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Github Internships Jobs (NOW HIRING)

Exostar

Associate DevOps Engineer

Cincinnati, OH · On-site

$51.50 - $70.50/hr

... internships or personal projects. * Proficiency in at least one programming language , such as Python, JavaScript, Java, or .NET. * Hands-on experience using Generative AI tools (e.g., GitHub Copilot ...

Exostar

Associate DevOps Engineer

Cincinnati, OH · On-site

$51.50 - $70.50/hr

Build, maintain, and improve CI/CD pipelines using GitHub Actions or similar tools to streamline ... internships or personal projects. * Proficiency in at least one programming language , such as ...

FiberLight LLC

Network Engineer I

Allen, TX · On-site

... GitHub for version control and collaboration on network projects. · Participate in network ... or telecommunications (internships or entry-level roles count). · Layer 1- Experience ...

Accenture

Junior DevOps Engineer

Cincinnati, OH · On-site

$50.50 - $69.25/hr

... internships, co-ops, or equivalent practical experience) * Technical Skills - Foundational knowledge of: * Git-based version control (GitHub preferred) * CI/CD concepts and tooling * Scripting ...

FiberLight LLC

Network Engineer I

Allen, TX · On-site

... GitHub for version control and collaboration on network projects. • Participate in network ... telecommunications (internships or entry-level roles count). • Layer 1- Experience ...

Clera

Founder Associate Intern

San Francisco, CA · On-site

Comfortable working 6 long days per week and going all-in for the duration of the internship * A standout profile -- e.g. strong academic record, notable projects, active GitHub, or exceptional ...

AGS LLC

Software Engineer - Game Dev

Atlanta, GA · On-site

Internship or prior experience in the gaming industry. * Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or ChatGPT) to accelerate coding, generate tests, or solve ...

AGS LLC

Software Engineer - Game Dev

Atlanta, GA · On-site

Internship or prior experience in the gaming industry. * Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or ChatGPT) to accelerate coding, generate tests, or solve ...

Eulerity

Backend Developer Intern

New York, NY · Hybrid

$17 - $19/hr

Full GitHub Copilot access with frontier LLMs and coding agents from Anthropic, Google, and OpenAI - keeping you equipped with the best AI tooling available Internship Details: * The internship will ...

TECH Tammina

Jr. Full-Stack Developer

Warren, MI · On-site

Proficient in navigating large codebases using GitHub (branches, PRs, reviews) and Sourcegraph ... coursework, internships, or personal projects welcome) Familiarity with full-stack development ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Experience with version control (Git/GitHub) and collaborative development workflows. * Interest in defense, national security, or government technology applications. * Prior internship experience in ...

Wolfe, LLC

Software Engineer

Pittsburgh, PA · On-site

... GitHub Copilot, ChatGPT) to accelerate coding, refactoring, testing, and documentation. • ... Required : • 2+ years of professional software development experience, or equivalent internship ...

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How much do github internships jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for github internships in the United States is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.91 per hour, depending on experience, location, and employer.

What are GitHub internships?

GitHub internships are short-term, paid opportunities for students or recent graduates to gain hands-on experience working at GitHub. Interns typically work on real projects alongside experienced engineers, designers, and other professionals, contributing to the company's products and services. These internships provide valuable industry exposure, mentorship, and a chance to learn about open source software development and collaboration. GitHub offers internships in various fields such as engineering, product management, design, and more. Interns also benefit from networking opportunities and may have the potential for future full-time employment.

What are the key skills and qualifications needed to thrive as a GitHub Intern, and why are they important?

To thrive as a GitHub Intern, you generally need a strong foundation in programming (commonly in languages like Python, JavaScript, or Ruby), version control with Git, and familiarity with software development practices, often supported by current enrollment in a computer science or related degree program. Experience with GitHub's platform, CI/CD tools, and basic knowledge of cloud services or open-source collaboration are valuable technical assets. Strong communication, teamwork, and a proactive approach to learning help interns stand out in a collaborative, fast-paced environment. These skills and qualities are crucial for contributing meaningfully to projects, adapting to team needs, and making the most of the internship experience.

What is the difference between Github Internships vs Software Developer Internships?

AspectGithub InternshipsSoftware Developer Internships
Required SkillsVersion control, Git, basic codingProgramming languages, algorithms, software design
Work EnvironmentOpen-source projects, collaborative platformsCompany offices, remote or onsite development teams
Industry UsageTech, open-source communities, startupsTech, finance, healthcare, various industries
PurposeContribute to open-source, learn version controlDevelop software, gain coding experience

Github Internships focus on open-source contributions and version control skills, often in collaborative online environments. Software Developer Internships are broader, emphasizing coding, software development, and industry-specific projects. Both roles provide valuable experience but differ in scope and environment.

What types of projects do interns typically work on during a GitHub internship, and how much ownership do they have?

During a GitHub internship, interns often contribute to real-world projects that impact both the platform and its users. Interns are usually assigned to a specific team and are encouraged to take ownership of their work, from planning to implementation and even presenting their results. Projects can range from developing new features, improving existing tools, to enhancing open-source repositories. Collaboration is highly encouraged, with interns receiving mentorship and regular feedback from experienced engineers, ensuring a supportive learning environment.
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Github Internships jobs near you
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Other

Re-posted 2 days ago

Job description

Company Description

Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K-12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more.
Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale.

Job Description

You will architect and implement the core AI pipeline that powers Accel's test creation system.

Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates.
On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together.
Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product.
This is a generalist role at an early-stage product where you'll wear multiple hats, work with ambiguity, and have direct input into how things are built.

PLEASE NOTE THESE QUESTIONS AND REPLY WITH YOUR APPLICATION:

  1. This is an unpaid internship opportunity. Are you still interested in the role?
  2. What interests you most about this internship and this role? (Please share what excites you about contributing and what you hope to gain from the experience.)
  3. Tell us about the most interesting project you've worked on in this domain. What was the project, and what specific contributions did you make? (Include technologies, responsibilities, outcomes, or measurable impact if applicable.)
  4. How many hours per week are you available to commit to this internship?
  5. Are you currently based in the USA?
Qualifications

Strong foundation in software engineering: data structures, APIs, system design
Proficiency in Python (primary language for AI/ML pipeline work)
Experience with REST APIs and at least one database (PostgreSQL preferred)
Ability to work independently, ask sharp questions, and iterate fast
Strong debugging and problem-solving instincts
Demonstrated side projects or shipped code (GitHub portfolio required)
Genuine interest in AI systems and education technology

Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini
Hands-on experience with RAG systems: embedding models, vector databases (Pinecone, 
Weaviate, pgvector, Chroma)
Familiarity with prompt engineering techniques: few-shot prompting, chain-of-thought, 
structured JSON outputs
Experience with NLP pipelines: text chunking, tokenization, semantic search
Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX)
Experience with image generation APIs or SVG programmatic generation
Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs
Cloud platform experience: AWS, GCP, or Vercel for deployment
Experience with job queues: Celery, Bull, or similar
Exposure to educational content standards or psychometrics is a bonus

Additional Information

All your information will be kept confidential according to EEO guidelines.

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