Use statistical methods and predictive modeling to evaluate AI outputs remotely for DataAnnotation, with adaptable scheduling across approved countries. Technical accuracy matters.
DataAnnotation is seeking an experienced quantitative practitioner to support AI model development. The work involves evaluating generated analysis, solving technical problems, and explaining whether outputs hold up in practice. Your expertise may come from data science, economics, statistics, physics, biology, or another quantitative field.
Key Responsibilities: Assess statistical analysis and predictive modeling outputs
Validate scientific reasoning and data-driven insights
Develop problems covering forecasting and experimental analysis




Review and write well-documented analytical code
Shape AI models through direct technical feedback
Requirements: Two-plus years of quantitative hands-on experience
Comfort writing and reviewing analytical code
Experience with statistical methods and predictive modeling
Practical experiment design experience, including A/B testing
Bachelor's degree in a quantitative field preferred
Bring quantitative analysis, experiment design, coding, and scientific reasoning to DataAnnotation's remote AI evaluation work.

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📌 Quantitative AI Model Evaluation Scientist (Quebec City)
🏢 DataAnnotation
📍 Quebec City