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Remote Prompt Engineer Jobs in California (NOW HIRING)

Field Materials

You are excited about building AI agents, enjoy prompt engineering, and are curious about ... Unlimited untracked time off (PTO) and a fully remote work environment. * Perks: Gym reimbursement ...

JLL

Senior Software Engineer

San Francisco, CA · Remote

$144K - $190K/yr

You are proficient in English, both written and verbal, sufficient for success in a remote and ... You have hands-on experience with modern LLM APIs across providers - including prompt engineering ...

Vercel

Software Engineer, Trust & Safety

San Francisco, CA · On-site +1

$196K - $294K/yr

If you're located beyond that distance, the role is fully remote. For location-specific details ... Hands-on experience working with LLMs, including prompt engineering, evaluation, and fine-tuning.

Arbital Health

AI Engineer

San Francisco, CA · On-site +1

$155K - $180K/yr

... experience with prompt engineering, model testing, and automated evaluation techniques for ... We will also consider highly qualified remote candidates who can travel to San Francisco for in ...

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Remote Prompt Engineer information

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How much do remote prompt engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote prompt engineer in California is $55.26, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $73.56 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What does a typical workday look like for a remote prompt engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI language models. The role often requires skills in natural language processing, AI tools, and programming, with many companies offering remote positions due to the digital nature of the work.

What is the salary of remote prompt engineer?

The salary of a remote prompt engineer typically ranges from $70,000 to $130,000 annually, depending on experience, skills, and the company's size. Entry-level positions may start lower, while experienced professionals with specialized knowledge in AI and machine learning can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

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

The most popular types of Prompt Engineer jobs in California are:

What are popular job titles related to Remote Prompt Engineer jobs in California?

For Remote Prompt Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineer jobs in California look for?

The top searched job categories for Remote Prompt Engineer jobs in California are:

What cities in California are hiring for Remote Prompt Engineer jobs?

Cities in California with the most Remote Prompt Engineer job openings:

Remote Prompt Engineer jobs near you
Infographic showing various Remote Prompt Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $114,938 per year, or $55.3 per hour.

Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Yelp, Inc

San Francisco, CA • Remote

$144K - $190K/yr

Full-time

Re-posted 8 days ago

Yelp rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.

Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems.  You’ll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on. 

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Work with large and complex textual and visual datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.

  • Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
  • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of engineering and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
  • A Bachelor’s Degree or an equivalent work experience is required

  • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
 
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
 
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience. 
 
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California).
 
Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role.
 
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
 
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
 
US Recruiting and Applicant Privacy Notice
 
Notice to Washington Applicants - Washington State Fair Chance Act
 
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