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Intern Java Developer Jobs in San Antonio, TX (NOW HIRING)

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How much do intern java developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for intern java developer in San Antonio, TX is $20.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $21.92 per hour, depending on experience, location, and employer.

What is an intern Java developer?

An Intern Java Developer is a temporary, entry-level position where individuals gain hands-on experience in Java development. Interns typically assist in coding, debugging, testing, and software development tasks under the guidance of senior developers. This role helps build foundational programming skills, familiarity with frameworks like Spring, and an understanding of industry best practices. Interns may also collaborate with teams to develop applications, fix bugs, and optimize code. The position is designed to provide learning opportunities and practical experience for those looking to start a career in software development.

What kinds of projects or tasks does an intern Java developer typically work on during their internship?

Intern Java Developers often assist with coding, debugging, and testing features for larger applications under the guidance of senior engineers. You might be tasked with fixing minor bugs, writing unit tests, or contributing to small modules within a project, which helps you apply classroom knowledge in real-world settings. Interns frequently participate in code reviews, team meetings, and agile sprints, providing exposure to collaborative software development processes. This hands-on experience helps build both technical proficiency and a deeper understanding of how professional development teams operate.

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

To thrive as an Intern Java Developer, you need a foundational understanding of Java programming, object-oriented principles, and basic software development practices, often gained through coursework or self-study. Familiarity with tools such as Eclipse or IntelliJ IDEA, version control systems like Git, and exposure to frameworks such as Spring or Maven can be highly beneficial. Eagerness to learn, effective communication, and teamwork are standout soft skills in this role. These abilities are crucial for contributing to real-world projects, adapting in a collaborative tech environment, and building a strong foundation for a software development career.

What are the most commonly searched types of Java Developer jobs in San Antonio, TX?

The most popular types of Java Developer jobs in San Antonio, TX are:

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Intern Java Developer jobs near you
Infographic showing various Intern Java Developer job openings in San Antonio, TX as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $42,953 per year, or $20.7 per hour.

Software Engineering Evaluation Specialist

Mindrift

San Antonio, TX • On-site

$35/hr

Part-time

Posted 18 days ago

Key responsibilities

  • Design coding tasks that include a broken piece of software within a Docker environment, with instructions, tests, and reference solutions.

  • Build reproducible Docker environments with pinned dependencies and write verification tests that are deterministic and non-flaky.

  • Create instruction documents that resemble developer Jira tickets and produce reference scripts demonstrating task solvability.

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

About the Role

You'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.

Responsibilities:

  • Invent a realistic developer scenario - a real bug, a broken ETL, a missing feature - not a toy problem.
  • Build a reproducible Docker environment with pinned dependencies.
  • Write a pytest that verifies outcomes, not specific commands - deterministic, non-flaky, and does not leak the fix.
  • Write an instruction.md that reads like a Jira ticket a developer would receive.
  • Write a reference solve.sh proving the task is solvable.
  • Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time.
  • Iterate based on feedback from expert QA reviewers.
  • Later: review other authors' tasks as a QA reviewer.

Not in scope

  • Data labeling, prompt engineering.
  • Production code to ship - you design problems and verification for AI agents.
  • Leetcode puzzles - scenarios must look like real developer work.
  • Not every candidate task ships - quality over quantity.

Requirements

  • 3+ years of production software development in one backend stack - Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth.
  • Python + pytest fluency - required regardless of primary stack. The task harness is pytest-based even when the broken app is in another language. Fixtures, parametrize, monkeypatch, timeouts, conftest.py.
  • Docker authoring - reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.
  • Linux & Bash - comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.
  • AI coding agent experience - Claude Code, Cursor, Roo Code, or similar, on non-trivial work. You can cite a specific time the AI was confidently wrong and how you caught it.
  • English - B2+ written.

Not a fit

  • Data Science, ML, or Computer Vision engineers without backend-engineering output.
  • Manual QA testers without automation or test authoring.
  • Frontend-only, low-code / no-code, IT Support, or Business Analysts.
  • Engineers who have never written pytest from scratch.
  • Junior, intern, or assistant as the most recent role.

Preferred qualifications

  • Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.
  • Modern Python tooling (uv, poetry, pyproject.toml).
  • Coverage tooling (pytest-cov, coverage.py, gcov, llvm-cov, kcov).
  • Fuzzing or property-based testing (Hypothesis).
  • Prior contribution to agent-evaluation benchmarks or related frameworks.

Process

Apply Pass qualification (90-minute sample-task screen + short behavioral interview) Join a project Complete tasks Get paid.

Time commitment

  • Onboarding: ~10 hours per first task.
  • Steady state: ~5 hours per task, 2-4 parallel tasks per author.
  • Realistic weekly load: 8-20 hours. Higher volume available for top performers.
  • You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.

Compensation:

  • Paid contributions, rates up to $35/hour*.
  • Task-based compensation equivalent to hourly rate, depending on performance and volume.
  • Some projects include incentive payments.

*Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be provided to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Apply

Submit your CV via the Mindrift platform. Indicate your English level, note this role (Software Engineering Evaluation Specialist - Terminal Bench), and include a GitHub profile link if available.

Apply