
Data Quality Architect for Artificial Intelligence Systems
24 hours ago
Job Title: Artificial Intelligence Data Quality Expert
At the forefront of Artificial Intelligence (AI), we're pushing the boundaries of Large Language Models (LLMs) to achieve unparalleled reliability. As a Machine Learning Engineer - Data Quality Lead, you'll play a pivotal role in shaping our data pipelines and ensuring the quality of our training datasets.
- Achieve pipeline automation that ensures reliability, safety, and relevance of training datasets.
- Conduct proxy fine-tuning and reward modeling experiments to validate quality.
- Develop evaluation frameworks (human + LLM-as-a-judge) to measure consistency and alignment.
- Collaborate with annotation teams to drive scalable, high-quality data workflows.
Key Responsibilities:
- 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, comfortable working at the intersection of research and client success.
Why Work with 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.
If you're passionate about data-centric AI and want to work where data quality meets model excellence, let's explore this opportunity together.
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