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Remote Prompt Engineering Jobs in California (NOW HIRING)

Senior Prompt Engineering Engineer

San Francisco, CA · On-site +1

$123.10K - $169.10K/yr

Role Entbot is seeking a Senior Prompt Engineering Engineer who will own the full lifecycle of ... HQ in San Francisco with remote flexibility across North America time zones. How to apply Send your ...

As an AI Prompt Engineer, you'll blend technical understanding of AI behavior with creative problem ... engineering solutions may substitute for advanced degree #LI-AR1 #LI-REMOTE Herbalife offers a ...

... prompt engineering solutions may substitute for advanced degree #LI-AR1 #LI-REMOTE US Benefits StatementHerbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 ...

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106.30K - $139.90K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven ...

Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No AI and Data ... Develop tools and frameworks to streamline the prompt engineering process, including prompt ...

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 ...

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 ...

AI Engineer (Remote) Duration: 12 Months Location: San Diego, CA Work Schedule: 8 AM - 5 PM PT Only ... Proven experience performing context engineering and prompt tunning. 5. Create REST-APIs to serve ...

Senior Staff Engineer, DevAI

Mountain View, CA · On-site +1

$298K - $368K/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 ...

Senior Staff Engineer, DevAI

San Francisco, CA · On-site +1

$298K - $368K/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 ...

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Remote Prompt Engineering information

See California salary details

$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 cities in California are hiring for Remote Prompt Engineering jobs? Cities in California with the most Remote Prompt Engineering job openings:
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.

Senior Prompt Engineering Engineer

Fuku

San Francisco, CA • On-site, Remote

$123.10K - $169.10K/yr

Full-time

Medical, PTO

Posted 28 days ago


Job description

About Entbot
Entbot is building an autonomous operations copilot for enterprise teams. The company combines frontier LLMs with purpose-built retrieval, evaluation, and analytics pipelines, enabling GTM, ops, and support organizations to deploy AI workflows safely.
Role
Entbot is seeking a Senior Prompt Engineering Engineer who will own the full lifecycle of intelligent workflow design. This includes prompt research, automated evaluation, guardrail instrumentation, tool integration, and production rollout in collaboration with product and customer teams.
What you'll do
- Design, test, and ship multi-agent and multi-turn prompt strategies across core products such as ops copilot, auto-reply, research agents, and workflow builder.
- Build automatic evaluation harnesses, red-teaming suites, and telemetry dashboards to quantify quality, safety, and latency metrics for every release.
- Partner with product, solutions, and enterprise customers to translate ambiguous requirements into reliable AI behaviors, including tool/knowledge grounding strategies.
- Productionize prompt/tooling bundles as reusable components in the internal SDK; document best practices and mentor other engineers and designers.
- Track the frontier LLM/model ecosystem, benchmark new releases, and recommend adoption paths that balance capability, cost, and compliance.
What we're looking for
- 4+ years of experience shipping ML/AI or applied NLP systems, with at least 1-2 years focused on LLM prompt or agent engineering.
- Deep familiarity with Claude, GPT, Gemini, or open-source families, as well as evaluation stacks such as Ragas, DeepEval, LangSmith, Weights & Biases, etc.
- Strong software fundamentals in Python or TypeScript, plus experience orchestrating workflows via LangChain/LangGraph, LlamaIndex, custom eval harnesses, or similar tools.
- Comfort collaborating directly with customers, product, and go-to-market partners; excellent written documentation habits.
- A bias toward experimentation and measurable outcomes, with a default to instrumenting everything built.
Nice to have
- Experience deploying AI copilots into regulated industries, multilingual surfaces, or high-volume support funnels.
- Background in retrieval (vector databases), structured reasoning, toolformer-style call planning, or synthetic data pipelines.
- Contributions to open-source LLM tooling or published best-practice guides.
Why Entbot
- Early seat on a senior, product-minded team shipping into real Fortune 500 workflows.
- Competitive cash and equity, full healthcare, stipends for learning and gear, unlimited PTO with two yearly company shutdown weeks.
- Hybrid-friendly: HQ in San Francisco with remote flexibility across North America time zones.
How to apply
Send your LinkedIn or portfolio along with a short note about the hardest prompt/agent problem you've solved to yangkai31@gmail.com. Entbot will reply within 48 hours if it's a fit.


About Fuku

Sourced by ZipRecruiter

Industry

Food services and drinking places

Company size

51 - 200 Employees

Headquarters location

New York, NY, US

Year founded

2015