Social Science Research Assistant
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. This opportunity focuses on designing authentic social science research tasks, creating realistic research artifacts, defining rigorous methodological approaches, and developing comprehensive evaluation frameworks for advanced AI systems.
This job opportunity has expired.
The listing's valid-through date has passed. Its details remain available as a historical reference.
View Current JobsSalary
$30 - $50 / hour
Department
Social Science Research
Experience
2+ years
Responsibilities
- Design and author complex, authentic evaluation tasks reflecting real-world research scenarios such as survey analysis, qualitative coding, literature review, and statistical analysis.
- Source, synthesize, and create realistic research artifacts, including survey instruments, coded datasets, statistical outputs, and source documents.
- Define appropriate methodological approaches and provide clear, defensible interpretations aligned with social science best practices.
- Write comprehensive grading rubrics with 35 or more criteria 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 while 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, transparency, and methodological consistency throughout all deliverables.
Skills
Requirements
- Bachelor's or Master's degree in sociology, economics, psychology, political science, or a related social science discipline.
- Minimum of 2 years of hands-on experience with survey instrument design, qualitative data coding, literature reviews, and statistical software such as SPSS, R, or 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.
Benefits
- Remote contractor opportunity
- Contribute social science research expertise to frontier AI benchmarking
- Work on realistic survey, qualitative research, literature review, and statistical analysis scenarios
- Help develop rigorous AI evaluation tasks and comprehensive grading rubrics
- Output-based compensation for tasks meeting project specifications
- Opportunity to influence how next-generation AI systems perform complex social science research tasks