Evaluate AI-generated analysis remotely as a Computational Neuroscientist and AI Trainer, applying quantitative reasoning and analytical coding skills. Choose your schedule.
DataAnnotation seeks an experienced Computational Neuroscientist and AI Trainer to help advance AI development. You will assess statistical analysis, predictive modeling, scientific reasoning, and data-driven insights. Your feedback will help validate model outputs against real-world quantitative practice and improve how AI systems reason about data and scientific problems.
Key Responsibilities:
- Evaluate AI-generated quantitative work for technical accuracy
- Design quantitative problems for training and benchmarking AI
- Solve forecasting, optimization, and statistical inference problems
- Write clear technical explanations and analytical code
- Provide feedback shaping quantitative reasoning models
Requirements:
- Two-plus years in a quantitative role or research environment
- Some coding experience reviewing analytical code end-to-end
- Practical statistical methods and predictive modeling experience
- Experience with experiment design, including hypothesis testing
- Fluent English and strong writing skills
Apply computational neuroscience, statistical reasoning, predictive modeling, and coding expertise to evaluate and improve AI systems remotely.
Computational Neuroscientist AI Trainer in Moncton 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.
