- 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.
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