Clinical Data Scientist – AI Trainer

About the role

Join DataAnnotation’s remote team to evaluate and improve cutting‑edge AI models that perform quantitative analysis. You will work on a flexible schedule, reviewing AI‑generated insights and providing feedback that shapes future system reasoning.

Key responsibilities

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

Required profile

• 2+ years of hands‑on experience in a quantitative role such as data science, statistics, economics, finance, physics, biology, epidemiology, or operations research.
• Comfort writing and reviewing end‑to‑end analytical code.
• Fluency in English with strong written communication skills.

Required skills

• 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 starting at $50–$100+, with bonuses for high‑quality output.
• Opportunity to impact the development of AI systems that reason about data and analytics.