tickets with compute providers and chase them down rather than waiting
  • Track recurring provider failures and flag the patterns to the people making sourcing decisions

Build the tooling
  • Write Python or Bash to automate the checks you'd otherwise run by hand
  • Build and improve monitoring: cluster and node health checks, GPU telemetry, dashboards, alerts that fire on real problems
  • Keep runbooks and customer docs current as you go

What We're Looking For
  • Real Linux troubleshooting ability from the command line. You can work a problem through logs, processes, networking, and disk without a script to follow
  • Working knowledge of Kubernetes: pods, nodes, deployments, services, scheduling, and how to investigate when one of those breaks
  • Can write a script in Python or Bash to automate something repetitive
  • Strong writing. You can explain a technical problem to a frustrated customer clearly and without condescension
  • Good judgment under pressure. You know what to check first, when to escalate, and how to keep people informed while you're still working it out
  • Willing to join a 24/7 on-call rotation

Strong Candidates May Have
  • Hands-on time with NVIDIA GPUs in production: drivers, CUDA, DCGM, the Kubernetes device plugin
  • Experience with high-performance networking (InfiniBand, RoCE) or NCCL
  • Experience with HPC or batch schedulers like Slurm
  • A previous customer-facing technical role: support engineering, TAM, solutions, professional services
  • Knowledge of Prometheus, Grafana, Datadog, or similar
  • IAC: Terraform, Ansible, or Helm
  • Genuine interest in AI infrastructure and how big training jobs behave

Why You'll Love It Here
  • High-growth environment: Get in early at a company at the center of the AI infrastructure boom
  • Competitive compensation: + meaningful equity
  • Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO

Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.