
AI Data Quality Engineer
4 days ago
As a critical member of our team, you will play a key role in ensuring the quality and reliability of our Large Language Models (LLMs).
- Key Responsibilities:
- Automate data pipelines to ensure accuracy, safety, and relevance.
- Develop and execute experiments to validate data quality.
- Design evaluation frameworks to measure consistency and alignment.
- Collaborate with cross-functional teams to drive high-quality data workflows.
- Strong understanding of LLM training and evaluation.
- Proficiency in Python, PyTorch, Hugging Face, and relevant 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.
- 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.
What We're Looking For: If you're passionate about data-centric AI and want to work where data quality meets model excellence, let's discuss your qualifications.
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