AI Language Model Trainer & Data Curator (Mandarin)

Trulyyy; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

Trulyyy is seeking a data science/ML engineer to develop and curate high-quality training and fine-tuning datasets in Singapore. The role requires translating complex reasoning into trainable formats and executing iterative training experiments to improve model performance.

Candidates should have a strong ML background, practical experience with training/fine-tuning workflows, and fluency in Mandarin for regional collaboration.

Qualifications

• 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.

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.

Skills

ML fundamentals

Experimentation rigour

Education

Bachelor's or higher in CS/AI/Data Science/Math/Stats/Engineering/Physics

Tools

Python

Job description

Trulyyy is seeking a data science/ML engineer to develop and curate high-quality training and fine-tuning datasets in Singapore. The role requires translating complex reasoning into trainable formats and executing iterative training experiments to improve model performance.

Candidates should have a strong ML background, practical experience with training/fine-tuning workflows, and fluency in Mandarin for regional collaboration.