Data Engineering Intern

This is a remote position.

As our Data Engineering Intern, you’ll be at the core of how we train AI. From scraping raw data to refining, annotating, and scripting it into usable formats — you’ll learn how real AI products are built from the ground up. This is not a “clean spreadsheets” internship. This is for someone who wants to see how messy, massive, and magical data becomes intelligence.

What You’ll Own

• Scrape, collect, and organize datasets from multiple sources (web, APIs, communities)
  

• Refine and clean messy data into structured, usable formats
  

• Annotate and label datasets for machine learning training
  

• Write basic scripts (Python/SQL/automation) to process and transform data
  

• Support dataset quality checks, error spotting, and pipeline improvements
  

• Work closely with the AI training team to test and iterate data workflows
  

• Contribute to building scalable data playbooks for future AI projects
  

We’re Excited About You If…

• You’re curious about how data powers AI models
  

• You know your way around Excel/Sheets, and are comfortable experimenting with Python or SQL
  

• You can handle repetitive tasks without losing attention to detail
  

• You enjoy solving small data puzzles — spotting errors, fixing inconsistencies, refining structures
  

• You’re a self-starter who can Google your way out of blockers
  

• Bonus: You’ve worked on a data project (scraping, analysis, or ML experiments) in college or personally
  

Why Parikshak.ai

• Get hands-on experience with real datasets used in AI training
  

• Learn the “behind-the-scenes” work that powers AI products
  

• Work directly with product + AI teams, not just sit siloed on data cleaning
  

• Build a portfolio of data projects that go beyond classroom assignments
  

Perks & Details

• Remote-first, async-flexible
  

• Real mentorship and feedback loops
  

• Performance-based stipend, with conversion opportunities
  

• Great for students / freshers curious about data + AI
  

• Your work will directly fuel the training of AI models that ship live