AI Trainer – Quantitative Analyst (Remote)

About the role

We are looking for experienced quantitative professionals to join DataAnnotation’s remote team as AI Trainers. You will work with state‑of‑the‑art AI models, evaluating and improving their quantitative reasoning on real‑world data problems.

Key responsibilities

• Assess AI‑generated quantitative analyses for technical accuracy and practical validity.
• Design and solve quantitative problems used to train and benchmark AI systems, including forecasting, optimization and statistical inference.
• Write clear technical explanations and well‑documented analytical code.
• Provide 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 or related fields.
• Proficiency in English with strong written communication skills.
• Bachelor’s degree in a quantitative discipline (preferred).

Required skills

• Coding experience for analytical code.
• Statistical analysis and predictive modeling.
• Experiment design, A/B testing, hypothesis testing, regression, classification, 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 ranging from $50 to $100+ with performance bonuses.
• Opportunity to shape cutting‑edge AI systems.