Data Science & Analysis - AI Training - San Jose, US

Role overview Use professional data science or analytics experience to contribute to AI training and evaluation through project based tasks. The work centers on assessing statistical reasoning, reviewing model generated data insights and checking code outputs. A short skills assessment is required before candidates become eligible for assignments, which vary in duration and can require an uninterrupted hour.

Responsibilities - Review AI produced data insights and statistical analyses for accuracy, clarity and completeness. - Check mathematical proofs, statistical formulas and data conclusions against reliable references. - Run data scripts in Python or R and confirm their results, including behavior on edge cases. - Record where models perform well or poorly on data problems and predictive modeling. - Verify that model responses meet task instructions and professional standards.

Requirements - Bachelor’s, master’s or doctoral qualification in data science, statistics, mathematics or a closely related quantitative discipline. - Real world experience in data analysis, predictive modeling or machine learning engineering. - Strong statistical problem solving skills and ability to interpret complex data visualizations independently. - High attention to detail and ability to identify subtle errors in statistical arguments or interpretations. - Extensive use of large language models in data workflows, with awareness of common failure modes. - Ability to explain technical concepts clearly; a PayPal account is required to receive payment.

Nice to have - Python skills with Pandas, NumPy or scikit-learn, or R; advanced SQL; visualization experience with Tableau, Power BI, Matplotlib or Seaborn; and knowledge of PyTorch, TensorFlow or statistical modeling.

Benefits and work setup Work is remote and flexible, with task availability depending on research demand. The source describes project rates of up to $80 per hour, though actual rates and task lengths vary.