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Responsible Ai Intern Jobs (NOW HIRING)

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Awareness of responsible AI and basic AI governance concepts. * Exposure to Microsoft Power ...

Commercial Metals Company

AI Intern- Recycling

Irving, TX

$14 - $18.75/hr

Follow company policies for data security, confidentiality, responsible AI use, and human review of AI-generated outputs * Build a reusable prompt library for recurring commercial reporting, market ...

Commercial Metals Company

AI Intern- Recycling

Irving, TX · On-site

$14 - $18.75/hr

Follow company policies for data security, confidentiality, responsible AI use, and human review of AI-generated outputs * Build a reusable prompt library for recurring commercial reporting, market ...

Alinia AI

Applied AI Research Intern

Applied AI Research Intern We are an early-stage AI startup on a mission to enable the safe and ... responsible deployment of LLM applications. However, we don't expect our interns to work alone. A ...

Marmon

AI Project Management Intern

Chicago, IL

$30K - $36K/yr

Responsible AI & Governance Support: Help maintain documentation related to data sources, access ... The intern gains practical experience in AI project delivery, stakeholder collaboration, project ...

Marmon Holdings Inc

AI Project Management Intern

Chicago, IL · On-site

$30K - $36K/yr

Responsible AI & Governance Support: Help maintain documentation related to data sources, access ... The intern gains practical experience in AI project delivery, stakeholder collaboration, project ...

Marmon

AI Project Management Intern

Chicago, IL

$30K - $36K/yr

Responsible AI & Governance Support: Help maintain documentation related to data sources, access ... The intern gains practical experience in AI project delivery, stakeholder collaboration, project ...

Crowe LLP

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Responsible AI and governance * LLM APIs and integration standards * RAG and vector search * Vector ...

New

Crowe

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Responsible AI and governance * LLM APIs and integration standards * RAG and vector search * Vector ...

Crowe LLP

AI Engineering Intern

Chicago, IL · On-site

$27 - $42/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Responsible AI and governance * LLM APIs and integration standards * RAG and vector search * Vector ...

Crowe LLP

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Responsible AI and governance * LLM APIs and integration standards * RAG and vector search * Vector ...

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Responsible Ai Intern information

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How much do responsible ai intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for responsible ai intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does a Responsible AI Intern do?

A Responsible AI Intern assists in developing and evaluating artificial intelligence systems to ensure they are ethical, fair, and aligned with societal values. Their tasks may include analyzing data for bias, conducting research on AI ethics, supporting the implementation of fairness metrics, and helping develop guidelines for responsible AI use. They often collaborate with data scientists, engineers, and ethicists to promote transparency and accountability in AI projects.

What are the key skills and qualifications needed to thrive as a Responsible AI Intern?

To thrive as a Responsible AI Intern, you need a solid background in computer science, machine learning, and ethical AI principles, typically with coursework or experience in data science and AI fairness. Familiarity with tools like Python, TensorFlow or PyTorch, and frameworks for AI ethics assessment, as well as knowledge of relevant guidelines or certifications, is important. Strong analytical thinking, attention to detail, and effective communication skills help you address complex ethical issues and work collaboratively within interdisciplinary teams. These skills ensure that AI technologies are developed and deployed responsibly, aligning technical innovation with ethical standards and societal well-being.

What types of projects do Responsible AI Interns typically work on, and how do these projects contribute to larger organizational goals?

Responsible AI Interns often work on projects such as assessing AI models for fairness, developing tools to detect bias, reviewing data sets for ethical concerns, and helping create documentation for transparency and compliance. These projects directly support an organization's commitment to ethical AI development and deployment by ensuring that products are trustworthy and in line with regulatory and societal expectations. Interns also frequently collaborate with cross-functional teams, including data scientists, legal experts, and product managers, to address real-world challenges and gain exposure to the full lifecycle of responsible AI initiatives.

What is the difference between Responsible Ai Intern vs Data Science Intern?

AspectResponsible Ai InternData Science Intern
Required CredentialsEnrolled in or recent graduate of AI, ethics, or related fieldsEnrolled in or recent graduate of data science, statistics, or related fields
Work EnvironmentTech companies, AI startups, research labs focusing on ethical AI developmentTech companies, analytics firms, research institutions working on data analysis
Employer & Industry UsageOrganizations emphasizing responsible AI practices and ethical considerationsOrganizations focusing on data analysis, modeling, and insights generation

The Responsible Ai Intern role primarily focuses on ensuring AI systems are developed ethically and responsibly, often involving ethical assessments and bias mitigation. In contrast, a Data Science Intern concentrates on analyzing data, building models, and deriving insights. While both roles require technical skills, the Responsible Ai Intern emphasizes ethical considerations within AI development, making it distinct yet related to data science activities.

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Responsible Ai Intern jobs near you
Infographic showing various Responsible Ai Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

AI Intern - Dallas, TX

Black Box

Plano, TX • On-site

Part-time

Re-posted 21 days ago

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2 years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).

Key Responsibilities AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.

Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.

Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.

Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.

Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).

Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.

Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.

Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.

About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks. Black Box is an equal opportunity employer.

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