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Ai Prompt Training Jobs in Bothell, WA (NOW HIRING)

... training, prompt engineering, and deploying LLMs for applications such as natural language ... AI systems Company : As more of the shopping journey shifts to Instagram, Tik tok, ChatGPT and ...

PII exposure monitoring, prompt injection detection, and access enforcement. Contribute ... Data & AI owns model development, training, and AI governance policy. This role owns the ...

Senior AI Agent Engineer

Seattle, WA ยท On-site

$62.75 - $81/hr

The role combines prompt engineering, agent development, and operational deployment, ensuring ... Internal evangelization, training, and support of the solutions you build, and any other AI ...

... and RL training. * Design and build proprietary agent libraries, prompting strategies and ... Practical understanding of LLMs, prompt engineering and agentic architectures. * Experience ...

Manager, AI

Seatac, WA

$149K - $224K/yr

Oversee the full AI/ML software development lifecycle, ensuring best practices in model training ... Experience with LLM fine-tuning, retrieval-augmented generation (RAG), and prompt engineering.

Manager, AI

Seattle, WA ยท On-site

$149K - $224K/yr

Oversee the full AI/ML software development lifecycle, ensuring best practices in model training ... Experience with LLM fine-tuning, retrieval-augmented generation (RAG), and prompt engineering.

Manager, AI

Seatac, WA ยท On-site

$149K - $224K/yr

Oversee the full AI/ML software development lifecycle, ensuring best practices in model training ... Experience with LLM fine-tuning, retrieval-augmented generation (RAG), and prompt engineering.

AI Solution Architect

Bellevue, WA ยท On-site

$71 - $93.75/hr

Azure OpenAI Service assistantsLLM APIs prompt engineering costperf controls * Azure AI Search vector search hybrid retrieval custom scoringreranking * Azure ML training deployment model registry ...

Agentic AI, AI & Data Science Engineer

Seattle, WA ยท On-site

$130K - $156K/yr

Experience with LLM prompt engineering, fine-tuning, and RAG (Retrieval Augmented Generation ... Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio;

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Ai Prompt Training information

See Bothell, WA salary details

$35.8K

$76.8K

$125.2K

How much do ai prompt training jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai prompt training in Bothell, WA is $76,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $94,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in AI prompt training and how can they be addressed?

Professionals in AI prompt training often encounter challenges such as maintaining prompt clarity, avoiding biased or ambiguous language, and continuously adapting to evolving AI models. It can be tricky to strike the right balance between specificity and flexibility in prompts to achieve reliable outputs. Collaboration with data scientists and AI developers is key to refining prompts and understanding model behavior. Regularly reviewing prompt outcomes, participating in team feedback sessions, and staying updated on best practices can help address these challenges and improve the quality of prompt training.

What is AI prompt training?

AI prompt training is the process of designing, refining, and testing prompts to guide artificial intelligence models, such as language models, to produce accurate, relevant, and useful outputs. This involves understanding how the AI interprets different instructions and iteratively improving prompts to achieve desired results. People working in AI prompt training often experiment with phrasing, context, and structure of prompts to optimize AI performance for various tasks, including content generation, summarization, or problem solving.

What is the difference between Ai Prompt Training vs Ai Content Writer?

AspectAi Prompt TrainingAi Content Writer
Required CredentialsKnowledge of AI models, training techniques, and prompt engineeringWriting skills, SEO knowledge, and content creation experience
Work EnvironmentTech companies, AI labs, remote or office-based roles focused on AI model developmentMarketing agencies, media companies, or freelance platforms creating written content
Employer & Industry UsageUsed by AI developers and tech firms to improve AI interactionsUsed by content marketing and publishing industries to produce engaging articles

While Ai Prompt Training involves developing and refining prompts to optimize AI responses, Ai Content Writers focus on creating high-quality written content for various platforms. Both roles require strong communication skills, but Ai Prompt Training emphasizes technical understanding of AI models, whereas Ai Content Writers prioritize writing and SEO expertise.

What are the key skills and qualifications needed to thrive as an AI prompt trainer, and why are they important?

To excel as an AI Prompt Trainer, you need a solid understanding of natural language processing, machine learning concepts, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms, prompt engineering tools, and annotation systems is typically required, as well as experience with programming languages like Python. Strong communication, creativity, and attention to detail are important soft skills for crafting effective prompts and collaborating with development teams. These skills ensure that AI models are trained efficiently, resulting in accurate and contextually relevant outputs that meet user needs.
What are popular job titles related to Ai Prompt Training jobs in Bothell, WA? For Ai Prompt Training jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Ai Prompt Training jobs? Cities near Bothell, WA with the most Ai Prompt Training job openings:

AI/ML Scientist

SpangleAI

Bellevue, WA โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Spangle AI is a dynamic startup focused on connecting AI-led discovery to real-time conversion. The AI/ML Scientist will be responsible for building GAI/LLM models end-to-end and collaborating with cross-functional teams to enhance customer experiences in the e-commerce sector.
Responsibilities:
โ€ข Conduct cutting-edge research in Generative AI (GAI) and Large Language Models (LLMs), staying at the forefront of AI/ML advancements.
โ€ข Identify and explore novel algorithms, architectures, and techniques to enhance model performance, scalability, and efficiency in e-commerce applications.
โ€ข Train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance, personalization, and customer interaction.
โ€ข Design, build, and manage ETL processes to gather data from various sources, transform it into a usable format, and load it into a data warehouse or data lake.
โ€ข Collaborate with product, engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve complex problems and enhance customer experiences.
โ€ข Design and conduct experiments to evaluate the performance and effectiveness of generative and language models in an e-commerce context.
Qualifications:
Required:
โ€ข Ph.D. or Masterโ€™s degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence
โ€ข 2-5 years of experience, proven experience in developing and deploying AI applications end to end in real-world applications, preferably in e-commerce or a related field
โ€ข Deep expertise in generative models (e.g., GANs, diffusion models, autoencoders) and Large Language Models (e.g., GPT, BERT, T5, LLaMA)
โ€ข Experience with LLM fine-tuning, RL post training, prompt engineering, and deploying LLMs for applications such as natural language understanding, content generation, and recommendation systems
โ€ข Strong understanding of the architecture and training techniques for transformer-based models, attention mechanisms, and optimization strategies for LLMs
โ€ข Expertise in distributed training of large-scale models, including using parallelization and optimization techniques for handling large datasets
โ€ข Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, and libraries focused on GAI/LLM development
โ€ข Familiarity with data warehouse and data pipeline technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake, Apache Airflow)
โ€ข Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying and scaling machine learning models, especially those involving LLMs and GAI
โ€ข Understanding of reinforcement learning and its applications within generative AI and LLMs for decision-making, personalization, or conversational AI systems
Company:
As more of the shopping journey shifts to Instagram, Tik tok, ChatGPT and Google, purchase decisions form before consumers reach your site. Founded in 2024, the company is headquartered in Bellevue, USA, with a team of 2-10 employees. The company is currently Early Stage.