Job Description

Key Responsibilities

Develop, curate, and validate high-quality training and fine-tuning datasets.
Translate multi-step reasoning, abstract concepts, and expert knowledge into clear, machine-trainable formats.
Execute training, fine-tuning, and iterative model optimization experiments.
Design robust evaluation criteria, benchmarks, and edge-case test suites tailored to real-world deployment needs.
Analyze model outputs for reasoning quality, accuracy, consistency, and edge-case behavior.

Qualifications & Requirements

Degree in Computer Science, AI, Data Science, Mathematics, Statistics, Engineering, Physics, or a related quantitative field.
Strong technical foundation in machine learning and modern LLMs, with practical exposure to training, fine-tuning, or evaluation workflows.
Proficiency in Python and familiarity with standard AI/ML tools and libraries.
High standard for experimental rigor, dataset cleanliness, documentation, and scientific reproducibility.
Mandarin Chinese speaking ability is required to collaborate with Mandarin-speaking stakeholders and regional engineering teams in daily work.

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Business Registration No.: 202004228R | License. No. - 20S0118 | EA Registration No. -R22104027