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 accurate 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.

📌 AI Experimentation Analyst Remote (Ottawa)
🏢 DataAnnotation
📍 Ottawa