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Ai Engineer Intern Jobs (NOW HIRING)

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

... intern. The team works closely with the Data Analytics teams and stakeholders across Business Technology to deliver enterprise AI capabilities. The AI Engineer II plays a critical role in building ...

The intern will work under the guidance of senior engineers on real project tasks, with a focus on skill-building rather than independent ownership. Key Responsibilities Hands-on Development ...

New

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR ... We are seeking a highly motivated and versatile Full Stack Engineer Intern to join our core ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is supported, and ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is supported, and ...

... intern-specific programming, and meaningful work experience. Apply to one of our internships today. Your career awaits. Nelnet's AI Lab is building the agent frameworks, integrations, and technical ...

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working closely with AI Consultants, Engineers, Technical Leads, and PhD-level AI experts, this role ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working closely with AI Consultants, Engineers, Technical Leads, and PhD-level AI experts, this role ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working closely with AI Consultants, Engineers, Technical Leads, and PhD-level AI experts, this role ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working closely with AI Consultants, Engineers, Technical Leads, and PhD-level AI experts, this role ...

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity. This position is located in our Ellicott City, MD HQ working with the rest of our AI developers. It requires being in ...

AI-powered sourcing + outreach workflows + expert/CRM management + project execution + an "org ... We're looking for a Gen AI/Backend Software Engineer Intern (Python) who wants to ship production ...

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Ai Engineer Intern information

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How much do ai engineer intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai engineer intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are some common challenges an AI Engineer Intern might face during their internship?

As an AI Engineer Intern, you may encounter challenges such as adapting to complex codebases, understanding large datasets, and balancing theoretical concepts with practical implementation. It’s common to work on projects where requirements or data may change rapidly, requiring flexibility and problem-solving skills. Additionally, collaborating with cross-functional teams like data scientists or software engineers can be an adjustment, as effective communication is key to integrating AI solutions into broader products.

What are the key skills and qualifications needed to thrive as an AI Engineer Intern?

To thrive as an AI Engineer Intern, you need a solid grounding in computer science fundamentals, programming (especially Python), and a basic understanding of machine learning algorithms, often supported by coursework or personal projects. Familiarity with tools and frameworks like TensorFlow, PyTorch, and Git, as well as experience with data analysis libraries such as NumPy and pandas, is typically expected. Strong problem-solving abilities, curiosity, and effective communication skills help interns stand out when collaborating and learning in fast-paced environments. These skills and qualities are crucial for quickly adapting to technical challenges and contributing meaningfully to AI development projects.

What does an AI Engineer Intern do?

An AI Engineer Intern assists in designing, developing, and testing artificial intelligence models and algorithms under the supervision of experienced engineers. Their tasks may include data preprocessing, building machine learning models, evaluating model performance, and collaborating with cross-functional teams. Interns often work on real-world projects, gaining hands-on experience with AI tools and technologies such as Python, TensorFlow, or PyTorch. The internship provides valuable insight into the AI development lifecycle and helps interns build foundational skills for a career in artificial intelligence.
More about Ai Engineer Intern jobs
What cities are hiring for Ai Engineer Intern jobs? Cities with the most Ai Engineer Intern job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
What states have the most Ai Engineer Intern jobs? States with the most job openings for Ai Engineer Intern jobs include:
Infographic showing various Ai Engineer Intern job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Data and Analytics - AI Engineer II

WoodmenLife

Omaha, NE • On-site, Remote

$107K - $150K/yr

Full-time

Re-posted 15 days ago


Job description

AI Engineer II (Hybrid) YOU MUST CURRENTLY BE IN OMAHA AREA!
Requisition Job Title: AI Engineer II
Division: Business Technology
Department: Data & Analytics
Location: Home Office (Hybrid - Omaha, NE preferred)
Role Overview
How This Role Fits into WoodmenLife
This role is part of a newly formed AI team within the Data & Analytics function, currently consisting of an AI Engineer Lead (III), Data Scientist I, and an AI Engineer intern. The team works closely with the Data Analytics teams and stakeholders across Business Technology to deliver enterprise AI capabilities.
The AI Engineer II plays a critical role in building and deploying scalable, production-grade AI solutions that support core business functions. This position helps drive WoodmenLife's transformation into an AI-first organization, modernizing processes across underwriting, claims, customer experience, and risk assessment.
Why You'll Love This Role
WoodmenLife is seeking an AI Engineer II to help bring AI solutions from concept to reality across the enterprise. In this role, you'll build systems that go beyond experimentation-delivering real, measurable business impact.
This position is ideal for someone passionate about applying AI in production environments, solving meaningful business problems, and working across a modern cloud-based ecosystem. You'll gain exposure to end-to-end AI delivery, collaborate with cross-functional teams, and play a foundational role in scaling AI capabilities across the organization.
WoodmenLife offers a supportive, collaborative environment that encourages growth, innovation, and continuous learning.
This is the Life (WoodmenLife)
As a not-for-profit life insurance company, WoodmenLife is devoted to protecting the financial futures of families and making a difference in hometowns across America. With over 135 years of success, our commitment extends beyond our members-we invest in our associates.
We provide an environment that encourages professional growth, creativity, and innovation, while supporting meaningful work that directly impacts our members and communities.
What You'll Do
Key Functions
  • Design and develop AI/ML solutions aligned with business objectives

  • Build and deploy RAG augmented CoPilots into enterprise production environments

  • Develop data pipelines and infrastructure to support AI workloads

  • Monitor model performance and implement continuous improvements

  • Ensure AI solutions meet security, compliance, and governance standards

Day-to-Day Responsibilities
  • Design and build AI/ML solutions for various business units

  • Design and integrate Agentic processes into enterprise systems and workflows

  • Maintain and optimize data pipelines for training and inference

  • Monitor model accuracy, drift, and performance metrics

  • Collaborate with cross-functional teams to deliver scalable solutions

  • Participate in code reviews, documentation, and best practice development

AI Engineering & Delivery
  • Build prototypes, MVPs, and production-ready AI applications

  • Develop agentic workflows and intelligent automation solutions

  • Implement APIs and services for agent integration

  • Apply AIOps/MLOps practices for deployment, monitoring, and lifecycle management

Collaboration & Continuous Improvement
  • Partner with Data Teams, IT, and business stakeholders

  • Contribute to enterprise AI strategy and adoption

  • Stay current with emerging AI tools and technologies

  • Promote responsible AI practices including fairness, explainability, and compliance

Tools & Technologies
  • Languages: Python, SQL, C#

  • Frameworks: TensorFlow, PyTorch, ML.NET

  • Cloud Platforms: Azure

  • Tools: Power Automate, AI Foundry, Power Platform

  • Data Platforms: Snowflake (preferred), SQL Server, Fabric

Projects & Initiatives
  • Advancing enterprise AI/ML capabilities and platforms

  • Building intelligent automation and agent-based workflows

  • Strengthening the organization's data and AI foundation

  • Driving responsible AI governance and compliance practices

  • Expanding AI adoption across business functions

Qualifications
Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, or related field

  • 3-5 years of experience developing AI/ML solutions in production environments

  • Strong programming skills in Python, SQL, and C#

  • Experience with machine learning, deep learning, or NLP

  • Experience with cloud platforms and MLOps practices

  • Strong analytical, problem-solving, and communication skills

  • Ability to manage multiple priorities and meet deadlines

Preferred Qualifications
  • Experience in insurance or financial services

  • Familiarity with underwriting, claims, or risk workflows

  • Experience with Microsoft technology stack and Snowflake

  • Exposure to responsible AI and governance frameworks

Career Growth
AI Engineers may advance to AI Engineer III, with opportunities to expand into senior engineering, architecture, or AI leadership roles as the organization continues scaling its AI capabilities.
Operational Considerations
This is a hybrid role based in Omaha, NE. Candidates should be able to work on-site as needed to support team collaboration and strategic initiatives.
Leadership Insight
Leadership style is people-centered, focusing on understanding individual strengths, empowering ownership, and fostering a collaborative environment where team members can grow and succeed.
WoodmenLife offers a competitive compensation and benefits package. Learn more:
https://www.woodmenlife.org/careers/home-office/benefits/. Employment is contingent upon successful completion of background checks, which may include criminal, credit, fingerprinting (where required), drug screening, and reference checks. WoodmenLife is committed to creating an inclusive environment that values diverse perspectives and provides equal opportunities for growth, leadership, and service.