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7 hours ago
At the forefront of AI, quality data is crucial for the success of Large Language Models (LLMs).
We are seeking a skilled professional to:
- Automate pipelines ensuring reliability, safety, and relevance of training datasets.
- Validate data quality through experiments and evaluation frameworks.
- Design scalable data workflows with annotation teams.
Requirements include:
- Strong understanding of LLM training & evaluation methodologies.
- Proficiency in Python, PyTorch, Hugging Face, and data tooling.
- Ability to analyze model diagnostics and translate them into actionable insights.
- Self-starter mindset, comfortable working at research intersections.
Join our mission-driven AI projects that push model reliability boundaries and shape data pipelines influencing next-generation AI systems.
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