Remote Quantitative AI Trainer

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 strong writing skills

Apply quantitative expertise, experiment design, and coding skills to evaluate and improve DataAnnotation AI systems remotely.