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Intern Remote Ai Prompt Engineer Jobs in Indiana

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

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 ...

$14.75 - $19.75/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

$14.25 - $19/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

$14.75 - $19.50/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$14.25 - $19/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

$15 - $20/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

$14.25 - $19/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$14.50 - $19.25/hr

... the Data+AI Security company. Our data security posture management platform is engineered ... Remote Duration: 10-12 weeks (Summer 2025)

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... Experience supporting Generative AI applications, LLM-based solutions, prompt orchestration ...

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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 Indiana?

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

What are popular job titles related to Intern Remote Ai Prompt Engineer jobs in Indiana?

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

What job categories do people searching Intern Remote Ai Prompt Engineer jobs in Indiana look for?

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

What cities in Indiana are hiring for Intern Remote Ai Prompt Engineer jobs?

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

Infographic showing various Intern Remote Ai Prompt Engineer job openings in Indiana as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.

Principal AI Systems Engineer

Traction Ag, Inc.

Auburn, IN • On-site, Remote

$170K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Traction Ag helps farmers simplify the business of farming through cloud-based software that brings together farm financials and operations.
In this role, you will operate as a cross-functional technical leader partnering closely with the COO and engineering leadership. You will help define the company's AI architecture, tooling standards, and governance practices.
Core Priorities
  1. Build a secure internal AI data and retrieval layer
  2. Establish governance and safe AI usage patterns
  3. Ship high-leverage internal workflows and automations
  4. Enable responsible AI adoption across the company
  5. Create scalable foundations for future agentic systems

What the role is not:
  • An AI research role
  • A pure ML modeling role
  • 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 company knowledge systems and makes institutional context searchable, usable, and operational.
  • Building AI-powered retrieval and synthesis workflows across Slack, CRM, Google, docs, project management, and meeting transcripts so teams can access institutional knowledge and historical context in seconds
  • Creating scalable systems for meeting capture, decision logging, onboarding, SOP generation, and cross-functional communication
  • Implementing RAG pipelines, vector search, embeddings, and AI orchestration frameworks that power the entire internal AI toolkit
  • Reducing knowledge silos, duplicated work, and dependency on tribal knowledge by making information flow to where it is needed, when it is needed

The Internal AI Workflow Platform
A centralized library of reusable AI-powered workflows, automations, and internal tools employees can safely use without exposing sensitive company or customer data.
  • Curated, tested AI workflows for each department that non-technical team members can invoke without prompt engineering from scratch
  • Version control, access governance, and audit trails so the organization can scale AI usage without sacrificing security or consistency
  • A framework that lets team members go from idea to prototype to production-ready workflow, with guardrails that keep outputs safe and on-brand

Operational Intelligence
  • Automations and agents that transform raw information into actionable insights, summaries, tasks, and operational reporting
  • Tools that make operational metrics, goal tracking, and leadership reporting more accessible, more actionable, and harder to ignore
  • Governance, security, and data quality standards for every internal AI system

Security & Governance
  • Define safe AI usage standards across the organization
  • Establish data handling and model access policies aligned with security requirements
  • Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability
  • Design human-in-the-loop workflows, auditability, and operational safeguards
  • Ensure customer financial data is protected across all AI systems

What We Are Looking For
Required
  • 7+ years in software engineering, data engineering, or platform/infrastructure roles, with at least 2 years focused on AI/ML systems or AI-powered tooling
  • Demonstrated track record designing and implementing AI-powered retrieval systems, knowledge architectures, and workflow orchestration patterns in production environments.
  • Proficiency in Python, Node, Angular, and TypeScript; comfortable working across the stack from data pipelines to lightweight front-end interfaces
  • Proven ability to build integrations across SaaS tools using APIs, webhooks, and automation platforms
  • Strong understanding of context engineering: designing retrieval strategies, memory systems, and information architectures that make AI outputs reliable and high-quality
  • Excellent communication: you can translate between technical architecture and business outcomes, and you can teach complex concepts to non-technical colleagues
  • Comfortable operating autonomously, prioritizing ambiguous problems, and making pragmatic technical tradeoffs.

Nice to Have
  • Familiarity with structured operating systems for scaling companies
  • Background in ag-tech, fintech, or B2B SaaS
  • Experience building internal developer platforms, plugin systems, or self-service tooling for non-engineers
  • Contributions to open-source AI tooling or a portfolio of internal tools you have built and shipped
  • Experience with our stack: Atlassian, Notion (including the API), HubSpot, Slack, Jira, Figma, Google Workspace, Canva

What Success Looks Like
Foundation
  • Initial secure AI retrieval architecture is operational against at least one core company data source
  • Foundational AI infrastructure, governance standards, and approved tooling patterns are established
  • At least two vetted internal AI workflows are published and actively used

Quick Wins - First 90 Days
  • Three to five automations are shipped and saving measurable time across multiple departments
  • At least one cross-functional AI workflow is operational and adopted by non-technical teams
  • A prioritized six-month roadmap for AI infrastructure, workflow automation, and governance is delivered to leadership

Organizational Trust
  • You have established strong working relationships across department leadership
  • The organization trusts the systems, guardrails, and architectural direction being established
  • The company has begun moving from fragmented AI experimentation toward secure, production-oriented AI adoption

What We Offer
  • Mission-driven work that directly supports farmers and rural communities.
  • A nimble, passionate team where your ideas have real impact.
  • Competitive and cost-effective benefits plans - Health, Dental, Vision, and Life Insurance
  • 401(k) Plans with Company Match
  • Unlimited Paid Time Off
  • Paid Holidays
  • A company culture rooted in our values:
    • Put the Farmer First
    • Gain Traction as a Team
    • Think Outside the Silo
    • Take the Right Next Step
    • Choose Joy