
Machine Learning Data Quality Specialist
2 weeks ago
Job Title: Data Quality Engineer
We're seeking a talented individual to lead our data quality efforts in machine learning.
This role involves automating pipelines for reliable, safe, and relevant training datasets. You will also run experiments to validate data quality and design evaluation frameworks to measure consistency and alignment.
You'll collaborate with annotation teams to drive high-quality data workflows and ensure the reliability of large language models (LLMs).
Key Responsibilities:
- Automate data pipelines for reliability, safety, and relevance.
- Run proxy fine-tuning and reward modeling experiments.
- Design evaluation frameworks for measuring consistency and alignment.
- Collaborate with annotation teams for scalable, high-quality data workflows.
Requirements:
- Strong understanding of LLM training & evaluation (SFT, RLHF, 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.
Why Join:
- Work on mission-driven AI projects pushing model reliability boundaries.
- Shape data pipelines influencing next-generation AI systems.
- Join a fast-scaling AI-first team with global impact.
If you're passionate about data-centric AI and want to work where data quality meets model excellence, let's talk.
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