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Remote Prompt Engineering Jobs in Oregon (NOW HIRING)

Pindrop

AI Engineering Intern

OR · On-site +1

$16.75 - $21.75/hr

... LLMs) and prompt engineering. * Familiarity with Git workflows. Nice-to-haves: * Hands-on ... Remote

Parachute Health

Staff Software Engineer, Applied AI

OR · On-site +1

$200K - $260K/yr

Familiarity with prompt engineering and the prompt iteration lifecycle. * Fluent with AI-powered ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

BOLD

Senior Prompt Designer II

OR · On-site +1

$101K - $108K/yr

You will support Content, Engineering, Data, and Product teams; acting as the expert who bridges ... SELECT ONE: #LI-Remote

Parachute Health

Engineering Manager, AI Intake

OR · On-site +1

$220K - $275K/yr

Familiarity with prompt engineering and prompt lifecycle management * Familiarity with LangGraph ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

LTS

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Improve autonomous and multi-agent workflows through prompt engineering, reasoning optimization ...

Grafana Labs

Staff AI Engineer | US | Remote

OR · On-site +1

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function ...

Cresta

Senior Developer Relations Engineer

OR · On-site +1

LLMs, prompt engineering, agent frameworks, function calling, RAG. * Comfortable working in Python ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice - Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice - Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... RAG pipelines * Prompt engineering and evaluation frameworks * Familiarity with: * Distributed ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

Epiq

Software Engineer

Portland, OR · Remote

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

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All JobsPrompt Engineering JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Oregon

Remote Prompt Engineering information

See Oregon salary details

$18

$34

$50

How much do remote prompt engineering jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for remote prompt engineering in Oregon is $34.95, according to ZipRecruiter salary data. Most workers in this role earn between $27.98 and $40.43 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

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 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 Oregon?

The most popular types of Prompt Engineering jobs in Oregon are:

What are popular job titles related to Remote Prompt Engineering jobs in Oregon?

For Remote Prompt Engineering jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineering jobs in Oregon look for?

The top searched job categories for Remote Prompt Engineering jobs in Oregon are:

What cities in Oregon are hiring for Remote Prompt Engineering jobs?

Cities in Oregon with the most Remote Prompt Engineering job openings:

Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $72,699 per year, or $35 per hour.

AI Engineering Intern

OR • On-site, Remote

Pindrop
Network Security • 201 - 500 employees
Learn more about Pindropexternal

$16.75 - $21.75/hr

Internship

Posted 7 days ago

Job description

What you'll do

As an AI Engineering Intern, you will be at the forefront of applying generative AI to enhance Pindrop's internal operations and engineering productivity. You will work closely with senior engineers to turn manual processes into intelligent, automated workflows.

  • Explore and build proof-of-concept AI agents to automate complex internal engineering workflows, such as incident analysis or code review summaries.  
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enable "chat with your data" capabilities for internal technical documentation and runbooks.  
  • Collaborate with cross-functional teams to identify operational bottlenecks and implement AI-driven fixes that improve efficiency and performance.  
  • Test and document the use of emerging AI-assisted coding and monitoring tools to determine their viability for the broader engineering organization.  
  • Participate in security-minded engineering, ensuring that automated workflows follow strict data hygiene and secrets management protocols.  
Who you are
  • You are deeply curious about how AI can make large-scale systems more efficient and are comfortable experimenting with new, unproven tools.
  • You are excited to uncover innovative solutions and can teach yourself new frameworks (like LangChain or Auto-GPT) when needed.
  • You take ownership of your projects, under-promise, and over-deliver.
  • You seek feedback frequently and can explain complex AI concepts to both technical and non-technical teammates. 
Your skill-set

Must-haves:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.  
  • Knowledge of Python for automation and data processing.  
  • Demonstrated interest or project experience in AI/ML, specifically involving Large Language Models (LLMs) and prompt engineering.  
  • Familiarity with Git workflows.

Nice-to-haves:

  • Hands-on experience building small ML pipelines or experimenting with vector databases and RAG frameworks.  
  • Foundational experience with AWS or GCP services (e.g., Lambda, S3, or SageMaker).  
  • Exposure to CI/CD concepts or infrastructure-as-code (e.g., GitHub Actions, Docker). 
What's in it for you

In an era where synthetic media and identity manipulation are accelerating, you will work on the systems that ensure every interaction involves the real human and the right human. You will wake up every day knowing your work has real-world impact by protecting financial institutions and consumers from fraud.  

You will gain hands-on experience in a modern environment, working alongside some of the best technical minds in security, AI, and voice intelligence. This is a career-defining opportunity for someone ready to drive meaningful, enterprise-level AI impact.

#LI-Remote

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