Help train advanced AI systems by evaluating scientific reasoning, predictive modeling, and quantitative analysis in a flexible remote research-focused role.
Cognitive Scientist - AI Trainer
United States, Canada, United Kingdom, Ireland, Australia, New Zealand
$50 – $100/hr
May 10, 2026
Job description
About DataAnnotation
DataAnnotation develops and improves advanced AI systems by combining cutting-edge machine learning with expert human feedback. Contributors help train AI models capable of sophisticated analytical and scientific reasoning.
Role Overview
DataAnnotation is seeking Cognitive Scientists and quantitative professionals to help evaluate, improve, and benchmark next-generation AI systems.
In this remote AI training role, you will work directly with state-of-the-art AI models on tasks involving quantitative reasoning, statistical analysis, predictive modeling, experimental design, and scientific problem solving. Your expertise will help ensure that AI-generated outputs are technically sound, logically coherent, and practically useful in real-world analytical contexts.
This role is ideal for professionals in cognitive science, psychology, neuroscience, behavioral science, data science, economics, statistics, and related quantitative disciplines.
Key Responsibilities
- Evaluate AI-generated quantitative analysis and scientific reasoning for technical correctness and practical validity
- Review outputs involving:
- Statistical analysis
- Predictive modeling
- Experimental design
- Forecasting
- Optimization
- Data interpretation
- Scientific reasoning
- Design and solve quantitative benchmark problems used to improve AI systems
- Write clear technical explanations and well-documented analytical code
- Provide structured feedback that improves AI reasoning, decision-making, and analytical capabilities
- Contribute to the development of advanced AI systems focused on quantitative intelligence and cognitive reasoning
Required Skills & Qualifications
- Minimum 2 years of experience in:
- Cognitive science
- Psychology
- Neuroscience
- Data science
- Statistics
- Economics
- Operations research
- Related quantitative disciplines
- Experience with:
- Statistical methods
- Predictive modeling
- Experimental design
- Hypothesis testing
- Regression analysis
- Classification models
- Time-series forecasting
- Some coding experience required
- Comfortable writing and reviewing analytical code end-to-end
- Strong written communication and technical explanation skills
- Fluency in English (native or bilingual level)
Preferred Qualifications
- Bachelor’s degree in:
- Cognitive Science
- Statistics
- Mathematics
- Computer Science
- Engineering
- Related quantitative field
- Master’s degree or PhD preferred
- Relevant credentials such as:
- Kaggle rankings
- AWS ML certifications
- GCP ML certifications
- Equivalent demonstrated expertise
Benefits & Work Details
- Fully remote role
- Flexible work schedule
- Choose projects independently
- Competitive hourly compensation with performance bonuses
- Opportunity to contribute directly to advanced AI reasoning systems
- Suitable as either supplemental or primary work
Payment Information
- Payments are processed via PayPal
- DataAnnotation will never request payment from applicants
Eligible Countries
Applicants must be located in:
- United States
- Canada
- United Kingdom
- Ireland
- Australia
- New Zealand
Apply now
You will be redirected to the company's website to complete your application.
Help train advanced AI systems by evaluating quantitative reasoning, statistical analysis, and predictive modeling workflows in a flexible remote role.
Remote STEM Expert role focused on curriculum development, research, and educational initiatives across science and technology fields.