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Weekday Ai Prompt Writer Jobs in Remote, OR (NOW HIRING)

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AI Engineer

OR · Remote

Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval ... Write clean, well-tested, maintainable code and participate in code reviews * Collaborate with ...

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AI Engineer

OR · Remote

Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval ... Write clean, well-tested, maintainable code and participate in code reviews * Collaborate with ...

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

About Anytime AI At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff ... Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies. * Experience ...

... write, test, review, troubleshoot, document, and deliver software with greater speed and confidence ... Build and scale shared AI capabilities, reference architectures, prompt libraries, templates, and ...

Revenue Operations Lead - 100% Remote

OR · On-site +1

$140K - $170K/yr

... building AI agents or workflows using Claude, ChatGPT, or other LLM platforms, including prompt ... Communication - Exceptional written and verbal communication skills, critical for a fully remote ...

Weekday Ai Prompt Writer information

See Remote, OR salary details

$13

$38

$66

How much do weekday ai prompt writer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for weekday ai prompt writer in Remote, OR is $38.90, according to ZipRecruiter salary data. Most workers in this role earn between $28.80 and $47.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekday AI Prompt Writer, and why are they important?

To thrive as a Weekday AI Prompt Writer, you need strong language skills, creativity, and a deep understanding of AI prompt engineering, often supported by experience in content writing or linguistics. Familiarity with AI platforms, prompt testing tools, and best practices for generative AI systems is typically required. Excellent communication, attention to detail, and adaptability are crucial soft skills for crafting effective prompts and collaborating with technical teams. These abilities ensure the delivery of high-quality, clear, and efficient AI-generated outputs that meet user and business needs.

How does a Weekday AI Prompt Writer typically collaborate with engineers and data scientists to improve AI-generated content?

As a Weekday AI Prompt Writer, you will frequently work alongside engineers and data scientists to refine and optimize prompts for AI models. Collaboration often involves sharing feedback on how AI responds to your prompts, discussing desired outcomes, and brainstorming ways to enhance accuracy and relevance. Regular meetings and feedback loops help ensure that the models are aligned with project goals, and you may be asked to test new features or provide insights on user interactions. This cross-functional teamwork not only sharpens your technical understanding but also opens up opportunities for growth into roles like prompt engineering or content strategy.

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

AspectWeekday Ai Prompt WriterContent Writer
Required credentialsBasic writing skills, familiarity with AI toolsWriting degrees or experience often preferred
Work environmentRemote, tech-focused companiesVaries; remote or on-site, diverse industries
Employer and industry usageTech startups, AI companiesMedia, marketing, publishing
Search and comparison intentUnderstanding AI-specific writing rolesGeneral content creation roles

The Weekday Ai Prompt Writer focuses on creating prompts for AI models, requiring familiarity with AI tools and basic writing skills. Content Writers produce a wide range of written content across industries, often with formal writing credentials. While both roles involve writing, the AI prompt writer specializes in AI-related tasks, whereas the content writer has broader content creation responsibilities.

What are Weekday AI Prompt Writers?

Weekday AI Prompt Writers are professionals who create, refine, and optimize prompts for artificial intelligence (AI) systems, particularly for applications that require natural language processing, such as chatbots, virtual assistants, and content generation tools. Their role involves understanding both the technical and creative aspects of prompt engineering to ensure AI outputs are accurate, engaging, and user-friendly. They often collaborate with engineers, product teams, and content creators to develop effective prompts that align with business objectives. By crafting and testing prompts, they help improve the reliability, usefulness, and safety of AI interactions.
What are the most commonly searched types of Ai Prompt Writer jobs in Remote, OR? The most popular types of Ai Prompt Writer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Weekday Ai Prompt Writer jobs? Cities near Remote, OR with the most Weekday Ai Prompt Writer job openings:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

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Job description

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role, you will design, build, and ship AI-powered features end to end, from integrating large language models and machine learning services into our products, to developing the front-end applications that put those capabilities in users' hands. You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). 

Responsibilities 

  • Design, develop, and deploy AI-powered applications and features, integrating LLMs and ML models into production software 
  • Build and maintain responsive, high-quality front-end applications using modern JavaScript frameworks (React, Angular, or Vue) 
  • Develop APIs and backend services that connect front-end applications with AI/ML models and data pipelines 
  • Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector search 
  • Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI, Cloud Run, Cloud Functions, BigQuery, GKE) 
  • Fine-tune and integrate models from providers such as OpenAI, Anthropic, and Google, as well as open-source models (Hugging Face, LLaMA, etc.) 
  • Implement MLOps/LLMOps best practices: CI/CD pipelines, model monitoring, evaluation, and versioning 
  • Write clean, well-tested, maintainable code and participate in code reviews 
  • Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions 
  • Stay current with the rapidly evolving AI/ML landscape and recommend new tools and approaches 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) 
  • 3+ years of professional software engineering experience 
  • Strong proficiency in Python and JavaScript/TypeScript 
  • Hands-on experience building front-end applications with React, Angular, or similar frameworks (HTML, CSS, modern UI patterns) 
  • Experience developing and deploying applications on Google Cloud Platform 
  • Practical experience integrating LLM APIs (OpenAI, Anthropic Claude, Google Gemini) into applications 
  • Experience with RESTful APIs, microservices, and modern software architecture 
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG architectures 
  • Solid understanding of Git, CI/CD, containerization (Docker), and agile development practices 
  • Strong problem-solving skills and ability to work independently and within a team 

Preferred Qualifications 

  • Experience with Vertex AI, LangChain, LlamaIndex, or similar AI application frameworks 
  • Experience with agentic AI workflows, function/tool calling, and multi-agent systems 
  • Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow) 
  • Experience with Kubernetes (GKE) and infrastructure-as-code (Terraform) 
  • Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) 
  • GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) 
  • Experience shipping user-facing AI products from concept to production 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.