Related skills
rubric_development metadata_schemas📋 Description
- Design complex AI benchmark evaluation frameworks
- Create realistic prompts for information science tasks
- Develop clear, structured rubrics for scoring
- Generate clean training data for model benchmarking
- Perform QA and fact-checking of data architectures
- Deliver autonomous contractor-level outputs
🎯 Requirements
- Deep expertise in information science, library science, data governance, or knowledge management
- Strong writing and prompt generation for realistic AI evaluation tasks
- Proficiency in rubric development with objective, non-ambiguous scoring criteria
- Meticulous, detail-oriented fact-checking of data architectures and knowledge bases
- Ability to craft realistic scenarios for AI model evaluation
🎁 Benefits
- Remote freelance engagement with flexible schedule
- Autonomy to shape AI benchmarking content
- Contractor-friendly terms and deliverable-driven work
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