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Internship Hackathon Jobs (NOW HIRING)

Xsolla

AI-First Engineering Intern

Los Angeles, CA

$20 - $25/hr

We're offering AI Engineer Internships in regions across the globe to help drive that shift ... You have side projects, hackathon entries, open-source contributions, or something you shipped just ...

Xsolla

AI-First Engineering Intern

Raleigh, NC

$20 - $25/hr

We're offering AI Engineer Internships in regions across the globe to help drive that shift ... You have side projects, hackathon entries, open-source contributions, or something you shipped just ...

Xsolla

AI-First Engineering Intern

Los Angeles, CA · On-site

$20 - $25/hr

We're offering AI Engineer Internships in regions across the globe to help drive that shift ... You have side projects, hackathon entries, open-source contributions, or something you shipped just ...

David Joseph & Company

Founding Engineer

New York, NY · On-site

$175K - $250K/yr

A notable startup or big-tech background (high-clout internships count) * A top-university CS or technical degree paired with active engineering signal (GitHub, side projects, hackathon wins) * A ...

Eulerity

Mobile iOS Developer Intern

New York, NY · On-site

$16 - $18/hr

... colors" internship. You'll own real work that ships to real users. * Take an active role in ... You've shipped something real outside of coursework: a side project, a hackathon app, an App Store ...

Eulerity

Mobile iOS Developer Intern

New York, NY · On-site

$16 - $18/hr

... colors" internship. You'll own real work that ships to real users. * Take an active role in ... You've shipped something real outside of coursework: a side project, a hackathon app, an App Store ...

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Internship Hackathon information

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How much do internship hackathon jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for internship hackathon in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship hackathon?

An Internship Hackathon is a competitive event, often organized by companies or educational institutions, where students or interns collaborate in teams to solve real-world problems or build innovative projects within a limited time frame. These hackathons usually last from a few hours to a few days and provide participants with the opportunity to showcase their technical and creative skills. They also serve as a platform for networking, gaining practical experience, and sometimes even securing job offers or internships. Internship hackathons often focus on specific themes like software development, product design, or data science, and are valuable learning experiences for participants.

What can I expect in terms of collaboration and mentorship during an internship hackathon?

During an Internship Hackathon, participants typically work in small, cross-functional teams, allowing you to collaborate closely with peers from diverse backgrounds. Mentorship is a key component, with experienced professionals offering guidance, answering questions, and providing feedback throughout the event. You’ll have opportunities to network, learn from others, and receive real-time support as you tackle challenges, which helps accelerate both your technical and soft skills development. This collaborative environment fosters creativity and innovation, making it an excellent setting for personal and professional growth.

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

To thrive as a Hackathon Intern, you need a solid foundation in programming, problem-solving, and teamwork, often supported by current enrollment in a computer science or related degree. Familiarity with coding languages, collaboration platforms like GitHub, and rapid prototyping tools is typically expected. Creativity, adaptability, and strong communication skills help you stand out when working in high-pressure, collaborative environments. These skills are crucial for quickly developing innovative solutions and effectively contributing to team success during the intensive hackathon experience.

What is the difference between Internship Hackathon vs Software Developer?

AspectInternship HackathonSoftware Developer
Required credentialsTypically students or entry-level with basic coding skillsFormal education or experience in software development
Work environmentEvent-based, collaborative, short-term projectsLong-term employment, team-based, ongoing projects
Employer and industry usageOrganized by companies, universities, or tech communities for talent scoutingFull-time roles in tech companies, startups, or organizations
Search and comparison intentUnderstanding short-term coding competitions or talent eventsSeeking full-time software development careers

Internship Hackathons are short-term, event-based coding competitions aimed at students and entry-level participants, focusing on collaboration and skill demonstration. Software Developers are full-time professionals engaged in ongoing projects within organizations. While both involve coding, Hackathons emphasize quick problem-solving and networking, whereas Software Developers work on long-term solutions and product development.

More about Internship Hackathon jobs
What cities are hiring for Internship Hackathon jobs? Cities with the most Internship Hackathon job openings:
What states have the most Internship Hackathon jobs? States with the most job openings for Internship Hackathon jobs include:
What job categories do people searching Internship Hackathon jobs look for? The top searched job categories for Internship Hackathon jobs are:
Internship Hackathon jobs near you
Infographic showing various Internship Hackathon job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 27% As Needed, 21% Full Time, 41% Part Time, 6% Nights, and 4% Summer. Highlights an 32% Physical, 1% Hybrid, and 67% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Software Engineering- Internship (Fall 2026/Summer 2027)

Deepgram

Remote

Full-time

Posted 19 days ago

Job description

Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5.
Note: Hiring for Fall 2026 and Summer 2027 cohorts
Team Overview
You'd join the engineering team building the voice-native foundation models and the platform that delivers them at production scale: real-time ASR, next-generation TTS, and LLM connectivity. As an intern, you won't be sidelined on throwaway work, you'll own a real project and see firsthand how research, engineering, and customers actually fit together.
Key Goals:
  • Design, build, and ship one scoped project end to end, from design through reviewed, tested code running in staging or production, with a dedicated mentor guiding you at each milestone
  • Contribute directly to a production Deepgram codebase, whether that's the core voice AI platform, the Applied AI wing (Deepgram for Restaurants), or the consumer wing, landing merged PRs that teammates and customers actually use
  • Dig into voice AI: speech and audio ML, real-time systems, and how research, engineering, and customers form one feedback loop
  • Use Agentic tooling (Claude Code, Codex, whatever you want!!) as a default part of how you prototype, test, and debug, and bring at least one workflow improvement back to the team

Minimum Skills, Knowledge & Capabilities:
  • You've built things because you wanted them to exist: projects, tools, scripts, or automations, whether in class, on your own, or in a prior role.
  • You reach for AI as a default part of how you learn and build, not an occasional add-on, and you can talk about where it helps and where human judgment still has to lead.
  • You reason from first principles: when something breaks, you dig into why rather than patching around it.
  • You write and read code in at least one language, and you pick up new languages, tools, and codebases quickly.
  • You can explain your work clearly: what you built, what broke, and what you'd do differently.
  • You treat "good enough" as a question, not a finish line, and you're drawn to hard problems.
  • You give and receive feedback well and want to get better fast.

Preferred Qualifications:
  • Currently pursuing a degree in computer science, engineering, or a related field, or building equivalent skills through self-study, open source, or your own projects.
  • Coursework or hands-on exposure to machine learning, real-time systems, or audio/speech processing.
  • A prior internship, a hackathon project, or something you built and shipped for yourself, ideally with an AI-assisted workflow behind it.

Apply