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Move My Stuff/Air Move · Remote

Mentor: AI & Vibe Coding

Remotepart timePosted 8 days ago
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anthropicgitgithubsupabasellmcopilotjavascripttypescriptpythonnext.jsopenai

AI & Vibe Coding Mentor (Remote, Part-Time)

VMotiv8 Education – Online Mentor | Independent Contractor

Help ambitious middle and high school students ship real AI products—not toy tutorials. Mentor grades 8–12 from idea to launched application using AI-native tools (Cursor, Claude Code, Replit, Lovable, v0, Bolt) plus real engineering fundamentals.

About VMotiv8

VMotiv8 Education is a boutique college admissions and edtech company (Atlanta, GA) with 13+ years of guiding students to Ivy League/Top 20 outcomes (95% top-choice acceptance; $59M+ scholarships). Our Passion Project program pairs students with industry mentors to build startups, research papers, AI apps, and prototypes that stand out in admissions.

What You’ll Do

- Run weekly 60-minute online sessions (1:1 or small group) moving students from idea → scoped MVP → launched product with real users.

- Teach AI-native development: prompt-driven scaffolding, AI pair programming, reviewing/correcting generated code, and knowing when to stop trusting the model.

- Build fundamentals alongside tools: Git/GitHub, debugging, APIs/auth, databases (e.g., Supabase), deployment (e.g., Vercel), and basic security/privacy hygiene.

- Guide LLM-powered features: model API calls, prompt design, retrieval, evaluation, cost control, and responsible-use guardrails.

- Coach product thinking: user interviews, problem statements, MVP scope, launch plans, and tracking against a North Star metric.

- Help students create tangible proof points: launched apps, hackathon wins, Congressional App Challenge entries, open-source contributions, short technical write-ups.

- Package work for college applications: demo videos, strong READMEs, project descriptions, and interview talking points.

- Log session notes and progress in the VMotiv8 platform after every session; contribute to monthly family progress reports.

Who You Are

Required

- 2+ years building software professionally (or equivalent shipped-product record).

- Daily, hands-on use of AI coding tools (Cursor, Claude Code, Copilot, Replit Agent, Lovable, or similar).

- Proficiency in JavaScript/TypeScript or Python; comfort with a full-stack framework (e.g., Next.js) and a hosted database.

- At least one end-to-end product you’ve built, deployed, and put in front of real users.

- Ability to explain technical concepts clearly and patiently to a 14-year-old—without dumbing them down.

Preferred

- Experience teaching/tutoring/mentoring (hackathons, bootcamps, coding clubs).

- Startup/founder or product management background.

- Working knowledge of ML fundamentals and model evaluation.

- Public portfolio (GitHub, personal site, Product Hunt, Devpost).

Mentorship Model

- Fully remote; 1 session/week/student (60 minutes each).

- Most students available weekday evenings/weekends (US time zones).

- Six-month roadmap per student with a defined North Star metric.

- Minimum 6-month commitment; mentors typically start with 2–4 students.

- Reliable high-speed internet, quiet space, camera-on sessions; background check required.

What We Offer

- Flexible, fully remote work that fits around a full-time job or graduate program.

- Motivated, prepared students supported by engaged families.

- Roadmaps, playbooks, and a platform so you can focus on mentoring.

- A track record you can point to: launched products, competition wins, admissions results.

- Growth paths into lead mentor, curriculum, and program leadership as VMotiv8 scales.

Pay: ₹1,000.00 - ₹3,000.00 per hour

Expected hours: 25.0 – 30.0 per week

Benefits:

- Work from home

Application Question(s):

- Have you built and deployed at least one real product used by real users? Explain in 2-3 lines, AI generated answer's will be rejected automatically.

- Do you have a public portfolio (GitHub, personal site, Product Hunt, Devpost)? Provide link.

- Experience with LLM APIs (OpenAI, Anthropic, etc.)?

Work Location: Remote

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