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Intern Entry Level Ai Engineer Jobs in Austin, TX

AI Engineering Intern (Austin, TX)

Austin, TX · On-site

$16.50 - $21.50/hr

AI Engineering Intern Please note, this is a full-time internship running though Summer 2026 (June-August) Location: Austin, TX (In-office Tues/Wed/Thurs) Eligibility: Must be currently enrolled at ...

AI & ML Engineering Intern

Austin, TX · On-site

$16.50 - $21.50/hr

... AI layer that makes every team at the company faster and sharper. We need an engineering intern who ... Documented everything to a standard where another engineer can pick it up and maintain it without ...

... Engineer Intern Company: Norstella Location: Remote, United States Date Posted: May 5, 2026 ... Norstella is a premier and critical global life sciences data and AI solutions provider dedicated ...

AI Intern

Austin, TX · On-site

... engineering student to explore cutting-edge applications of machine learning and generative AI ... This internship provides hands-on experience working with emerging AI systems and integrating them ...

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Intern Entry Level Ai Engineer information

See Austin, TX salary details

$10

$19

$29

How much do intern entry level ai engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for intern entry level ai engineer in Austin, TX is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.72 per hour, depending on experience, location, and employer.
What cities near Austin, TX are hiring for Intern Entry Level Ai Engineer jobs? Cities near Austin, TX with the most Intern Entry Level Ai Engineer job openings:
Onsite Artificial Intelligence/Machine Learning Engineer 2 - Intern (Austin TX)

Onsite Artificial Intelligence/Machine Learning Engineer 2 - Intern (Austin TX)

TexcelVision Inc.

Austin, TX

Other

Posted 6 days ago


Job description

The workers responsibilities and skills must include:

The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry level AI talent in support of AI Strategic Plan.

Under supervision, the intern will:

Assist in evaluating emerging AI trends, tools, and vendor solutions against defined business use cases
Support proof of concept (PoC) efforts to assess feasibility, data readiness, and potential value
Contribute to the development of AI/ML models and prototype applications for prioritized use cases
Help design and document data and AI pipelines that integrate with existing systems
Create reports, analyses, and presentations that communicate findings and outcomes clearly
Collaborate with data, engineering, software development, and governance teams

Minimum Yrs of Experience, Skills, and Qualifications

Level & Experience Alignment
Level 2 (Intern / Apprentice Equivalent):

Typically 1 3 years of academic, internship, or entry level experience in AI, data science, software engineering, or a related field
Possesses foundational knowledge of common concepts, tools, and practices
Works under guidance using established processes and standards
Does not typically exercise independent production decision making

Minimum Qualifications, Skills, and Experience
Education / Learning Background

  • Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline
  • Demonstrated interest in artificial intelligence, machine learning, and applied analytics
Technical Skills (Foundational / Developing)

Proficiency in Python
Familiarity with object oriented programming concepts
Experience with version control (Git)
Exposure to data processing, analysis, and basic model development
Understanding of basic software development and testing concepts

Preferred Skills and Qualifications

Familiarity with one or more of the following (hands on or academic):
o Data pipelines (e.g., Airflow, Prefect, or cloud native equivalents)
o Model deployment concepts (e.g., REST APIs, serverless patterns)
o Cloud platforms or AI services (AWS, Azure, Google Cloud Platform, OCI)
o Containerization concepts (Docker)
o CI/CD fundamentals
o Monitoring or model versioning concepts