Data Science Specialist - AI Trainer Project- Freelance AI Trainer Project

Role overview Use your data science expertise to assess and improve the quality of AI-generated analysis. You’ll test a language model across statistical, machine learning, and data engineering topics, then explain where its reasoning or conclusions fall short.

Responsibilities - Work through practical scenarios and conceptual questions in data science with the model. - Check responses for factual accuracy, sound reasoning, and appropriate methods. - Record reproducible examples of errors and describe how they occur. - Offer feedback on prompts and evaluation measures to help improve model performance. - Explain your reasoning clearly so findings can be understood and reviewed.

Requirements - Expertise in areas such as machine learning, statistical modeling, data engineering, visualization, natural language processing, time series analysis, deep learning, or algorithm development. - Ability to assess topics including supervised and unsupervised learning, regression, feature engineering, anomaly detection, and model evaluation. - Strong written communication and a methodical approach to explaining and documenting conclusions. - A master’s or doctoral degree in data science, computer science, statistics, or a related discipline is preferred.

Nice to have - Peer-reviewed research, applied industry experience, cloud platform experience, or open-source contributions.

Benefits and work setup - Remote contract work, with an advertised rate of $6–$65 per hour; the final rate depends on experience, expertise, and location and may differ from the range. - You provide a secure computer and high-speed internet. Health insurance and paid time off are not included.