Research Engineer I (AI Evaluation, Trust Technologies)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

NTU's National Centre for Research in Digital Trust (DTC) is hiring a Research Engineer to evaluate AI systems, build test datasets, and develop prototypes. You will work with external partners, design evaluation frameworks and provide actionable recommendations to improve trustworthiness and safety of AI in real-world conditions.

The role focuses on practical assessment, error analysis, and communicating results to diverse audiences while contributing to a national program to position Singapore

Qualifications

• Bachelor's degree or equivalent in CS/engineering/data science.
• Strong Python and ML workflow experience.
• Familiarity with NLP and large language models.
• Experience in evaluation methodology or data annotation is a plus.
• Ability to work independently under tight timelines.

Responsibilities

• Design evaluation frameworks, datasets and scoring methods for AI/ML systems.
• Develop annotation guidelines and monitor labelling quality.
• Conduct error analysis and translate findings into improvement recommendations.
• Run experiments with large language models and build tooling.
• Communicate results clearly to technical and non-technical audiences.

Skills

Python

ML workflows

NLP

Communication

Independent work

Data analysis

Education

Bachelor's degree in computer science, engineering, data science

Job description

Nanyang Technological University's National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for its people and businesses by providing businesses and consumers with greater assurance and confidence as they digitalize.

We are looking for a Research Engineer to support the evaluation and validation of AI systems developed at the Centre. The role focuses on assessing how reliably these systems perform in real-world conditions - designing evaluation methods, building test datasets, analysing where and why models succeed or fail, and contributing to the development of prototypes and tooling. This work underpins the Centre's mission of ensuring that emerging technologies are trustworthy, fair, and safe in practice.

Key Responsibilities:

The National Centre for Research in Digital Trust (DTC) at NTU is seeking a Research Engineer to support the evaluation and validation of AI systems. This role combines hands-on technical work with regular engagement with external partners. You will:

• Work directly with project partners and clients - participating in requirement discussions and technical meetings, preparing materials, and following up on action items.
• Design evaluation frameworks, test datasets, and scoring methodology for AI and ML systems.
• Develop annotation guidelines and monitor labelling quality.
• Conduct error analysis and translate findings into clear recommendations for improvement.
• Run structured experiments with large language models, and build supporting prototypes and tooling.
• Communicate results clearly to both technical and non-technical audiences.

Job Requirements:

• Bachelor's degree in computer science, engineering, data science, or a related field.

• Confidence to engage directly with external partners and clients, and the ability to explain technical concepts clearly to non-technical audiences.

• Proficiency in Python, with practical experience in ML workflows including model evaluation and error analysis.

• Working knowledge of NLP and hands-on experience with large language models.

• Experience in evaluation methodology or data annotation will be a strong advantage.

• Careful, methodical, and able to work independently under tight timelines.

We regret that only shortlisted candidates will be notified.