Help train advanced AI systems by evaluating quantitative reasoning, predictive modeling, and scientific analysis in a flexible remote role for cognitive science professionals.
Academic Researcher - AI Trainer
United States, Canada, United Kingdom, Ireland, Australia, New Zealand
$50 – $100/hr
May 10, 2026
Job description
About DataAnnotation
DataAnnotation develops advanced AI systems by combining state-of-the-art machine learning with expert human feedback. Contributors help improve AI models capable of sophisticated analytical, scientific, and quantitative reasoning.
Role Overview
DataAnnotation is seeking Academic Researchers and quantitative professionals to help evaluate, improve, and benchmark next-generation AI systems.
In this remote AI training role, you will work closely with advanced AI models on tasks involving scientific reasoning, statistical analysis, predictive modeling, experimental evaluation, and technical problem solving. Your expertise will help ensure AI-generated outputs are technically rigorous, logically sound, and applicable to real-world research and analytical workflows.
This role is ideal for professionals with academic or research backgrounds in quantitative disciplines including statistics, economics, engineering, operations research, biology, physics, data science, and related fields.
Key Responsibilities
- Evaluate AI-generated quantitative analysis and scientific reasoning for technical accuracy and real-world validity
- Review outputs involving:
- Statistical analysis
- Predictive modeling
- Scientific inference
- Forecasting
- Optimization
- Experimental analysis
- Data interpretation
- Design and solve quantitative benchmark problems used to train AI systems
- Write clear technical explanations and well-documented analytical code
- Provide structured feedback that improves AI reasoning and quantitative capabilities
- Contribute to the development of AI systems focused on scientific and analytical intelligence
Required Skills & Qualifications
- Minimum 2 years of experience in:
- Academic research
- Quantitative analysis
- Scientific research environments
- Data science
- Statistics
- Economics
- Finance
- Physics
- Biology
- Epidemiology
- 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:
- 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 frontier AI reasoning systems
- Suitable as 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
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