
AI Reliability Specialist
4 hours ago
Unlock the Power of AI with Reliable Data
Job Overview:- Data Pipeline Automation: Ensure reliability, safety, and relevance of training datasets.
- Model Quality Evaluation: Run proxy fine-tuning and reward modeling experiments to validate quality.
- Evaluation Framework Design: Measure consistency and alignment using human and LLM-as-a-judge evaluations.
- Collaboration with Annotation Teams: Drive scalable, high-quality data workflows.
Key Responsibilities:
- Strong understanding of Large Language Model (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, comfortable working at the intersection of research and client success.
About Our Mission:
- 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.
We are seeking an expert to lead our efforts in building cutting-edge AI solutions. Join us where data quality meets model excellence, and drive innovation in AI-driven solutions.
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