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Part Time Internship Ai Ml Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

As an AI/ML Engineer, you will work directly with mission users to capture these workflows ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

Norfolk, Virginia, USA AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Share AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Dayton, OH · On-site +1

$99K - $225K/yr

Share AI/ML Engineer The Opportunity: As an experienced engineer, you know that building reliable ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI & ML Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Share AI & ML Engineer The Opportunity: As an experienced engineer, you know that machine learning ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Share AI and ML Engineer The Opportunity: As an experienced engineer, you know that machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Share AI/ML Engineer, Lead The Opportunity: As an AI/Machine Learning Engineer, you'll lead the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Chantilly, VA · On-site +1

$77K - $176K/yr

As an AI/ML Engineer, you know that machine learning is critical to understanding and processing ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Pennsylvania State University

This fall/spring internship willconcentrate on gaining hands-on experience in AI/ML data preparation and contributing to meaningful research ARL is an authorized DoD SkillBridge partner and welcomes ...

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Part Time Internship Ai Ml information

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How much do part time internship ai ml jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for part time internship ai ml in the United States is $17.31, 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 is a part time internship in AI/ML?

A part time internship in AI/ML is a temporary, flexible position where students or early-career professionals work with artificial intelligence and machine learning technologies, usually while continuing their studies. Interns typically assist with data analysis, model building, research, or coding tasks under the supervision of experienced AI/ML professionals. These roles are designed to provide practical experience in the field, allowing interns to apply theoretical knowledge, build technical skills, and gain exposure to real-world projects.

What types of projects or tasks can I expect to work on during a part-time AI/ML internship?

As a part-time AI/ML intern, you can expect to contribute to a variety of projects that may include data preprocessing, building and evaluating machine learning models, and assisting with research or literature reviews. You might also help with data annotation, writing scripts for data analysis, or implementing algorithms under the guidance of senior team members. Collaboration is often key, so you'll likely participate in team meetings and code reviews, gaining exposure to real-world workflows and best practices in AI/ML development.

What are the key skills and qualifications needed to thrive in a part-time internship in AI/ML, and why are they important?

To thrive as a Part Time Intern in AI/ML, you typically need a solid understanding of programming (especially Python), basic statistics, and foundational knowledge of machine learning concepts, often supported by relevant coursework or self-learning. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems such as Git is highly valuable. Strong analytical thinking, eagerness to learn, and effective communication skills set standout interns apart. These skills are crucial for successfully contributing to projects, collaborating with teams, and building a pathway for future roles in the field.

What is the difference between Part Time Internship Ai Ml vs Part Time Internship Data Science?

AspectPart Time Internship Ai MlPart Time Internship Data Science
Required CredentialsBasic programming, machine learning fundamentalsStatistics, programming, data analysis skills
Work EnvironmentTech companies, startups, research labsTech firms, consulting agencies, research institutions
Industry UsageArtificial Intelligence, Machine Learning projectsData analysis, predictive modeling, business insights

Part Time Internship Ai Ml focuses on machine learning and AI-specific skills, while Part Time Internship Data Science covers broader data analysis and statistical techniques. Both roles often share similar environments and credentials but differ in their core focus areas.

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Part Time Internship Ai Ml jobs near you
Infographic showing various Part Time Internship Ai Ml job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Co-Founder & AI Internship -- Remote Startup Builder (San Francisco)

GAO RFID Inc.

San Francisco, CA • On-site

$17.50 - $23.25/hr

Part-time

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

Job description

About us

Aperture Venture Studio builds and launches startups at the intersection of AI, IoT, and Cloud (AIoT), focused on industries like manufacturing, healthcare, logistics, and infrastructure. We are not just supporting startups; we are building companies from the ground up with shared R&D, marketing, and infrastructure support.

AI Product Lead
  • Lead development of AI-driven products and solutions
  • Define AI strategy, use cases, and product roadmap
  • Work closely with R&D teams to build scalable models
  • Drive innovation and real-world application of AI
  • Contribute to go-to-market and product positioning
Requirements
  • Strong background in AI/ML, data science, or related field
  • Experience building or deploying AI solutions
  • Problem‑solving mindset with execution focus
  • Ability to work in fast‑paced startup environments
Fundraising Lead
  • Lead fundraising strategy and investor outreach
  • Build pitch decks, financial models, and investment narratives
  • Manage relationships with VCs, angels, and partners
  • Identify funding opportunities and close investment rounds
  • Support overall business growth strategy
Requirements
  • Experience in fundraising, venture capital, or finance
  • Strong networking and communication skills
  • Ability to craft compelling investment stories
  • Strategic thinking with business acumen
Internship – AI & Venture Building
  • Support AI-related research and market analysis
  • Assist with AI startup ecosystem mapping
  • Research AI tools, platforms, and industry trends
  • Help prepare presentations, summaries, and internal documents
  • Support venture-building and innovation initiatives
  • Collaborate with cross‑functional teams on AI‑focused projects
Qualifications
  • Current student or recent graduate
  • Interest in AI, startups, venture studios, or emerging technologies
  • Strong research and communication skills
  • Comfortable working in a remote and fast‑paced environment
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