AI Trainer- Data Science

Data Science AI Trainer Overview

• The Data Science AI Trainer role offers a unique opportunity to contribute to AI training initiatives in a flexible, remote environment.
• Engage in a 12-week program requiring 30–40 hours per week, with flexible scheduling options.
• Collaborate on designing challenging data science tasks to enhance AI systems’ accuracy and reliability.
• Leverage your expertise in data science to evaluate and annotate AI-generated responses.
• Work in a structured, remote setting, focusing on improving AI tools for data professionals.
• Contribute to the development of AI systems by providing expert-level solutions and feedback.
• Enjoy competitive hourly compensation and the flexibility to work from anywhere in the United States.

Data Science AI Trainer Key Responsibilities & Duties

• Evaluate AI-generated responses to data science prompts for accuracy and rigor.
• Design realistic and challenging data science problems for AI training purposes.
• Provide clear, expert-level solutions and explanations for model training.
• Identify and correct errors or ambiguous outputs in AI responses.
• Maintain consistent quality and productivity throughout the engagement period.
• Collaborate with a team to refine AI tools used by data professionals.
• Commit to the structured timeline and deliverables of the 12-week program.

Data Science AI Trainer Job Requirements

• Minimum 2 years of professional data science experience; 5+ years preferred.
• Proficiency in Python and/or SQL, with the ability to write and interpret analysis code.
• Strong written communication skills to explain complex concepts clearly.
• Availability to commit 30–40 hours per week for the full 12-week engagement.
• Bachelor’s degree in a quantitative field; advanced degrees are a plus.
• Comfortable working independently in a remote, self-directed environment.
• Familiarity with AI/LLM tools and their applications in data science.