Help train advanced AI systems by evaluating scientific reasoning, predictive modeling, and quantitative analysis in a flexible remote research-focused role.
Behavioral 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 scientific, analytical, and quantitative reasoning.
Role Overview
DataAnnotation is seeking Behavioral 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 statistical reasoning, predictive modeling, scientific analysis, and technical problem solving. Your expertise will help ensure that AI-generated outputs are both technically accurate and practically useful in real-world quantitative contexts.
This role is ideal for professionals in behavioral science, data science, economics, biostatistics, operations research, psychology, epidemiology, 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
- Scientific reasoning
- Design and solve quantitative problems used to benchmark AI systems
- Write clear technical explanations and well-documented analytical code
- Provide structured feedback that improves AI reasoning and decision-making capabilities
- Contribute to the development of AI systems focused on analytics and quantitative intelligence
Required Skills & Qualifications
- Minimum 2 years of experience in:
- Behavioral science
- Data science
- Statistics
- Economics
- Finance
- Physics
- Biology
- Epidemiology
- Operations research
- Related quantitative disciplines
- Experience with:
- Statistical methods
- Predictive modeling
- Experiment design
- Hypothesis testing
- Regression analysis
- Classification models
- Time-series forecasting
- Some coding experience required
- Comfortable writing and reviewing analytical code
- Strong written communication and technical explanation skills
- Fluency in English (native or bilingual level)
Preferred Qualifications
- Bachelor’s degree in:
- Statistics
- Computer Science
- Mathematics
- 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
- Some contributors use this as supplemental work, while others pursue it full-time
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
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