Data Validation Intern - Gujarati

Company Introduction:

Varaha is a global, leading, climate tech venture focused on carbon removal solutions such as - regenerative agriculture, afforestation, biochar, and enhanced rock weathering - that support smallholder land stewards at scale. In just the third year of operation, we are removing and avoiding more than 1 million tons of CO2 and distributing the majority of the revenues to more than 100,000 smallholder land stewards in South Asia and Sub-Saharan Africa. Backed by leading global investors, our founding and management team comes with a stellar track record of successfully scaling projects and products to millions of smallholder land stewards at leading Agriculture and tech businesses.

Position : Data Validation Intern - Gujarati

Location: Work From Home / Remote

Duties and Responsibilities:

  • Perform day-to-day data validation for Biochar and ARR projects
  • Cross-verify data from multiple sources to ensure accuracy, completeness, and reliability
  • Review and validate land records across different states, ensuring correctness of ownership and classification details
  • Identify inconsistencies, missing values, and errors in datasets, and take corrective actions
  • Maintain high standards of data quality by following defined SOPs and validation frameworks
  • Work with large datasets using MS Excel or Google Sheets (sorting, filtering, basic formulas, etc.)
  • Maintain proper documentation of validation processes and findings
  • Ensure timely completion of assigned tasks while maintaining accuracy
  • Uphold data confidentiality and security standards.

Required Qualifications & Skills:

  • Bachelor’s degree (or currently pursuing) in Agriculture or related fields.
  • Ability to validate data in a consistent, structured, and disciplined manner
  • Proficiency in MS Office (especially Excel) or Google Sheets
  • Good analytical and problem-solving skills
  • Ability to manage repetitive tasks with focus and consistency
  • Proficiency in Gujarati and English (both written and spoken) is mandatory
  • Basic knowledge of GIS or mapping tools
  • Familiarity with data cleaning and preprocessing techniques
  • Exposure to carbon projects, sustainability, or climate-related domains
  • Understanding of Indian land record systems and digitization platforms
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