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Senior Remote Prompt Engineering Jobs in Tennessee

Pae

Plant Designer Senior - Remote/Hybrid

Oak Ridge, TN · On-site +1

$60 - $79/hr

Working with Piping Engineering on Pipe Specifications and Stress analysis support locations. * Working with Structural Engineering for Pipe Support designs. * Managing the model outputs for material ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Memphis, TN · 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

Memphis, TN · 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 ...

Humana

Senior AI Implementation Lead

Nashville, TN · On-site +1

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Nashville, TN · On-site +1

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Nashville, TN · On-site +1

... prompt engineering, and agent orchestration frameworks. * Responsible AI * Healthcare compliance ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Pae

Senior-Level Process Engineer (Hybrid/Remote)

Oak Ridge, TN · On-site +1

$99K - $128K/yr

Senior-Level Process Engineer (Hybrid/Remote) Description: As a senior-level process engineer, you ... Engineering calculations * Process flow diagrams (PFDs) * Piping and instrumentation diagrams (P ...

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Senior Remote Prompt Engineering information

What are the key skills and qualifications needed to thrive as a senior remote prompt engineer?

To thrive as a Senior Remote Prompt Engineer, you need deep expertise in natural language processing, machine learning, and prompt design, often supported by a degree in computer science or related field. Familiarity with AI frameworks (such as OpenAI, Hugging Face), version control systems, and advanced prompt engineering tools is typically required. Strong problem-solving, communication, and collaboration skills set you apart in cross-functional, remote environments. These skills and qualities are crucial for creating effective AI interactions, optimizing model performance, and contributing to innovative NLP solutions.

What are some unique challenges faced by senior remote prompt engineers, and how can they be addressed?

Senior Remote Prompt Engineers often encounter challenges such as staying updated with rapidly evolving AI models and maintaining effective communication across distributed teams. To address these, it's important to participate in ongoing training, collaborate closely with cross-functional teams through regular virtual meetings, and contribute to shared documentation. Additionally, proactively seeking feedback and sharing prompt engineering strategies can help maintain high-quality outputs and foster team cohesion, even when working remotely.

What is a senior remote prompt engineer?

A Senior Remote Prompt Engineer is an experienced professional who specializes in designing, testing, and refining prompts for AI language models such as ChatGPT. Working remotely, they collaborate with teams to optimize AI outputs, ensuring relevance, accuracy, and alignment with user or business needs. Their responsibilities often include prompt experimentation, data analysis, and staying current with advancements in AI technologies. Senior Prompt Engineers typically have strong backgrounds in programming, machine learning, and natural language processing.

What is the difference between Senior Remote Prompt Engineering vs Machine Learning Engineer?

AspectSenior Remote Prompt EngineeringMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with NLP and prompt designBachelor's or higher in CS, data science, or related field; ML certifications often preferred
Work EnvironmentRemote, collaborative teams focusing on prompt development and AI interactionRemote or on-site, developing ML models, algorithms, and data pipelines
Industry UsageAI, NLP, chatbot development, AI product companiesTech, finance, healthcare, research institutions
Common Search/ComparisonYesYes

While both roles involve working with AI technologies, Senior Remote Prompt Engineers focus on designing and optimizing prompts for AI models, especially in NLP applications. Machine Learning Engineers develop and deploy ML models and algorithms. The roles overlap in AI and remote work environments but differ in technical focus and responsibilities.

What are popular job titles related to Senior Remote Prompt Engineering jobs in Tennessee?

For Senior Remote Prompt Engineering jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Senior Remote Prompt Engineering jobs in Tennessee look for?

The top searched job categories for Senior Remote Prompt Engineering jobs in Tennessee are:

What cities in Tennessee are hiring for Senior Remote Prompt Engineering jobs?

Cities in Tennessee with the most Senior Remote Prompt Engineering job openings:

Senior Remote Prompt Engineering jobs near you

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Nashville, TN • 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.

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