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Remote Prompt Engineering Jobs in Oregon (NOW HIRING)

Austin (Hybrid) / Remote (United States) About the Role As our Software Engineering Manager , you ... Familiarity with AI/ML tooling, prompt engineering, or integrating LLM-based features into ...

Senior AI Agent & Evaluations Engineer

Portland, OR · On-site +1

$110K - $152K/yr

Portland, OR (Hybrid Three Days In Office) Remote considered for exceptional candidates. About ... If you're passionate about prompt engineering, agent reliability, and creating measurable AI ...

Staff Software Engineer, Applied AI

OR · Remote

$200K - $240K/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.

Engineering Manager, AI Intake

OR · On-site +1

$195K - $240K/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.

This is a remote opportunity and we would be interested in applicants from USA time zones only at ... Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function ...

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 ...

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

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 ...

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning) * Familiarity with ...

Lead Forward Deployed Engineer (FDE)

OR · On-site +1

$102K - $134K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident required LTS is seeking a ... Establish best practices for prompt engineering, AI evaluation, model governance, human-in-the-loop ...

Senior Software Engineer

Portland, OR · On-site +1

$129K - $171K/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 ...

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 ...

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to ... Experience with vector databases, embeddings, prompt engineering, model evaluation, AI governance ...

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 ...

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

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Remote Prompt Engineering information

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$18

$34

$50

How much do remote prompt engineering jobs pay per hour?

As of Jul 9, 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.

How to make $1000 a week remotely?

Remote prompt engineering can generate $1000 or more weekly by freelancing on platforms like Upwork or Fiverr, building a strong portfolio, and offering specialized skills in AI and NLP. Consistent work, high-demand projects, and efficient time management are key to reaching this income level.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth 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 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 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.

Are prompt engineers still in demand?

Prompt engineering is a growing field as organizations seek professionals skilled in designing effective prompts for AI language models. Demand for prompt engineers is increasing across industries such as technology, healthcare, and finance, often requiring knowledge of AI tools and natural language processing. The role is expected to remain relevant as AI adoption expands.

What jobs make $3,000 a day?

High-paying jobs such as remote prompt engineering, specialized consulting, or executive roles can earn $3,000 or more per day, especially for professionals with advanced skills, experience, and in-demand expertise. These roles often require strong technical knowledge, certifications, and the ability to deliver high-value services on a freelance or contract basis.

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 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:
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Portland, OR • Remote

$50 - $90/hr

Part-time

Posted 9 days ago


Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.