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machine learning ai workflows llm annotationπ Description
- Partner with Product and Engineering to define annotation needs and priorities
- Own end-to-end annotation delivery, designing workflows and scalable processes
- Translate requirements into annotation guidelines with policy experts
- Lead training and onboarding for annotation teams and feedback loops
- Monitor projects with key metrics and share insights with partners
- Collaborate with R&D on LLM-driven AI workflows
π― Requirements
- Experience managing annotation projects or data ops in ML/AI
- Familiar with LLM/AI-driven annotation and human-in-the-loop
- Skilled at leading multiple projects and navigating ambiguity
- Structured, detail-oriented approach to building processes
- Clear communicator aligning technical and non-technical teams
- Collaborates with cross-functional partners in fast-paced environments
π Benefits
- Health insurance
- Six-month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
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