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Part Time Remote Prompt Engineer information

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$10

$47

$87

How much do part time remote prompt engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for part time remote prompt engineer in the United States is $47.09, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $60.82 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Prompt Engineer vs Part Time Remote Data Annotator?

AspectPart Time Remote Prompt EngineerPart Time Remote Data Annotator
Required CredentialsBasic technical skills, familiarity with AI modelsAttention to detail, basic technical understanding
Work EnvironmentRemote, flexible hours, tech-focusedRemote, flexible hours, data-focused
Industry UsageAI development, machine learningData labeling, dataset preparation
Common Search IntentAI prompt creation, AI model trainingData annotation, dataset labeling

While both roles are remote and part-time, Prompt Engineers focus on designing prompts for AI models, requiring some technical understanding of AI systems. Data Annotators primarily label data to train AI, emphasizing accuracy and attention to detail. The roles complement each other in AI development but differ in technical complexity and daily tasks.

More about Part Time Remote Prompt Engineer jobs
What cities are hiring for Part Time Remote Prompt Engineer jobs? Cities with the most Part Time Remote Prompt Engineer job openings:
What are the most commonly searched types of Remote Prompt Engineer jobs? The most popular types of Remote Prompt Engineer jobs are:
What states have the most Part Time Remote Prompt Engineer jobs? States with the most job openings for Part Time Remote Prompt Engineer jobs include:
What job categories do people searching Part Time Remote Prompt Engineer jobs look for? The top searched job categories for Part Time Remote Prompt Engineer jobs are:
Part Time Remote Prompt Engineer jobs near you
Infographic showing various Part Time Remote Prompt Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $97,940 per year, or $47.1 per hour.
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Albuquerque, NM • Remote

$50 - $90/hr

Part-time

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.

Apply