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Cohere

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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.

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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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