Data Science Specialist - AI Trainer Project
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仕事内容
Lead the development and evaluation of prompts to train large language models for analytical discovery.
Converse with AI models on project scenarios, verify factual accuracy, and document reproducible error traces.
Explore topics across ML, statistical modeling, NLP, time series, and deep learning to stress-test model reasoning.
Design feature engineering, anomaly detection, and real-world data pipelines while maintaining clear, metacognitive communication.
Collaborate to improve prompt engineering and evaluation metrics through thorough documentation and feedback.
Ideal candidates hold a master’s or PhD in a quantitative field, with cloud and open-source experience, and a focus on transparent reasoning.
Converse with AI models on project scenarios, verify factual accuracy, and document reproducible error traces.
Explore topics across ML, statistical modeling, NLP, time series, and deep learning to stress-test model reasoning.
Design feature engineering, anomaly detection, and real-world data pipelines while maintaining clear, metacognitive communication.
Collaborate to improve prompt engineering and evaluation metrics through thorough documentation and feedback.
Ideal candidates hold a master’s or PhD in a quantitative field, with cloud and open-source experience, and a focus on transparent reasoning.
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