Fully Remote AI Evaluation Scientist: Data & ML

Synthires; Hong Kong; Remote; HKD 2,649,000 - 3,028,000; Full time

Benefits offered by this job

Fully remote

Project-based work

Rolling applications

Job summary

Synthires in Hong Kong is seeking experienced Data Scientists and Quantitative Professionals to improve how AI systems reason about data, statistics, ML, experimentation, and quantitative analysis.

Ideal candidates bring strong data science and analytics backgrounds, Python expertise with Pandas/NumPy/Scikit-learn, and the ability to work independently in a remote setting. This project-based, fully remote role offers rolling applications.

Qualifications

• Strong expertise in data science, statistics, ML, analytics or related quantitative field.
• Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn.
• Understanding of statistical analysis, hypothesis testing, experimentation, data modeling.

Responsibilities

• Evaluate AI-generated responses involving data science, ML, statistics, and quantitative reasoning.
• Create expert-level prompts, datasets, evaluation tasks, and reference solutions.
• Review analyses, workflows, and experimental methodologies for accuracy and rigor.
• Identify methodological weaknesses and numerical errors in analyses.
• Provide structured feedback and explanations to support model improvement.
• Develop realistic data analysis scenarios and document findings clearly.

Skills

Data science

Statistics

Machine learning

Analytical thinking

Communication

Independent work

Tools

Python

Pandas

NumPy

Scikit-learn

Job description

Synthires in Hong Kong is seeking experienced Data Scientists and Quantitative Professionals to improve how AI systems reason about data, statistics, ML, experimentation, and quantitative analysis.

Ideal candidates bring strong data science and analytics backgrounds, Python expertise with Pandas/NumPy/Scikit-learn, and the ability to work independently in a remote setting. This project-based, fully remote role offers rolling applications.