Data Validation Intern (Odia Speakers).

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 - Odia

Location: Work From Home

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 Odia 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