Evaluate quantitative AI outputs remotely while applying statistical methods, predictive modeling, and rigorous analytical judgment on your own schedule.
DataAnnotation seeks an experienced Experimentation Analyst and AI Trainer to support AI development. You will assess whether analytical and scientific reasoning holds up in practice. Your background may include data science, economics, biostatistics, astrophysics, or another quantitative field.
Key Responsibilities: Evaluate statistical analysis and predictive modeling for technical accuracy
Assess scientific reasoning and data-driven insights for validity
Design quantitative problems for AI training and benchmarking
Write clear technical explanations and analytical code
Provide feedback shaping quantitative AI reasoning
Requirements: Two or more years in quantitative work or research
Coding experience writing and reviewing analytical code end-to-end
Experience with statistical methods and predictive modeling
Practical experiment design experience, including A/B testing
Fluent English and solid writing skills
Apply quantitative expertise, experiment design, and coding skills to evaluate and improve DataAnnotation AI systems remotely.

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📌 Remote Quantitative AI Trainer (New Brunswick)
🏢 Talantir
📍 New Brunswick