Start-up Data Internship (unpaid & remote)

About the Role

Join the team building the data backbone behind our AI and automation workflows. You’ll design scrapers, clean messy real-world datasets, and structure information so it can power models, dashboards, and product features. This is hands-on work where reliability and speed matter.

Responsibilities

• Build and maintain web crawlers, scrapers, and data ingestion pipelines (Python, APIs, scraping frameworks).
• Clean, normalize, and structure raw data from multiple sources for analysis or model consumption.
• Implement data quality checks, deduplication logic, and monitoring to keep pipelines stable.
• Document datasets, schemas, transformations, and edge cases.
• Work closely with the AI and product teams to align data collection with upcoming features and experiments.
• Prototype quick data utilities or scripts that solve operational bottlenecks.

You Might Be a Fit If

• You enjoy turning chaotic, unstructured data into something clean and usable.
• You’ve built scrapers or automated data workflows before and understand common failure modes.
• You think in terms of reliability, not just “it works once.”
• You learn by building and iterating, not over-planning.

Why Join

You’ll work directly with founders on the data challenges of a fast-moving tech company, shaping how information flows through real operational systems in a multi-billion-dollar industry.

(Full-time, unpaid internship; strong performance may lead to a full-time offer.)