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Remote Prompt Engineer Jobs in Bothell, WA (NOW HIRING)

We're based in Seattle and work 4 days a week in the office (one day remote). We're growing fast ... Build infrastructure for AI-powered features-prompt engineering, context management, and reliable ...

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Remote Prompt Engineer information

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$14

$62

$90

How much do remote prompt engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote prompt engineer in Bothell, WA is $62.59, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $83.32 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 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.

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 job categories do people searching Remote Prompt Engineer jobs in Bothell, WA look for? The top searched job categories for Remote Prompt Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Prompt Engineer jobs? Cities near Bothell, WA with the most Remote Prompt Engineer job openings:
Infographic showing various Remote Prompt Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,193 per year, or $62.6 per hour.

AI Solution Architect

Texas State Library and Archives Commision

Seattle, WA โ€ข On-site, Remote

$71.75 - $94.50/hr

Full-time

Re-posted 10 days ago


Job description

Position: AI Solution Architect
Location: Remote
Duration: Long Term
Job description:
12 years of IT experience currently hands on with minimum of 5 years of experience on Azure having technically guided managed and governed the team Flexible to work in the shifts
Azure Studio and Azure Factory, Gen AI, LLM
Primary skills
Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions
Experience in architecting designing and implementing solutions on premises in the cloud and using hybrid models
Handson experience in deploying a variety of generative models
Indepth experience in finetuning and customizing pretrained AI models with good understanding of various patterns and practices in AI data engineering and large data processing
Hands on in Prompt Engineering Azure Open AI Form Recognizer Cognitive Search Vector Databases
Develop and deliver upskilling sessions to the customer
Python and PySpark
Secondary Skills
MLOps and LLMOps