Opportunity type
Part-time role
Cause areas
AI safety & policy
Global priorities research
Routes to impact
Direct high impact on an important cause
Skill-building & building career capital
Learning about important cause areas
Skill set
Software engineering
Conceptual & empirical research
Description
MIT’s AI Risk Initiative is hiring a part-time, 6-month contractor ML Engineer to build and improve LLM-augmented pipelines for evidence synthesis and systematic reviews on AI risks.
- Develop and integrate modules for document identification, screening, extraction, and classification to support reviews of global organizations’ AI risk responses
- Build human validation processes and interfaces, and measure pipeline performance against human benchmarks
- Refactor and generalize the pipeline for broader use in risk repositories, incident tracking, and governance mapping
- Collaborate with researchers, document findings, and help automate processes where LLMs can outperform humans
Read more or apply via the official MIT FutureTech portal: https://futuretech.mit.edu/opportunities/ml-engineer---mit-ai-risk-initiative-contractor-part-time-6-months
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