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Responsible Ai Intern Jobs (NOW HIRING)

Data and Analytics - AI Engineer II

Omaha, NE ยท On-site

$107K - $150K/yr

... intern. The team works closely with the Data Analytics teams and stakeholders across Business ... Promote responsible AI practices including fairness, explainability, and compliance Tools ...

Data and Analytics - AI Engineer II

$117K - $140K/yr

... intern. The team works closely with the Data Analytics teams and stakeholders across Business ... Promote responsible AI practices including fairness, explainability, and compliance Tools ...

Workato AI Lab About Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation ... will also be responsible to: * Conduct original research on LLM agent architectures and ...

AI & Cybersecurity Intern Reports to: Director of Information Systems & Technology Location: Hybrid ... on responsible use, productivity, and understanding limitations. * Help research or summarize AI ...

Showing results 41-60

Responsible Ai Intern information

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$8

$17

$24

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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What states have the most Responsible Ai Intern jobs?

States with the most job openings for Responsible Ai Intern jobs include:

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.

Forward Deployment Engineer, Applied AI Agents (Intern)

Transform Co

IL โ€ข Remote

Internship

Re-posted yesterday


Job description

JOB SCOPE:
The Forward Deployment Engineer (FDE) Intern will work within the SearsKAIros Applied AI Division at TransformCo, partnering directly with business and operational teams to identify opportunities for AI-driven automation and workflow optimization. This role combines software engineering, AI application development, operational problem solving, and stakeholder engagement. The intern will rapidly prototype, deploy, and improve AI agents that drive measurable operational and financial outcomes across various business functions including Sears Home Services, Kenmore, and Central Finance.
JOB SUMMARY:
The Forward Deployment Engineer (FDE) Intern is responsible for embedding with operational teams to understand existing workflows, identify inefficiencies, and develop production-ready AI agent solutions using the SearsKAIros Applied AI platform. This role requires a highly adaptable individual who can work in ambiguous environments, rapidly prototype solutions, integrate AI technologies, measure performance outcomes, and support adoption of AI-enabled workflows across the organization.
REPORTS TO:
CEO, Sears KAIros