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Remote Ai Prompt Writing Jobs Near Me

micro1 AI

AI Data Trainer - MS Suite - Remote

Columbus, OH · Remote

$35 - $50/hr

Engage in dynamic, prompt-driven conversations with language models, challenging them with work ... Strong written and verbal communication skills, with the ability to clearly articulate feedback and ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Columbus, OH · Remote

$35 - $50/hr

Engage in dynamic, prompt-driven conversations with language models, challenging them with work ... Strong written and verbal communication skills, with the ability to clearly articulate feedback and ...

micro1 AI

Engineering AI Evaluator (PhD)

Columbus, OH · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Deliver authoritative written responses to complex engineering prompts in your area of expertise

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How much do remote ai prompt writing jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote ai prompt writing in the United States is $42.40, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $53.61 per hour, depending on experience, location, and employer.

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A map of the United States highlighting the number of Remote Ai Prompt Writing job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Ai Prompt Writing job openings in each state, with California having the most at 2 and Alaska the least at 0.

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Columbus, OH • Remote

$50 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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