Data Operations & Integrity Intern (Remote)

We are an early-stage, stealth consumer tech company building a next-generation platform powered by massive B2B datasets. Right now, we are building and ingesting high-velocity data pipelines tracking millions of company profiles and corporate structures.
We are seeking a sharp, meticulous Data Operations & Integrity Intern (Remote, India) to act as a core gatekeeper of our data infrastructure. This is a true 0-to-1 opportunity designed specifically for hungry, early-stage university students (Years 1 to 3) who want deep, early exposure to real-world data operations at scale. You will work side-by-side with the co-founders on a daily basis.
Duration: 6 Months (Preferred)
Target Candidates: Currently enrolled in University (Years 1, 2, or 3)
What You Will Do:
Monitor, audit, and clean large-scale incoming data batches containing company structures and institutional metadata.
Interrogate data to identify parsing failures, system anomalies, and missing elements within the ingestion loop.
Cross-reference massive datasets to ensure high accuracy before they hit our live product algorithms.
Collaborate directly with the founders to build better data-mapping playbooks, helping turn your manual QA insights into automated engineering rules.
Who You Are:
You are a 1st, 2nd, or 3rd-year university student based in India looking to build an elite resume.
You possess an uncompromising, near-obsessive eye for detail (missing structural discrepancies or broken data fields genuinely bothers you).
You have strong foundational skills navigating spreadsheets (Google Sheets/Excel).
Basic exposure to tech workflows, SQL, or Python scripts is a great bonus, but a high-grit analytical mindset is the primary requirement.
You are self-motivated, comfortable with ambiguity, and can commit to a remote, 6-month timeline.
Why Join Us?
Foundational Exposure: No corporate red tape. You will see exactly how a tech startup is built from the ground up.
Scale: Your everyday efforts will directly impact how our systems process millions of production records.
Mentorship: Direct 1-on-1 daily collaboration with the founding team.

Work arrangement
Yes