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Intern Ai Programmer Jobs (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA

Workato AI Lab About Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation ... We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ...

Nelnet, Inc.

Intern - AI Engineer

Lincoln, NE · On-site

... 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 ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

Quartz ranked us the #1 best company for remote workers Workato AI Lab About Workato AI Lab Workato ... We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

Quartz ranked us the #1 best company for remote workers Workato AI Lab About Workato AI Lab Workato ... We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

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 ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

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 ...

Benchmark

Intern - AI Operations

Tempe, AZ · On-site

$14.50 - $19.25/hr

Position Overview This AI Operations Internship runs through the school year and summer and is ... Engineering * Business Analytics or Operations (with a strong technical interest) Additional ...

HelloFresh

AI Operations & Automation Intern

New York, NY · On-site

$16.75 - $22/hr

You are intimately familiar with LLMs and prompt engineering, specifically how to use agentic tools (like Claude Code) to build software and automate tasks. * Agile & Fast: You thrive in a high ...

WEX, Inc.

PhD Intern - AI/ML/NLP Engineer

$35 - $43/hr

About the team: We are a fast-growing AI Engineering team, driving WEX's strategic vision to ... As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ...

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Intern Ai Programmer information

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How much do intern ai programmer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for intern ai programmer in the United States is $18.84, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.47 per hour, depending on experience, location, and employer.

What is the difference between Intern Ai Programmer vs Intern Data Scientist?

AspectIntern Ai ProgrammerIntern Data Scientist
Required CredentialsBasic programming skills, coursework in AI/MLStatistics, data analysis, programming skills
Work EnvironmentTech companies, AI research labsData-driven companies, research institutions
Industry UsageAI development, machine learning projectsData analysis, predictive modeling

Intern Ai Programmers focus on developing AI algorithms and models, often requiring programming and basic AI knowledge. Intern Data Scientists analyze data to extract insights, emphasizing statistical and analytical skills. Both roles are common in tech and research industries, but they differ in daily tasks and skill emphasis.

What does an Intern AI Programmer do?

An Intern AI Programmer assists in the development and implementation of artificial intelligence (AI) algorithms and systems within a team. Their responsibilities often include writing code, testing AI models, and supporting data collection and preprocessing tasks. They work closely with senior programmers and data scientists to learn best practices, debug software, and contribute to projects involving machine learning, natural language processing, or computer vision. This role is usually designed to provide practical, hands-on experience with AI technologies in a professional setting.

What types of projects and responsibilities can an Intern AI Programmer expect during their internship?

As an Intern AI Programmer, you can expect to work on a variety of hands-on projects, such as assisting in developing and testing machine learning models, contributing to data preprocessing, and supporting senior AI engineers with coding tasks. Interns often participate in team meetings, collaborate with cross-functional groups like data scientists or software developers, and help document code or research findings. The work environment is typically collaborative, with mentorship provided to help interns learn best practices in programming and AI development. This role offers a valuable opportunity to gain exposure to real-world AI challenges and contribute to meaningful projects while building your technical skillset.

What are the key skills and qualifications needed to thrive as an Intern AI Programmer, and why are they important?

To thrive as an Intern AI Programmer, you generally need a strong background in computer science fundamentals, programming languages like Python or C++, and basic knowledge of machine learning concepts. Familiarity with frameworks such as TensorFlow or PyTorch and version control systems like Git is typically expected. Problem-solving skills, eagerness to learn, and effective teamwork are valuable soft skills in this role. These skills and qualities are crucial for contributing to AI projects and adapting quickly to evolving technologies in a collaborative environment.
What cities are hiring for Intern Ai Programmer jobs? Cities with the most Intern Ai Programmer job openings:
What are the most commonly searched types of Ai Programmer jobs? The most popular types of Ai Programmer jobs are:
What states have the most Intern Ai Programmer jobs? States with the most job openings for Intern Ai Programmer jobs include:
Intern Ai Programmer jobs near you
Intern, AI Engineering

Intern, AI Engineering

Workato

San Francisco, CA

Other

Posted 29 days ago

Job description

Workato AI LabAbout Workato AI Lab

Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.

Responsibilities

We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.
We are now filling intern positions for Winter 2026 and Spring 2027. 

Research Areas

  • LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks

  • Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models

  • High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies

In this role, you will also be responsible to:

  • Conduct original research on LLM agent architectures and optimization techniques

  • Develop and evaluate novel algorithms with both academic rigor and production feasibility

  • Present your work at internal research seminars and external conferences

  • Mentor and collaborate with LLM  engineers on implementation and deployment

RequirementsQualifications / Experience / Technical Skills

  • Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields

  • Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)

  • Strong programming skills in Python and PyTorch

  • Ability to work in-person at our San Francisco office

  • Ability to work independently and collaborate across research and engineering teams

Preferred:

  • Experience with self-evolving agent systems

  • Proficiency in CUDA programming and custom kernel development for LLM operations

  • Background in reinforcement learning-based LLM fine-tuning 

  • Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem

  • Experience bridging academic research with production systems

  • Open-source contributions to widely-used ML infrastructure projects

(REQ ID: 2690)

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