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Remote Ai Prompt Engineer Internship Jobs in Indiana

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site +1

Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management. * Develop agentic workflows, tool ...

Traction Ag, Inc.

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A prompt engineering role * A people management role * A speculative innovation lab What You Will Build The Operating Layer Our internal AI operating layer. A secure internal AI layer that connects ...

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Remote Ai Prompt Engineer Internship information

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

AspectRemote Ai Prompt Engineer InternshipRemote Ai Data Annotator
Required CredentialsBasic programming, understanding of AI models, relevant courseworkAttention to detail, basic technical skills, training provided
Work EnvironmentRemote, collaborative with AI teams, project-basedRemote, data labeling tasks, individual or team work
Industry UsageAI development, NLP, machine learning projectsData preparation, model training support
Search & Comparison IntentLearning, internship opportunities, AI project rolesData annotation jobs, entry-level AI support roles

The Remote Ai Prompt Engineer Internship focuses on developing and refining AI prompts, requiring some technical knowledge and collaboration with AI teams. In contrast, the Remote Ai Data Annotator role involves labeling data to train AI models, emphasizing attention to detail. Both roles are remote and support AI industry needs, but they differ in responsibilities and skill requirements.

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Remote Ai Prompt Engineer Internship jobs near you

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Indianapolis, IN • Remote

$50 - $90/hr

Part-time

This job post has expired 1 day ago. 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