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Intern Code Review Jobs in Texas (NOW HIRING)

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative ... Understanding of software engineering fundamentals (unit tests, code reviews, documentation)

... code knowledge, and the overall construction schedule. In performing any number or combination of ... Review project drawings and coordinate any design changes * Provide document control assistance for ...

... code knowledge, and the overall construction schedule. In performing any number or combination of ... Review project drawings and coordinate any design changes * Provide document control assistance for ...

Description The intern will join the team working on Eagle Eye Networks' Clip Service, a key ... Participate in code reviews, debugging, and documentation to support a reliable production system ...

Intern, Engineering

Warren, TX · On-site

$24 - $28/hr

... code knowledge, and the overall construction schedule. In performing any number or combination of ... Review project drawings and coordinate any design changes * Provide document control assistance for ...

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Intern Code Review information

What is the difference between Intern Code Review vs Intern Software Developer?

AspectIntern Code ReviewIntern Software Developer
Primary FocusReviewing and providing feedback on code qualityWriting, testing, and developing code
Skills RequiredKnowledge of coding standards, attention to detailProgramming skills, problem-solving
Work EnvironmentCollaborative review sessions, code repositoriesDevelopment teams, coding environments
CertificationsBasic understanding of programming languagesIntroductory programming courses or certifications

Intern Code Review roles focus on evaluating and improving code quality, while Intern Software Developer positions involve creating and implementing code. Both roles often require foundational programming knowledge and are common in tech companies during internships.

What are the most commonly searched types of Code Review jobs in Texas? The most popular types of Code Review jobs in Texas are:
What job categories do people searching Intern Code Review jobs in Texas look for? The top searched job categories for Intern Code Review jobs in Texas are:
What cities in Texas are hiring for Intern Code Review jobs? Cities in Texas with the most Intern Code Review job openings:
AI Intern

AI Intern

SWBC

San Antonio, TX • On-site

$13.50 - $18/hr

Part-time

Medical, Retirement

Posted 6 days ago


SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is an exciting opportunity for college students who are motivated and eager to learn within their educational field of study.
We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWS environment. The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained.
Why you'll love this role:
As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry. We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family.
Essential duties include the following:
  • Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification).
  • Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes.
  • Support deployment and operations of models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks.
  • Develop and maintain Python components such as APIs, inference services, evaluation scripts, and tooling.
  • Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring.
  • Help document designs, experiments, and results; contribute to team standards and best practices.
  • Collaborate with engineers and product stakeholders to translate requirements into deliverable AI features.

Serious candidates will possess the minimum qualifications:
  • Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome).
  • Expected graduation date of December 2026 or later.
  • Some hands-on experience with: Python (e.g., scripting, notebooks, basic software practices), ML/GenAI fundamentals (e.g., embeddings, transformers concepts, evaluation basics)
  • Familiarity with at least one of the following: AWS (e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development (Flask/FastAPI), Git and collaborative development workflows
  • Strong communication skills and ability to work effectively in a corporate, cross-functional environment.
  • Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring).
  • Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails
  • Familiarity with containerization (Docker) and orchestration concepts.
  • Understanding of software engineering fundamentals (unit tests, code reviews, documentation).
  • Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).
  • Contribute to repeatable, documented workflows for building and deploying AI solutions.
  • Collaborate effectively with the team and communicate progress clearly.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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