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Entry Level Remote Ai Prompt Engineer Jobs in Portland, OR

micro1 AI

AI Data Trainer - MS Suite - Remote

Portland, OR · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Portland, OR · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

micro1 AI

Engineering AI Evaluator (PhD)

Portland, OR · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Collaborate with project coordinators to refine prompt response quality as needed Preferred ...

micro1 AI

Domain Expert - (STEM PhD)

Portland, OR · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

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Entry Level Remote Ai Prompt Engineer information

See Portland, OR salary details

$31.8K

$73.6K

$125.1K

How much do entry level remote ai prompt engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for entry level remote ai prompt engineer in Portland, OR is $73,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $83,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level remote AI prompt engineer?

To thrive as an Entry Level Remote AI Prompt Engineer, you need a solid understanding of language models, prompt engineering concepts, and basic programming skills, typically supported by a relevant degree or self-guided learning in AI or computer science. Familiarity with tools such as OpenAI's GPT platforms, prompt design frameworks, and collaboration software like Slack or GitHub is common. Strong analytical thinking, creativity, and clear written communication are important soft skills for drafting effective prompts and collaborating in a remote team. These skills ensure the delivery of high-quality AI outputs, foster problem-solving, and support efficient teamwork in a rapidly evolving field.

What is an entry level remote AI prompt engineer?

An Entry Level Remote AI Prompt Engineer is a professional who works from a remote location to craft, test, and refine prompts for AI systems, particularly those based on large language models like ChatGPT or GPT-4. Their primary responsibility is to design effective instructions that guide the AI to produce accurate, relevant, and high-quality responses. Entry level roles typically require basic knowledge of AI concepts, strong communication skills, and a keen attention to detail. These engineers often collaborate with development teams to improve AI outputs and may conduct research to optimize prompt strategies. It's a rapidly growing field as AI becomes more integrated into various industries.

What are some common challenges faced by entry level remote AI prompt engineers, and how can they overcome them?

Entry-level remote AI prompt engineers often encounter challenges such as interpreting ambiguous project requirements, balancing creative prompt crafting with technical accuracy, and effectively communicating with distributed team members. To overcome these, it's helpful to ask clarifying questions early, document prompt iterations, and actively participate in virtual team meetings or feedback sessions. Leveraging collaboration tools and setting regular check-ins with mentors or senior team members also helps in building confidence and improving prompt quality.

What is the difference between Entry Level Remote Ai Prompt Engineer vs Entry Level Remote Data Annotator?

AspectEntry Level Remote Ai Prompt EngineerEntry Level Remote Data Annotator
Required CredentialsBasic understanding of AI, programming knowledge (Python, NLP), online coursesAttention to detail, basic computer skills, training in annotation tools
Work EnvironmentRemote, independent work with AI teamsRemote, often repetitive tasks with data labeling platforms
Industry UsageAI development, NLP projects, machine learningData preparation, training datasets for AI models

While both roles are remote and entry-level, AI Prompt Engineers focus on crafting prompts for AI models, requiring some programming and AI knowledge. Data Annotators primarily label data to train AI systems, emphasizing attention to detail. Both are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Remote Ai Prompt Engineer jobs in Portland, OR? The most popular types of Remote Ai Prompt Engineer jobs in Portland, OR are:
What are popular job titles related to Entry Level Remote Ai Prompt Engineer jobs in Portland, OR? For Entry Level Remote Ai Prompt Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Entry Level Remote Ai Prompt Engineer jobs in Portland, OR look for? The top searched job categories for Entry Level Remote Ai Prompt Engineer jobs in Portland, OR are:
Entry Level Remote Ai Prompt Engineer jobs near you
Infographic showing various Entry Level Remote Ai Prompt Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 4% Internship, 66% Full Time, 17% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $73,559 per year, or $35.4 per hour.

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Portland, OR • Remote

$50 - $90/hr

Part-time

Re-posted 13 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.

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