
AI Data Quality Specialist
2 days ago
We are at the forefront of Artificial Intelligence, where data quality directly impacts the power of Large Language Models (LLMs).
As a Machine Learning Engineer - Data Quality Lead, you will be responsible for automating pipelines to ensure reliability, safety, and relevance of training datasets.
- Proxy fine-tuning and reward modeling experiments will validate data quality.
- Evaluation frameworks will measure consistency and alignment.
To excel in this role, you should have a strong understanding of LLM training and evaluation, proficiency in Python, PyTorch, Hugging Face, and evaluation tooling, and ability to translate model diagnostics into actionable insights.
This is an opportunity to work on mission-driven AI projects that push the boundaries of model reliability and shape data pipelines that directly influence next-generation AI systems.
Key Skills: Machine Learning, Data Quality, Python, PyTorch, Hugging Face, Evaluation Tooling
Benefits: Mission-driven AI projects, data-centric AI, data quality meets model excellence
Why Apply: As a key member of our AI-first team, you will contribute to global impact and drive scalable, high-quality data workflows.
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