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Rupeek logo — Rupeek GenAI Data Curation Intern in Noida, Uttar Pradesh
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GenAI Data Curation Intern

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Location

Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Generative AI

Apply Now — ₹25,000/moApply on Company Website ↗

About the Internship

Rupeek is hiring a GenAI Data Curation Intern in Noida — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to dataset curation for generative models rather than a certificate-only programme. About the role As a GenAI Data Curation Intern at Rupeek, your…

About Rupeek

Rupeek offers a mentor-led GenAI Data Curation Intern in Noida with live project work in generative ai, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
Noida, Uttar PradeshVerified employer10 openings
Apply to Rupeek

Skills Required

PythonData Cleaning & DeduplicationPandasData Labelling & QALicensing & ProvenanceTokenisationSynthetic Data GenerationSQLDocumentationAttention to Detail

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA, MCA, B.Sc (CS / Statistics) or M.Sc who are based in or willing to work from Noida. You should be keen to learn Python, Data Cleaning & Deduplication, Pandas on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 3 months

Apply Now →
Openings10 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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