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Text Jobs in California (NOW HIRING)

Mattson Technology

Final Test Technician 5

Fremont, CA · On-site

$26 - $35.50/hr

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Oracle

ZipRecruiter_DA_04

San Francisco, CA · On-site

$21.25 - $27.75/hr

You can handle large scale events/projects while facing the pressure of deadlines. bold text italic text underlined text * one * two link

Oracle

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San Francisco, CA · On-site

$21.25 - $27.75/hr

You can handle large scale events/projects while facing the pressure of deadlines. bold text italic text underlined text * one * two link

Mars

ZipRecruiter_DA_04

San Francisco, CA · On-site

$21.25 - $27.75/hr

You can handle large scale events/projects while facing the pressure of deadlines. bold text italic text underlined text * one * two link

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How much do text jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for text in California is $20.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $23.70 per hour, depending on experience, location, and employer.

What is a text?

A Text job typically involves creating, editing, or analyzing written content for various purposes, such as marketing, communication, or technical documentation. Professionals in this field may work as writers, editors, content strategists, or transcriptionists. Their responsibilities often include ensuring clarity, accuracy, and engagement in written materials.

What are text editors?

Text editors are software applications that allow users to create, view, and modify plain text files. They are commonly used by programmers, writers, and anyone who needs to work with code or simple text documents. Text editors often include features such as syntax highlighting, search and replace, and support for various file formats. Popular examples include Notepad, Sublime Text, and Visual Studio Code. They differ from word processors in that they focus on editing raw text rather than formatting documents for printing.

What are some common challenges faced by text editors in publishing, and how can they be addressed?

Text editors in publishing often encounter tight deadlines, juggling multiple projects, and ensuring consistency in style and voice across various materials. Successfully managing these challenges requires strong organizational skills, attention to detail, and clear communication with writers and other team members. Effective use of editorial tools and style guides, as well as regular check-ins with the team, can help streamline workflows and reduce errors, making the editing process smoother and more efficient.

What is the difference between Text vs Content Writer?

AspectTextContent Writer
Required CredentialsBasic writing skills, possibly some editing experienceStrong writing skills, SEO knowledge, sometimes a degree in communications or related fields
Work EnvironmentFreelance, remote, or in-house settings, often short-term projectsIn-house or freelance, producing articles, blogs, and marketing content
Industry UsageUsed across various industries for simple writing tasksCommonly employed in marketing, publishing, and digital media
Search & Comparison IntentPeople looking for basic writing jobs or freelance opportunitiesIndividuals comparing content creation roles or seeking specialized writing careers

While both Text and Content Writer involve writing tasks, Text typically refers to basic or short-form writing, whereas Content Writer focuses on producing detailed, SEO-optimized content for marketing and digital platforms. Content Writers often require more specialized skills and credentials, making their roles more strategic and industry-specific.

How do I become a text chat agent?

To become a text chat agent, you typically need strong communication skills, basic computer literacy, and the ability to type quickly and accurately. Many employers require a high school diploma or equivalent and may provide training on specific chat platforms or customer service protocols. Relevant experience in customer support or online communication can improve your chances of securing a position.

What are the most commonly searched types of Text jobs in California?

The most popular types of Text jobs in California are:

What are popular job titles related to Text jobs in California?

For Text jobs in California, the most frequently searched job titles are:

What job categories do people searching Text jobs in California look for?

The top searched job categories for Text jobs in California are:

What cities in California are hiring for Text jobs?

Cities in California with the most Text job openings:

Text jobs near you
Infographic showing various Text job openings in California as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,639 per year, or $20.5 per hour.

Director of Research, Text to Speech

San Francisco, CA • On-site, Remote

Deepgram
Software Development • 1 - 10 employees
Learn more about Deepgramexternal

$213K - $328K/yr

Full-time

Posted 6 days ago

Job description

Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
We're looking for a Director of Research to own our Text-to-Speech program end to end - the research strategy, the technical bets, and the models that ship. This is a hands-on leadership role: you set direction and stay in the details, shaping architectures, experiments, training strategy, and evaluation. You'll also build the team and operating model that let exceptional researchers move fast without lowering the bar.
The mandate is broad: advance the state of the art in speech generation, and turn those advances into models in production.
What You'll Do
  • Own the TTS research and model roadmap - decide which technical directions can materially move speech-generation quality, including the expensive and non-obvious ones, and recognize when an approach should change or die.
  • Drive advances across neural audio modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance - and make sure they land as measurable production gains.
  • Stay deeply technical: review research, challenge assumptions, design experiments, diagnose model failures, and take on the highest-leverage problems yourself.
  • Build evaluation and benchmarking that explains why models improve, not just whether they did - automated metrics alongside human perceptual assessment.
  • Lead a mix of individual contributors and tech lead managers. Hire and develop both, hold an exceptionally high technical bar, grow senior researchers into technical leaders, and set direction across sub-teams while pushing decisions down to the people closest to the work.
  • Partner with engineering and product leadership on ship-readiness, and represent Deepgram's TTS research internally and externally.
You'll Love This Role If You
  • Want to own a frontier-model program end to end rather than optimize one slice of someone else's agenda.
  • Care about the breakthrough and the ship in equal measure.
  • Still love training runs, failed evals, and architecture arguments, even as most of your impact now comes through the people you lead.
  • Get energy from deciding which bets are worth making when the answer isn't obvious and the experiments are expensive.
You Must Have
  • Deep expertise in modern TTS, speech generation, or audio generative modeling, with a track record of personally training and improving large-scale neural models.
  • Command of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost.
  • A history of setting research direction under genuine uncertainty: prioritizing experiments, allocating compute and researcher time, and killing approaches that aren't working.
  • Experience leading researchers and research engineers through other technical leaders - developing tech lead managers or equivalent, setting direction across sub-teams - while staying technically influential yourself.
  • AI as your default mode of work, not an occasional tool. You've rebuilt how you and your team operate around it, and you have a specific, earned view of what it still can't do in speech research.
  • The ability to make complex technical tradeoffs legible to product, engineering, and executive audiences.
It'd Be Great If You Had
  • TTS or generative-audio models deployed at meaningful production scale.
  • Built or substantially scaled a high-performing AI research organization.
  • Sophisticated evaluation systems for generative speech; expressive or multilingual generation, voice cloning and adaptation, or controllable generation.
  • Recognized external contributions - publications, open source, patents, invited talks - in speech synthesis, neural audio codecs, speech language models, or multimodal models.
  • Experience in fast-moving startup or research environments that routinely take models from idea to production.

Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

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