AI Model Trainer: Data-Centric ML for Small Domain Models

Gateway Search; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Gateway Search is seeking an AI Model Trainer in Singapore to support the development, training, evaluation, and optimization of small, domain-specific AI models. You will curate datasets, annotate data, and collaborate with engineering and product teams to translate business needs into training data and evaluation metrics.

The role emphasizes data quality, model evaluation, and continuous optimization across NLP and ML tasks, with opportunities to influence model performance in real-world

Qualifications

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Engineering, Linguistics, Cognitive Science, or related discipline.
• Approximately 1–3+ years of relevant experience in AI model training, machine learning data preparation, data annotation, model evaluation, algorithm testing, NLP, CV, or related field.
• Good understanding of fundamental ML concepts including training/validation/test datasets, model accuracy, precision, recall, and overfitting.
• Hands-on experience preparing, labeling, reviewing, cleaning, or improving datasets for AI/ML model training.

Responsibilities

• Develop, curate, clean, and refine high-quality datasets for small, domain-specific AI models.
• Support model training, fine-tuning, testing, and optimization for business applications.
• Annotate, review, and validate training data for accuracy and consistency.
• Evaluate model outputs against quality standards: accuracy, relevance, consistency, robustness, task completion.
• Design evaluation criteria, test datasets, benchmarking methodologies, edge cases and failure scenarios.
• Identify recurring model issues and provide structured recommendations for improvement.
• Analyze relationship between training data quality and model performance to refine datasets.
• Develop and maintain annotation guidelines, labeling standards, and QC processes.
• Support workflows such as supervised fine-tuning, incremental training, data augmentation, and synthetic data generation.
• Collaborate with AI/ML engineers and product teams to translate requirements into datasets and evaluation metrics.
• Conduct continuous model testing across normal and edge cases to improve reliability.
• Track model performance across iterations and report improvements and regressions.
• Stay up to date with developments in small language models, domain-specific models, ML evaluation methodologies.

Skills

Data annotation

NLP

Model evaluation

Python scripting

Critical thinking

Communication

Education

Bachelor's in CS/AI/Data Science

Tools

PyTorch

TensorFlow

Hugging Face

scikit-learn

SQL

Job description

Gateway Search is seeking an AI Model Trainer in Singapore to support the development, training, evaluation, and optimization of small, domain-specific AI models. You will curate datasets, annotate data, and collaborate with engineering and product teams to translate business needs into training data and evaluation metrics.

The role emphasizes data quality, model evaluation, and continuous optimization across NLP and ML tasks, with opportunities to influence model performance in real-world