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Artificial Intelligence Machine Learning Internship information

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$25.5K

$42.6K

$88K

How much do artificial intelligence machine learning internship jobs pay per year?

As of Jul 23, 2026, the average yearly pay for artificial intelligence machine learning internship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Intern, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Intern, you need foundational knowledge in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns excel in collaborative, fast-paced environments. These skills and qualities are essential to contribute meaningfully to projects, learn quickly, and adapt to evolving technological challenges.

What types of projects can an Artificial Intelligence Machine Learning intern expect to work on during their internship?

As an AI/ML intern, you can expect to work on a variety of projects such as data preprocessing, model development, and performance evaluation. Interns often assist in building and testing machine learning models, analyzing large datasets, and contributing to the improvement of existing algorithms. You may also collaborate closely with data scientists, engineers, and product teams to solve real-world problems and help integrate AI solutions into business processes. These experiences provide valuable exposure to both research and practical applications in the field.

What is the difference between Artificial Intelligence Machine Learning Internship vs Data Science Internship?

AspectArtificial Intelligence Machine Learning InternshipData Science Internship
Required CredentialsBasic programming, math, and AI/ML knowledgeStatistics, programming, and data analysis skills
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Employer & Industry UsageAI/ML-focused roles in tech and researchData analysis and insights across industries
Search & Comparison IntentUnderstanding AI/ML internship roles and skillsExploring data science internship opportunities

Artificial Intelligence Machine Learning internships focus on developing AI and ML models, requiring programming and math skills. Data Science internships emphasize analyzing data to generate insights, often involving statistics and data visualization. While both roles involve data and programming, AI/ML internships are more specialized in building intelligent systems, whereas Data Science internships focus on interpreting data for decision-making.

What is an Artificial Intelligence Machine Learning Internship?

An Artificial Intelligence (AI) Machine Learning (ML) Internship is a temporary position designed for students or recent graduates to gain hands-on experience in AI and ML fields. Interns work on real-world projects involving data analysis, model development, and the application of machine learning algorithms under the guidance of experienced professionals. These internships help individuals develop practical skills, build a professional network, and improve their understanding of current technologies and tools used in AI and ML. Interns may also participate in research, code reviews, and present their findings. This experience is valuable for pursuing a career in data science, AI engineering, or related fields.
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Artificial Intelligence Machine Learning Internship jobs near you
Infographic showing various Artificial Intelligence Machine Learning Internship job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

PROLIM Global Corporation

Austin, TX • On-site

Full-time

Posted 3 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is hiring an Artificial Intelligence/Machine Learning Engineer 1 for a leading Government Client.
Job Title: Artificial Intelligence/Machine Learning Engineer
Location: Austin, TX - Hybrid - Onsite and Telework
Duration: 12 Months (Extendable)
Job Summary
We are seeking an experienced Artificial Intelligence/Machine Learning Engineer to support enterprise-level artificial intelligence initiatives. The ideal candidate will provide specialized expertise in AI solution development, enterprise search implementation, AI agent deployment, AI inventory management, and AI governance processes.
This role will support critical AI transformation initiatives, including improving information retrieval capabilities, implementing AI monitoring solutions, developing AI-powered automation agents, and establishing governance standards aligned with cybersecurity, privacy, and technology compliance requirements.
Key Responsibilities
  • Build and deploy components of enterprise search solutions to improve information discovery and retrieval.
  • Assist with configuration, implementation, rollout, and documentation of AI inventory management systems.
  • Support the development, testing, and deployment of AI agents aligned with business unit requirements.
  • Develop technical controls, documentation, and processes supporting AI governance adoption.
  • Collaborate with technical teams and business stakeholders to implement AI-driven solutions.
  • Support AI model integration, testing, monitoring, and operationalization activities.
  • Assist in establishing AI governance frameworks, standards, and compliance processes.
  • Document AI workflows, technical processes, system configurations, and implementation procedures.
  • Analyze business requirements and translate them into AI/ML technical solutions.
  • Support troubleshooting and continuous improvement of AI systems and applications.

Required Skills & Qualifications
  • 1+ year of experience building and deploying components of enterprise search tools.
  • 1+ year of experience configuring, implementing, and documenting AI inventory systems.
  • 1+ year of experience supporting implementation and testing of AI agents.
  • 1+ year of experience developing technical controls, documentation, and processes for AI governance adoption.
  • Experience with Artificial Intelligence and Machine Learning concepts, tools, and implementation practices.
  • Experience supporting enterprise AI initiatives and technology transformation projects.
  • Knowledge of AI governance, cybersecurity, privacy, and compliance requirements.
  • Experience with AI solution documentation and technical process development.
  • Ability to collaborate with cross-functional teams to deliver AI-driven solutions.
  • Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications
  • Experience supporting government or public sector AI initiatives.
  • Experience implementing enterprise search platforms.
  • Experience working with AI inventory, monitoring, and governance platforms.
  • Experience developing AI agents and automation solutions.
  • Experience supporting large-scale enterprise technology environments.

Interested Candidates
Please send your updated resume and contact details to: anand.kanavalli@prolim.com
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM, and Engineering Services and Solutions for Global 1000 companies. We understand business as much as technology and help our customers improve profitability and efficiency through high-value consulting, staffing, engineering, and project management services.
Our offerings include Advisory Services, PLM Software & Services, Program Management, Solution Architecture, Training & Staffing, Cloud Solutions, Infrastructure Services, ERP Practices, Quality Assurance Services, and Engineering Services across a wide range of industries.

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