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Internship Ai Tutor Jobs (NOW HIRING)

Simulmedia

AI Product Specialist

New York, NY · On-site

... experience (internships, campus leadership, personal projects, and coursework all count) * Has ... tutoring others * Comfort with ambiguity and a self-starter mentality, able to figure things out ...

Simulmedia

AI Product Specialist

New York, NY

$50K - $60K/yr

... experience (internships, campus leadership, personal projects, and coursework all count) * Has ... tutoring others * Comfort with ambiguity and a self-starter mentality, able to figure things out ...

Simulmedia

AI Product Specialist

New York, NY

$50K - $60K/yr

... experience (internships, campus leadership, personal projects, and coursework all count) * Has ... tutoring others * Comfort with ambiguity and a self-starter mentality, able to figure things out ...

Principia The

Writing Center Director

Elsah, IL · On-site

$43K - $60K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... peer tutors and any post-graduate interns assigned to the department, and maintains ongoing ... Assists students in navigating emerging AI technologies, including understanding appropriate use ...

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Internship Ai Tutor information

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How much do internship ai tutor jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship ai tutor in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.63 per hour, depending on experience, location, and employer.

What is an Internship AI Tutor?

An Internship AI Tutor is a role where individuals, often students or recent graduates, assist learners by using artificial intelligence tools to provide academic support and tutoring. They may help explain complex concepts, answer questions, and guide students through learning materials, typically in a virtual environment. This position offers interns hands-on experience with educational technology, enhances their teaching skills, and exposes them to the latest developments in AI for education. It's a great opportunity for those interested in both technology and education to gain practical experience while helping others learn.

What are some common challenges faced by Internship AI Tutors, and how can they be addressed?

Internship AI Tutors often encounter challenges such as adapting to rapidly evolving technologies, addressing diverse student learning styles, and balancing technical explanations with accessible communication. Staying up-to-date with the latest AI tools and educational platforms is essential, as technologies can change quickly. Additionally, effective AI Tutors must develop strong interpersonal skills to engage students who may have varying levels of familiarity with AI concepts. Collaborating with experienced tutors and seeking regular feedback can help interns overcome these challenges and grow in the role.

What is the difference between Internship Ai Tutor vs Internship Data Analyst?

AspectInternship Ai TutorInternship Data Analyst
Required CredentialsBasic knowledge of AI, programming, or education backgroundStatistics, data analysis, or related coursework
Work EnvironmentEducational platforms, online tutoring, tech companiesBusiness, finance, tech firms, or research settings
Employer & Industry UsageEdTech companies, startups, universitiesCorporations, consulting firms, research institutions
Common Search & Comparison IntentUnderstanding roles related to AI education supportComparing data analysis internships in tech and business sectors

Internship Ai Tutors focus on supporting learners using AI tools and educational technology, often requiring knowledge of AI and programming. In contrast, Internship Data Analysts analyze data sets to inform business decisions, requiring skills in statistics and data visualization. Both roles are common in tech and educational industries but serve different functions and skill sets.

What are the key skills and qualifications needed to thrive as an Internship AI Tutor, and why are they important?

To thrive as an Internship AI Tutor, you generally need a foundational understanding of artificial intelligence concepts, strong academic performance in relevant fields, and a passion for teaching or mentoring. Familiarity with programming languages (such as Python), AI frameworks (like TensorFlow or PyTorch), and learning management systems is often required. Excellent communication, patience, and adaptability help you effectively support and engage students with diverse learning needs. These skills ensure you can convey complex AI topics clearly, foster a supportive learning environment, and contribute positively to students’ educational experiences.
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Internship Ai Tutor jobs near you
Infographic showing various Internship Ai Tutor job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX • On-site

Full-time

Re-posted 6 days ago

Job description

As a Junior Software Engineer with Texas Sports Academy, you'll help build the software that runs our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.

What You Will Be Doing
  • Building and shipping product features across the full stack every week, with AI coding tools running alongside you.
  • Contributing to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them.
  • Working directly with the founders and senior engineers on scope and trade-offs, no PM layer in between.
  • Picking up ownership of smaller systems end-to-end and growing into bigger ones.
  • Running your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and getting sharper at it every week.
  • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.
What You Will NOT Be Doing
  • Pretending AI is optional. If you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you.
  • Sitting in status meetings all day. Few meetings, more shipping.
  • Working on a narrow slice of a giant codebase.
  • Waiting around for tickets. You'll be in the room when we decide what to build.
Key Responsibilities
  • Ship production code and AI features that real students, parents, and staff rely on every day.
  • Own smaller systems and features end-to-end as you ramp up.
  • Move fast. Features go from idea to production in days, not quarters, without breaking things.
  • Level up your AI-engineering chops alongside a senior team.

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
  • 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count.
  • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
  • Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
  • Excellent written English.
  • Based in Austin, TX.
Nice to Have
  • At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
  • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
  • Public GitHub or a personal AI project we can actually try.
  • A personal project you built because you wanted to.
  • Background in education, edtech, or sports.