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Remote Prompt Engineering Jobs in California (NOW HIRING)

Waymo

Staff Software Engineer, DevAI

San Francisco, CA · On-site +1

$251K - $310K/yr

Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Staff Software Engineer, DevAI

Mountain View, CA · On-site +1

$251K - $310K/yr

Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Virco Talent

Software Engineer - AI Agents

Sacramento, CA · On-site +1

$200K - $320K/yr

This is a full-time remote opportunity, with preference for candidates located in or near the San ... Familiarity with AI orchestration, prompt engineering, or agentic workflows * Experience building ...

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$17

$32

$47

How much do remote prompt engineering jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote prompt engineering in California is $32.62, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $37.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Prompt Engineer, and why are they important?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

How can I make 2000 a week working from home?

Remote prompt engineering is a freelance or contract role that can generate significant income if you have strong skills in AI, natural language processing, and prompt design. Earning $2000 weekly typically requires multiple clients, high-quality work, and efficient time management, often involving project-based tasks or retainer agreements. Building a portfolio and gaining experience with tools like GPT models can help increase earning potential.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Prompt Engineering jobs in California? The most popular types of Prompt Engineering jobs in California are:
What are popular job titles related to Remote Prompt Engineering jobs in California? For Remote Prompt Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in California look for? The top searched job categories for Remote Prompt Engineering jobs in California are:
What cities in California are hiring for Remote Prompt Engineering jobs? Cities in California with the most Remote Prompt Engineering job openings:
Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in California as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 93% Physical, 5% Hybrid, and 2% Remote job distribution, with an average salary of $67,860 per year, or $32.6 per hour.
Staff Software Engineer, DevAI

Staff Software Engineer, DevAI

Waymo

San Francisco, CA • On-site, Remote

$251K - $310K/yr

Other

Posted 25 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Our mission is to build the next generation of AI-powered developer tools and agentic systems that accelerate the development of the Waymo Driver. We focus on transforming the Software Development Life Cycle (SDLC) through cutting-edge Generative AI and multi-agent frameworks, enabling our engineering teams to build, test, and deploy autonomous driving technology with unprecedented speed and quality.

This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI

You will:

  • Revolutionize the Inner Loop: Develop multi-agent frameworks and tools designed to enable engineers to write and test code significantly faster, with a focus on spec-driven development and context-aware code generation
  • Build the Outer Loop: Design and deploy sophisticated agentic flows to automate complex engineering tasks, including root cause analysis agents, automated triage workflows etc.
  • Enhance Driver Debugging: Create specialized agents for perception debugging to accelerate the troubleshooting of complex driving behaviors observed in the real world and simulation
  • Productionize AI Models: Develop data pipelines and evaluation strategies to deploy state-of-the-art LLMs and agentic solutions into Waymo's production environment
  • Collaborate Across Waymo: Partner with engineering teams to understand their unique workflows and drive the adoption of novel DevAI tools

You have:

  • Multi-Agent Systems: Hands-on experience building and deploying multi-agent frameworks and agentic AI systems
  • SDLC Expertise: Deep understanding of modern software development lifecycles, with a passion for improving the developers velocity and innovation rate
  • Spec-Driven Development: Proven track record of utilizing spec-driven development methodologies to build robust software
  • Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG)
  • Coding Excellence: Proficiency in architecting and delivering complex, large-scale software systems
  • Leadership: Experience leading technical work across multiple interdependent teams
  • Experience: 8+ years software development experience

We prefer:

  • Master's or PhD in Computer Science or a related technical field, with a focus on AI/ML
  • Experience developing or applying AI-powered tools for software engineering
  • Deep understanding of modern AI architectures and techniques, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)
  • Experience designing, building, and deploying agentic AI systems and frameworks, including multi-agent systems and their application to complex problem domains
  • Passion for improving developer experiences, and a vision for the future of AI-assisted software development

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$251,000—$310,000 USD

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