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Internship Ai Programmer Jobs (NOW HIRING)

TIFIN

AI Engineering Intern, TIFIN.ai

Boulder, CO

$17 - $25/hr

You're paired with an AI Engineering leader and work on a single project for the three months ... Top performers are invited to join the team full time! This is a full time internship based out of ...

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 ...

AI Fund

AI Engineer

Mountain View, CA · On-site

They are looking for an AI Engineer to work in their Learning Experience Lab, where the role ... This could come from some combination of formal study, internships, previous work experience, and ...

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

Description iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY ... Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ...

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

iSoftStone , Inc. is seeking an A ssociate AI Developer to join our Team In New York, NY, Seattle ... Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ...

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 ...

Athena LLC

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Previous projects or internship experience involving machine learning or AI (especially work with ...

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Internship Ai Programmer information

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How much do internship ai programmer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship ai programmer 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.

Is an internship AI programmer worth it?

An internship as an AI programmer provides practical experience in developing machine learning models, coding in languages like Python, and working with AI frameworks such as TensorFlow or PyTorch. It can enhance skills, build industry connections, and improve job prospects after graduation. However, the value depends on the quality of the internship and individual career goals.

What does an AI programmer intern do?

An AI Programmer Intern assists in developing, testing, and optimizing artificial intelligence algorithms and systems, often under the guidance of experienced engineers. Their tasks may include coding machine learning models, managing data sets, and helping integrate AI features into software products. This role provides hands-on experience in areas such as deep learning, natural language processing, or computer vision. Interns also collaborate with teams to solve real-world problems using AI and gain exposure to the latest technologies in the field.

What types of projects and tasks can an AI programmer intern expect to work on during their internship?

As an AI Programmer Intern, you can expect to contribute to a variety of projects, ranging from building and testing machine learning models to supporting data preprocessing and algorithm optimization. Interns often assist with coding in languages like Python or C++, analyzing datasets, and collaborating with senior engineers to integrate AI features into applications. The role typically involves regular meetings with cross-functional teams, which helps interns gain exposure to the broader development process and learn best practices in AI programming. This hands-on experience is invaluable for building technical skills and understanding real-world AI development cycles.

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

To succeed as an Internship AI Programmer, you need a solid grasp of programming languages such as Python or Java, basic knowledge of machine learning concepts, and enrollment in or completion of a related degree (e.g., computer science, data science). Familiarity with frameworks like TensorFlow or PyTorch and version control systems such as Git is highly valuable. Curiosity, problem-solving ability, and willingness to learn help interns adapt quickly and contribute effectively in fast-paced environments. These skills and qualities ensure interns can support real-world AI projects, grow their expertise, and add value to their teams.

What is the difference between Internship Ai Programmer vs Data Analyst Intern?

AspectInternship Ai ProgrammerData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, SQL, Excel, statistical skills
Work EnvironmentTech companies, AI research labs, startupsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Programmers focus on developing AI models and algorithms, requiring programming and machine learning skills. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and data management skills. Both roles are common in tech-driven industries but serve different functions within data and AI projects.

How to become an internship AI programmer?

To become an internship AI programmer, candidates typically need a strong foundation in computer science, programming languages such as Python or Java, and knowledge of machine learning frameworks like TensorFlow or PyTorch. Gaining relevant experience through coursework, personal projects, or coding competitions, along with a solid understanding of algorithms and data structures, can improve chances of securing an internship in this field.
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Internship Ai Programmer jobs near you
Infographic showing various Internship Ai Programmer job openings in the United States as of August 2026, with employment types broken down into 20% Internship, 40% Full Time, 20% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

AI Engineer

Sincera Technologies, Inc.

Jersey City, NJ • On-site

$109K - $149K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior AI Engineer Google AI & Generative Intelligence
Location: [Paramus, NJ / Hybrid]
Experience Required: 10 15 Years in Software Engineering | 5+ Years in Artificial Generative Intelligence
Job Description:
We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI, and Large & Small Language Model (LLM/SLM) development. The ideal candidate brings 10 15 years of broad software engineering experience, with the last 5 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices.
Required Qualifications
10 15 years of overall software engineering experience.
5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems.
Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations.
Proficiency in Python (primary) and familiarity with Node.js.
Strong background in cloud-native development on Google Cloud Platform.
Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks.
Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices.
Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.
Preferred Qualifications
Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect).
Contributions to open-source AI/ML projects.
Experience with edge AI deployments and hybrid cloud-edge inference.
Familiarity with synthetic data generation pipelines.
Prior experience mentoring junior engineers or interns in AI/ML domains.

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