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Project Manager, Applied AI
About the role
We are looking for a data-driven Project Manager to lead large-scale multilingual data collection and Large Language Model (LLM) evaluation initiatives. Location: Global: Europe, Asia-Pac, Argentina, Mexico. Rate: $20 per hour.
What you'll do
- Manage the full lifecycle of AI data projects, from scoping and guidelines creation to data delivery and post-mortem analysis.
- Oversee large-scale data pipelines for multilingual data collection (audio, text, image) and LLM evaluation (RLHF, SFT, ranking, and safety testing).
- Rigorously monitor and report on throughput, quality, and productivity KPIs including IAA and gold-set performance.
- Run QA loops, root-cause analysis for quality dips, and corrective training for annotator pools.
- Maintain dashboards to visualize project health and flag bottlenecks in real-time.
- Liaise with Applied AI Technical Ops teams and translate technical requirements into clear guidelines for non-technical annotators.
- Facilitate continuous feedback loops where data insights drive updates to annotation guidelines and model fine-tuning strategies.
Requirements
- 3-5+ years of project management experience, specifically within AI/ML data operations.
- Strong understanding of LLM training processes (Pre-training, SFT, RLHF) and evaluation methodologies (Human-in-the-loop, red teaming).
- Advanced proficiency in Excel/Google Sheets; ability to write SQL queries to extract and analyze performance data.
- Proven track record using Agile, Scrum, or Kanban methodologies to manage complex workflows.
- Exceptional ability to write clear, unambiguous guidelines for multilingual audiences.
- Fluency in a second language is highly desirable.
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