14D AGO

Social Science Research Assistant

micro1 / Social Science Research Assistant

RATE

$30 - $50/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

Role Title: Social Science Research Assistant Role Type: Contractor Location: Remote micro1 is engaging Social Science Research Assistants to contribute expertise to a cutting-edge customer project focused on benchmarking frontier AI capabilities. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Design and author complex, authentic evaluation tasks reflecting real-world research scenarios in your field (e.g., survey analysis, qualitative coding, literature review, statistical analysis). • Source, synthesize, and create realistic research artifacts, including survey instruments, coded data sets, statistical outputs, and source documents. • Define appropriate methodological approaches and provide clear, defensible interpretations aligned with social science best practices. • Write comprehensive, 35+ item grading rubrics assessing methodological choices, execution fidelity, and quality of interpretation. • Ensure all crafted tasks mirror the complexity and nuance of advanced, day-to-day research work—avoiding simplified or textbook-style exercises. • Collaborate asynchronously with project leads and reviewers to refine tasks, data, and evaluation frameworks. • Maintain high standards of rigor, detail, and transparency throughout all deliverables. Preferred

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, literature reviews, and statistical software (e.g., SPSS, R, Stata).
▸Demonstrated proficiency in synthesizing diverse research sources and constructing well-documented data artifacts.
▸Strong methodological rigor and commitment to accurate, reproducible research practices.
▸Experience developing or applying comprehensive grading rubrics or evaluation guidelines.
▸Comfort with detailed, methodical, and sometimes tedious research assignments across multiple data types and sources.
▸Proficient written English skills suitable for authoring technical research content and evaluation materials.
▸Compensation Structure