AI Data Quality Engineer
21 hours ago
We're building large language models and seeking an expert to lead data quality efforts.
- Key Responsibilities:
- Automate pipelines for reliable training datasets.
- Run experiments to validate quality through proxy fine-tuning and reward modeling.
- Design evaluation frameworks to measure consistency and alignment.
- Collaborate with annotation teams for scalable data workflows.
- Requirements:
- Strong understanding of LLM training & evaluation.
- Proficiency in Python, PyTorch, Hugging Face, and evaluation tooling.
- Ability to translate model diagnostics into actionable insights.
- Self-starter with a consultative mindset.
- Shape data pipelines influencing next-generation AI systems.
- Contribute to mission-driven projects.
- Join a fast-scaling AI-first organization.
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