Research Intern - AI Evaluations

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Skills you'll use

What you'll do

• Applying social science research methods (qualitative and/or quantitative) to the evaluation of AI/ML systems, particularly language technologies
• Contribute to developing AI evaluation and testing methodologies
• Investigating how these technologies interact with and affect the communities they're deployed among, especially in rural and low-resource contexts in India
• Working closely with the Evaluations team to understand both the "build" and "evaluate" sides of AI systems
• Currently pursuing or recently completed an undergraduate or master's degree in a social science discipline (Sociology, Anthropology, Development Studies, Gender Studies, Political Science, Economics, or Science and Technology Studies (STS)
• No technical degree required, but demonstrated interest in and conceptual understanding of AI/ML systems is expected. E.g., through self-directed learning, coursework, or prior projects at the intersection of technology and society
• Strong grounding in social science research methods qualitative, quantitative, or mixed (not a hard requirement, but research training expected)
• Comfort conducting or supporting focus group discussions (FGDs) and field visits

Who can apply

• Currently pursuing or recently completed an undergraduate or master's degree in a social science discipline (Sociology, Anthropology, Development Studies, Gender Studies, Political Science, Economics, or Science and Technology Studies (STS)
• No technical degree required, but demonstrated interest in and conceptual understanding of AI/ML systems is expected. E.g., through self-directed learning, coursework, or prior projects at the intersection of technology and society
• Skills and Competencies
• Strong grounding in social science research methods qualitative, quantitative, or mixed (not a hard requirement, but research training expected)
• Comfort conducting or supporting focus group discussions (FGDs) and field visits
• Conceptual understanding of AI/ML systems - applied AI/ML literacy - enough to engage meaningfully with concepts like model evaluation, human-in-the-loop systems, and language technologies (you don't need to code, but you should be comfortable with how these systems are built and tested)
• Familiarity with socio-technical systems thinking (i.e., understanding technology and society as mutually shaping, not separate concerns)
• Multilingual proficiency in Indian languages is a strong plus
• Background in computational social science is a plus, not a requirement
• Strong written and verbal communication skills

About Karya

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