AI Model Evaluation Scientist

Synthires; Dubai; On-site; AED 1,239,000 - 1,417,000; Full time

Job summary

Synthires is seeking experienced Data Scientists and Quantitative Professionals to support an AI project focused on improving how models handle statistics, machine learning, experimentation, and quantitative reasoning.

You’ll evaluate AI-generated outputs, create expert-level data science tasks, and provide rigorous feedback to enhance model performance. Join a team that values analytical rigor and clear communication in an English-speaking environment.

Qualifications

• At least 1 year of experience at a top company in technology, finance, research, or a related field.
• Experience within the past 7 years.
• Strong knowledge of Python, machine learning, statistics, data analysis, experimentation, pandas, and data modeling.
• Strong ability to evaluate quantitative reasoning and statistical methodology.
• Excellent written communication skills for explaining technical and statistical concepts.
• Based in an English-speaking country.

Responsibilities

• Evaluate AI model outputs across data science, statistics, machine learning, and quantitative problems.
• Create expert prompts, datasets, and reference solutions.
• Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
• Provide structured, high-quality feedback to improve AI model capabilities.
• Apply strong analytical judgment when reviewing complex technical solutions.

Skills

Python

Machine learning

Statistics

Data analysis

Experimentation

Pandas

Data modeling

Quantitative reasoning

Job description

Synthires is seeking experienced Data Scientists and Quantitative Professionals to support an AI project focused on improving how models handle statistics, machine learning, experimentation, and quantitative reasoning.

You’ll evaluate AI-generated outputs, create expert-level data science tasks, and provide rigorous feedback to enhance model performance. Join a team that values analytical rigor and clear communication in an English-speaking environment.