Senior Data Scientist - AI Trainer
Job Description
DataAnnotation is building a team dedicated to advancing AI systems that reason with numbers. The Senior Data Scientist - AI Trainer role is remote and flexible, focused on assessing AI-generated quantitative work and shaping next-generation models for quantitative reasoning across forecasting, analysis, and data-driven insights.
Key details
- Location: Plantation, FL with remote work option
- Salary: USD 50 - 100 per hour
- Experience: 2+ years in a quantitative role or research environment
Responsibilities
- Assess AI-produced quantitative outputs across statistics, predictive modeling, scientific reasoning, and data-driven insights for technical accuracy and real-world relevance.
- Design and solve quantitative challenges used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
- Produce clear technical explanations and maintain well-documented analytical code.
- Provide feedback that directly informs the next generation of AI models built for quantitative reasoning.
Requirements
- 2+ years of hands-on experience in a quantitative role or research environment in fields such as data science, statistics, economics, finance, physics, biology, epidemiology, or operations research.
- Some coding experience with the ability to write and review 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).
- Fluent English with strong writing skills.
- Bachelor's degree in a quantitative field is preferred; master's or PhD is a plus.
- Relevant credentials (e.g., Kaggle rankings, AWS/GCP ML certifications) are advantageous.
Benefits
- Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, or New Zealand.
- Flexible schedule to choose projects and timing.
- Competitive pay: hourly rates up to 60 USD on standard projects, with opportunities for higher-paying engagements based on performance.
- Impact: contribute to shaping AI systems designed to reason about data and analytics.
Note
- Payment is processed via PayPal; we will never request money from you.
- This role is available to candidates located in the US, Canada, the UK, Ireland, Australia, and New Zealand.