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GenAI Data Curation Intern

InternshipIn OfficePune, Maharashtra3 months21K/mo6 openingsImmediate / Rolling

About this internship

Start your career in dataset curation for generative models with Meta as a GenAI Data Curation Intern in Pune. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a GenAI Data Curation Intern at Meta, your core…

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Skills you'll use

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

What you'll do

  • Work on building the clean, licensed, deduplicated datasets a generative model needs alongside the core team
  • Apply Python, Data Cleaning & Deduplication, Pandas, Data Labelling & QA to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech (CSE/IT), BCA, MCA, B.Sc (CS / Statistics) or M.Sc
  • Graduating batch 2026 or 2027 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Python, Data Cleaning & Deduplication, Pandas (or a genuine willingness to learn them)
  • Exposure to Data Labelling & QA, Licensing & Provenance, Tokenisation is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Pune, Maharashtra or willing to work from there for the internship period

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer

About Meta

Meta operates in the it services & consulting sector and has an active presence in Pune. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The…
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