
Cohere
Mid
Prove your data-quality and eval rigor for training frontier LLMs at Cohere
Cohere is hiring a Member of Technical Staff for its Modeling team to design data collection tasks, evaluate dataset quality, and assess the robustness of its large language models. This role sits at the intersection of statistics, human-annotation experimental design, and hands-on LLM training, remote-friendly across Cohere's global offices.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Experimental design with human annotators
- Statistical evaluation of dataset/model quality
- LLM training on distributed infrastructure
- Model robustness and generalizability analysis
- Cross-functional collaboration with researchers and annotators
常见提问方向
Design a data collection pipeline with human annotators and quality controls
Statistical methods for evaluating dataset reliability and bias
Diagnosing why a model fails to generalize across use cases
Hands-on experience fine-tuning LLMs on distributed training infrastructure
Communicating data-driven findings to cross-functional research/engineering teams
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