Computational Neuroscientist – AI Trainer

About the role

DataAnnotation is looking for experienced quantitative professionals to work remotely as AI Trainers. You will help shape cutting‑edge AI systems that perform scientific and analytical reasoning by evaluating and improving their outputs.

Key responsibilities

• Evaluate AI‑generated quantitative work, including statistical analysis, predictive modeling, and scientific reasoning, for technical accuracy and real‑world validity.
• Design and solve quantitative problems used to train and benchmark AI models, covering forecasting, experimental analysis, optimization, and statistical inference.
• Write clear technical explanations and well‑documented analytical code.
• Provide feedback that directly influences the next generation of AI models for quantitative reasoning.

Required profile

• 2+ years of hands‑on experience in a quantitative role or research environment (e.g., data science, economics, physics, biology, operations research).
• Comfortable writing and reviewing analytical code end‑to‑end.
• Practical experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time‑series forecasting).
• Fluency in English with strong written communication skills.
• Bachelor’s degree in a quantitative field is preferred.

Required skills

• Coding (analytical code development and review)
• Statistical methods
• Predictive modeling
• Experiment design
• A/B testing
• Hypothesis testing
• Regression analysis
• Classification techniques
• Time‑series forecasting

What we offer

• Fully remote work from the US, Canada, UK, Ireland, Australia, or New Zealand.
• Flexible schedule – choose projects and work times.
• Competitive hourly pay ranging from $50 to $100+ with bonuses for high‑quality, high‑volume work.
• Opportunity to impact the future of AI systems that reason about data and analytics.