Data Science-AI Trainer

Data Science AI Trainer Overview The Data Science AI Trainer role involves evaluating AI models on real-world data science tasks. Contribute to improving AI systems by designing realistic, challenging tasks based on professional experience. Work remotely with flexible scheduling, engaging in project-based AI training activities. Collaborate with frontier AI labs to enhance human-aligned AI capabilities. Utilize your expertise to assess AI outputs against professional standards. Gain access to advanced AI tools like Claude and ChatGPT for project work. Participate in structured, self-directed tasks requiring clear written reasoning and technical depth. Engage in an innovative role that combines data science expertise with AI evaluation. Contribute to the development of trustworthy AI systems through professional collaboration. Data Science AI Trainer Key Responsibilities & DutiesDesign and execute realistic data science tasks based on professional workflows. Evaluate AI model outputs against professional standards and document findings. Develop grading rubrics and tests to assess deliverables for accuracy and completeness. Identify and flag concrete failures in AI outputs with evidence and reasoning. Contribute to analytics, machine learning, and experimentation tasks. Review and refine tasks created by other experts to ensure quality and relevance. Craft scenarios that test AI systems' ability to perform professional-level work. Provide detailed feedback and revisions to improve AI task outcomes. Collaborate with a team of professionals to advance AI training methodologies. Data Science AI Trainer Job Requirements Bachelor’s degree in a quantitative field, with practical applied work experience. Minimum of 2 years professional experience in applied data science or related fields. Proficiency in Python and SQL for writing and debugging analysis code. Depth in analytics, machine learning, experimentation, or data engineering. Ability to independently own multi-step analyses from raw data to actionable insights. Strong written communication skills to articulate reasoning and evaluate results. Comfort with ambiguity and attention to detail in professional tasks. Familiarity with AI tools and judgment to assess their outputs critically. Availability for at least 10 hours per week in a remote setting.