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Full Time Ai Tutor Jobs (NOW HIRING)

United Airlines

Junior AI & Metadata Engineer

Columbia, SC

$56K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Social well-being benefits like subsidized back-up child/elder care and tutoring * Mentoring ... For this role, the gross annual base salary range is $56186 to $87556 for a full-time position.

United Airlines

AI/ML Engineer

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... care and tutoring Mentoring, coaching and learning programs Employee Resource Groups nd ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Moore

Lead Agentic AI Engineer - Remote US

Lanham, MD · Remote

$165K - $175K/yr

  • Medical

  • PTO

Small nonprofits change the world every day - feeding neighbors, rescuing animals, tutoring kids ... This is a full-time, salaried position open to candidates in the US who are eligible to work ...

Sogeti

AI Product Engineer

Austin, TX · On-site

$80K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Subsidized Back-up Child/Elder Care & Tutoring * Career Planning & Coaching * $5,250 Tuition ... Full time regular employees are eligible for paid time off, medical/dental/vision insurance ...

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How much do full time ai tutor jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for full time ai tutor in the United States is $20.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $24.04 per hour, depending on experience, location, and employer.

What is a full time AI tutor?

Full Time AI Tutors are professionals who provide ongoing support, instruction, and guidance to students or employees learning about artificial intelligence concepts, tools, and applications. They may work in educational institutions, online platforms, or corporate training environments, helping learners understand everything from basic AI principles to advanced machine learning techniques. Their role typically involves creating lesson plans, answering questions, reviewing assignments, and offering personalized feedback to facilitate effective learning. As full-time employees, they dedicate their working hours to supporting learners and staying updated with the latest developments in AI.

What are some common challenges faced by full time AI tutors when supporting diverse learners?

Full Time AI Tutors often encounter the challenge of addressing a wide range of student backgrounds, learning styles, and proficiency levels. Adapting explanations and providing personalized feedback to ensure all students grasp complex AI concepts can be demanding, especially in large or remote settings. Additionally, staying current with rapidly evolving AI technologies and integrating them effectively into teaching materials requires continuous learning and flexibility. Collaborating closely with other educators and support staff can help overcome these challenges and promote a positive learning environment.

What are the key skills and qualifications needed to thrive as a full time AI tutor, and why are they important?

To thrive as a Full Time AI Tutor, you need a solid understanding of artificial intelligence concepts, programming languages like Python, and a relevant educational background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), online learning platforms, and possibly teaching certifications are typically required. Strong communication, patience, and the ability to tailor complex topics to diverse learning styles are critical soft skills. These skills ensure effective knowledge transfer, student engagement, and successful learning outcomes in a rapidly evolving technical field.
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Full Time Ai Tutor jobs near you
Infographic showing various Full Time 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 $42,053 per year, or $20.2 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX

Full-time

Re-posted 8 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.

Apply