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Intern Remote Ai Prompt Engineer Jobs in Tennessee

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Intern Remote Ai Prompt Engineer information

What does a remote AI prompt engineer intern do?

A Remote AI Prompt Engineer Intern works on designing, testing, and refining prompts for artificial intelligence models, particularly those used in natural language processing. Their main responsibility is to craft effective prompts that optimize AI responses for accuracy and relevance. They may also analyze AI outputs, collaborate with teams to improve model performance, and document best practices. Since the role is remote, communication and self-management skills are essential. This internship provides valuable experience in AI development and prompt engineering.

What types of projects and responsibilities can I expect as a remote AI prompt engineer intern?

As a remote AI Prompt Engineer intern, you can expect to work on tasks such as designing, testing, and refining prompts for large language models to improve their accuracy and relevance. You'll likely collaborate with data scientists, software engineers, and other team members to analyze AI model outputs and iterate on prompt strategies. Typical responsibilities may also include documenting best practices, participating in team meetings, and contributing to ongoing research or product development. This role offers a hands-on learning experience in AI development while working in a supportive, remote environment.

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

To thrive as an Intern Remote AI Prompt Engineer, you need a solid understanding of natural language processing concepts, critical thinking skills, and preferably some background in computer science or linguistics. Familiarity with AI platforms like OpenAI, prompt engineering tools, and collaborative work systems (such as GitHub or Slack) is commonly expected. Strong written communication, creativity, and adaptability are valuable soft skills for crafting effective prompts and collaborating with distributed teams. These skills are crucial for generating high-quality AI outputs and ensuring productive teamwork in a remote environment.

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

AspectIntern Remote Ai Prompt EngineerIntern Remote Data Annotator
Required CredentialsBasic understanding of AI, programming, or related courseworkAttention to detail, basic computer skills
Work EnvironmentRemote, collaborative with AI teamsRemote, often independent annotation tasks
Industry UsageAI development, NLP projectsData labeling for machine learning
Search & Comparison IntentUnderstanding AI prompt roles, entry-level AI jobsData annotation roles, entry-level data jobs

The Intern Remote Ai Prompt Engineer focuses on creating and refining prompts for AI models, requiring some technical knowledge. In contrast, the Intern Remote Data Annotator primarily labels data to train AI systems, emphasizing accuracy and attention to detail. Both roles are remote and entry-level, but they serve different functions within AI development teams.

What are the most commonly searched types of Remote Ai Prompt Engineer jobs in Tennessee?

The most popular types of Remote Ai Prompt Engineer jobs in Tennessee are:

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For Intern Remote Ai Prompt Engineer jobs in Tennessee, the most frequently searched job titles are:

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The top searched job categories for Intern Remote Ai Prompt Engineer jobs in Tennessee are:

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Cities in Tennessee with the most Intern Remote Ai Prompt Engineer job openings:

Intern Remote Ai Prompt Engineer jobs near you

Staff Software Engineer, Automations

360 Privacy

Brentwood, TN • On-site, Remote

$180K - $210K/yr

Full-time

Re-posted 26 days ago

Job description

Staff Software Engineer
Automations Team

Location: Hybrid, Nashville TN (remote candidates welcome with quarterly travel to Nashville)
Compensation: $180,000 to $210,000 base salary + bonus + equity
Eligibility: Permanent U.S. residents only

About 360 Privacy

360 Privacy protects high-level individuals' PII data online, helping individuals and businesses regain control of their digital footprint. Our platform automates data removal, monitors exposure, and provides visibility into where and how personal information is being shared. We're a mission-driven team of engineers, builders, and operators focused on privacy, security, and user trust.

About the Role

We're looking for a Staff Software Engineer to join our Automations team to help shape, scale, and evolve the automation engine at the core of our platform. This role plays a pivotal part in designing agentic workflows, orchestrating complex distributed systems, and driving the technical direction of the automation stack. You'll architect event-driven systems, build high-quality automation pipelines, and expand our scraper-based workflows, all while mentoring engineers and raising the technical bar across the team. This is a deeply technical Staff-level position that requires strong ownership, architectural thinking, and hands-on coding excellence in Python.

What You'll Do

  • Take ownership of technical implementation and help define the long-term architectural direction of our automation platform.
  • Build and maintain a resilient, observable, event-driven system that powers our automation engine.
  • Develop workflow orchestration patterns and contribute to system-wide best practices.
  • Design, implement, and scale highly reliable automations using agentic workflows and AI tooling, including code generation, automated review, and agentic development patterns, while helping establish team norms around AI-augmented engineering.
  • Mentor engineers, provide technical guidance, and help elevate peers across the Automation team.
  • Collaborate cross-functionally with SOC, Core, and Integrations to expand and refine automation capabilities.

What We're Looking For

  • Expert-level proficiency with Python and hands-on experience working in production-grade systems (recent experience is a must).
  • Demonstrated experience using AI tools to accelerate engineering work, whether through AI-assisted development, prompt-driven automation, or integrating LLMs into production systems.
  • Strong communication and mentoring skills with a demonstrated ability to raise team capability.
  • Experience orchestrating workflows using modern orchestration tools or frameworks.
  • Deep understanding of event-driven system design and distributed architectures.
  • Deep, production-level AWS experience across services like Lambda, ECS/EKS, SQS, SNS, EventBridge, and CloudWatch in the context of event-driven and automation workloads.
  • This role requires advanced proficiency in English to effectively communicate complex information with team members and stakeholders, and to complete job-related documentation and collaboration tasks.

Nice to Have

  • Hands-on production experience with Prefect, Airflow, Dagster, or Temporal for orchestrating multi-step, stateful workflows at scale.
  • Experience deploying and operating containerized services on Kubernetes, including writing Helm charts, managing cluster resources, and troubleshooting pod-level failures.
  • Background building and maintaining scrapers at scale, including handling anti-bot measures, rate limiting, schema drift, and silent failures from target sites.

What Makes You a Great Fit

  • Low ego and a collaborative mindset.
  • Strong attention to detail and craftsmanship.
  • Curiosity and willingness to learn new tools and frameworks.
  • A generous approach to sharing knowledge and mentoring others.
  • A strong sense of responsibility when working with sensitive client data.

Additional Details

Calculating compensation: This role has a target base salary range of $180,000-$210,000. Final compensation is based on demonstrated experience, interview performance, and scope of impact.

On-Call: Yes, approximately every 6 to 8 weeks.

Travel: If remote, quarterly travel to Nashville for onsite collaboration.

We welcome applicants from all backgrounds and are committed to providing reasonable accommodations where applicable.


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