Social Science Research Assistant

micro1 is seeking Social Science Research Assistants to contribute to a cutting-edge project focused on benchmarking frontier AI capabilities. In this role, you will apply your domain expertise to help train next-generation AI systems, shaping how models learn, reason, and perform through high-quality, real-world research inputs.

Key responsibilities

• Design and author complex, authentic evaluation tasks reflecting real-world research scenarios such as survey analysis, qualitative coding, and literature reviews.
• Source, synthesize, and create realistic research artifacts, including survey instruments, coded data sets, and statistical outputs.
• Define appropriate methodological approaches and provide clear, defensible interpretations aligned with social science best practices.
• Write comprehensive, detailed grading rubrics assessing methodological choices, execution fidelity, and the quality of interpretation.
• Collaborate asynchronously with project leads and reviewers to refine tasks, data, and evaluation frameworks.

Requirements

• Bachelor's or Master's degree in sociology, economics, psychology, political science, or a related social science discipline.
• Minimum 2 years of hands-on experience with survey instrument design, qualitative data coding, and statistical software like SPSS, R, or Stata.
• Demonstrated proficiency in synthesizing diverse research sources and constructing well-documented data artifacts.
• Strong methodological rigor and a commitment to accurate, reproducible research practices.
• Proficient written English skills suitable for authoring technical research content and evaluation materials.

What we offer

• The opportunity to contribute to the development of frontier AI systems using your specialized domain knowledge.
• A fully remote working environment with asynchronous collaboration.
• Output-based compensation structure allowing for flexible task management.