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quality assurance ai prompt engineering data labeling content moderation📋 Description
- Evaluate and improve model safety through labeling, ranking, and auditing.
- Apply nuanced safety judgment using guidelines, rubrics, and style standards.
- Create prompts and safety test cases to evaluate behavior.
- Support data quality by identifying inconsistencies and providing feedback.
- Work with precision and independence in a distributed, asynchronous team.
🎯 Requirements
- 1+ years in Content Moderation, Trust & Safety, AI data annotation, or LLM eval.
- Guideline-driven approach to complex content; strong contextual judgment.
- Emotional resilience; comfortable with unsafe/explicit content.
- Excellent written English; justify evaluations; extra languages a bonus.
- Strong attention to detail; maintain consistency on high-volume tasks.
- Strong remote-work execution; good time management and independence.
🎁 Benefits
- Remote-friendly with distributed team.
- BYOD laptop.
- 12-month contract with potential extension.
- Independent contractor arrangement; project-based work.
- Accommodations available during recruitment.
- Global, asynchronous team.
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