
Artificial Intelligence Data Quality Specialist
15 hours ago
We are at the forefront of developing Large Language Models (LLMs), and our success hinges on the quality of the training data.
As an Artificial Intelligence Data Quality Expert, you will be responsible for:
- Designing and implementing automated pipelines to ensure reliability, safety, and relevance of training datasets.
- Collaborating with annotation teams to drive scalable, high-quality data workflows.
- Developing evaluation frameworks to measure consistency and alignment.
The ideal candidate will have a strong understanding of LLM training & evaluation, proficiency in Python, PyTorch, Hugging Face, and evaluation tooling, as well as the ability to translate model diagnostics into actionable insights.
Key responsibilities include:
- Automating data processing pipelines to improve efficiency and accuracy.
- Working closely with cross-functional teams to drive project success.
- Identifying opportunities for process improvements and implementing changes.
This is a challenging role that requires:
- A deep understanding of artificial intelligence and machine learning concepts.
- Strong problem-solving skills and attention to detail.
- Effective communication and collaboration skills.
Join us in shaping the future of AI-driven solutions and take your career to the next level by becoming an integral part of our team. Together, we can make a real impact and push the boundaries of what's possible in this field.
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