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.
AI Experimentation Analyst Remote in Mississauga employer: DataAnnotation
At DataAnnotation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a real impact in the field of AI and electronics. As an Electrical Engineer AI Evaluator, you will enjoy flexible remote work options, competitive compensation, and opportunities for professional growth, all while contributing to cutting-edge projects that shape the future of technology. Join us to be part of a dynamic team where your expertise is valued and your contributions drive meaningful advancements.
