AI Experimentation Analyst Remote

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 environment
• 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.