Opportunities · Part-time opportunity
Campus Ambassador - Internship (WFH & Part Time)
Elip AI (backed By Y Combinator) · Remote (India)
Role overview
What you'll own
- Build and run a student community for your campus - a space where students engage and grow by various clubs tie-ups - like literary, dance, music, entrepreneurship ones.
- is engineering-heavy: retrieval, ranking, pipelines that process large volumes of noisy data, and production LLM systems.
- We're a small, early team working on hard problems in search, ranking, and large-scale data infrastructure.
- If you like shipping to production fast and want to see how a YC company gets built from the ground up, this is a good place to spend a few months.
Requirements and eligibility
- Only those candidates can apply who:
- can start the part time job/internship between 10th Sep'26 and 15th Oct'26
- are available for duration of 2 months
- have relevant skills and interests
Dates for this one
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Posted
Sep 10, 2026
Applications close
Oct 10, 2026
31 days left
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Read the full listing context
Selected intern's day-to-day responsibilities include: 1. Be Elip's presence at your college. Engage students through sessions, club tie-ups, using the playbook, decks, and materials Team Elip gives you.
2. Build and run a student community for your campus - a space where students engage and grow by various clubs tie-ups - like literary, dance, music, entrepreneurship ones.
3. Report weekly on what students are asking for; you're our eyes on campus. Who can apply: Only those candidates can apply who: • can start the part time job/internship between 10th Sep'26 and 15th Oct'26 • are available for duration of 2 months • have relevant skills and interests Stipend: INRPerformance Based Deadline: 2026-10-10 23:59:59 Other perks: Certificate, Letter of recommendation, Flexible work hours Skills required: English Proficiency (Written) and Hindi Proficiency (Spoken) About Company: We're an early-stage YC-backed team building AI systems that operate at scale on real-world data.
The work is engineering-heavy: retrieval, ranking, pipelines that process large volumes of noisy data, and production LLM systems. We're a small, early team working on hard problems in search, ranking, and large-scale data infrastructure.
If you like shipping to production fast and want to see how a YC company gets built from the ground up, this is a good place to spend a few months.
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