Shape AI reasoning through experimentation analysis, technical problem-solving, and feedback on quantitative outputs from anywhere remotely.
DataAnnotation is seeking an experienced Experimentation Analyst and AI Trainer for state-of-the-art AI model work. The work centers on evaluating generated quantitative analysis and solving technical problems. Relevant experience includes forecasting, optimization, regression, classification, and statistical inference.
Key Responsibilities: Solve quantitative problems for training and benchmarking AI systems
Evaluate generated statistical and scientific analyses
Review predictive models for real-world validity
Document analytical code and technical explanations clearly




Shape future models through precise quantitative feedback
Requirements: Two-plus years in a quantitative role or research setting
Hands-on experience with experiment design and hypothesis testing
Comfort writing and reviewing analytical code end-to-end
Experience with regression, classification, or time-series forecasting
Bachelor's degree in a quantitative field preferred
Use experimentation, modeling, forecasting, and technical writing to help DataAnnotation develop stronger quantitative reasoning systems.

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📌 AI Experimentation Analyst Remote (Quebec City)
🏢 DataAnnotation
📍 Quebec City