
AI Data Quality Specialist
1 day ago
AI Data Quality Specialist
We are building at the forefront of Artificial Intelligence, where the quality of data directly impacts the power of Large Language Models (LLMs).
This role involves ensuring that training datasets are reliable, safe and relevant through automated pipelines.
You will also be responsible for running experiments to validate dataset quality, designing evaluation frameworks to measure consistency and alignment, and collaborating with annotation teams to drive scalable data workflows.
This is an opportunity to work on mission-driven AI projects that push the boundaries of model reliability.
- Strong understanding of LLM training & evaluation, including SFT, RLHF and reward models.
- 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.
Join our fast-scaling AI-first team with global impact to shape data pipelines that directly influence next-generation AI systems.
- Work on diverse AI projects that aim to improve model reliability.
- Collaborate with experts from various backgrounds to enhance data quality.
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