
Data Quality Engineer for AI Innovation
1 day ago
As a Lead Data Quality Engineer - AI Research, you will play a pivotal role in shaping the future of artificial intelligence. We are building at the forefront of data-driven innovation, where the quality of our datasets directly influences the power and reliability of our Large Language Models (LLMs).
Key Responsibilities:
- Automate pipelines to ensure the reliability, safety, and relevance of training datasets.
- Run experiments to validate data quality and implement improvements.
- Design evaluation frameworks to measure consistency and alignment.
- Collaborate with annotation teams to drive scalable, high-quality data workflows.
Requirements:
- Strong understanding of LLM training & evaluation methodologies.
- Proficiency in Python, PyTorch, Hugging Face, and evaluation tooling.
- Ability to translate model diagnostics into actionable insights.
- Self-starter with a consultative mindset, comfortable working at the intersection of research and client success.
Why Join Us?
- Work on mission-driven AI projects that push the boundaries of model reliability.
- Shape data pipelines that directly influence next-generation AI systems.
- Join a fast-scaling AI-first team with global impact.
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