Data Science & Analysis - AI Training - Fort Worth, US

Role overview Apply hands-on expertise in data science or analytics to evaluate and improve AI systems through paid, independent assignments. Contributors examine model answers, validate data workflows, and judge the quality of statistical reasoning. Entry involves a short assessment, followed by a possible invitation to take on tasks. The opportunity is listed for Fort Worth, US.

Responsibilities - Evaluate model-generated analysis for sound methods, accurate findings, and understandable explanations. - Consult authoritative sources to check statistical formulas, proofs, and data-driven statements. - Run scripts used for data tasks and verify their results, including behaviour on edge cases. - Annotate how well models solve data problems or develop predictive approaches. - Ensure responses adhere to the specific instructions and professional standards for each task.

Requirements - University-level qualification at bachelor’s level or above in data science, statistics, mathematics, or a closely related quantitative subject. - Applied experience in analysis, predictive modelling, or machine learning engineering. - Strong independent statistical reasoning and confidence interpreting complex charts and visualisations. - Meticulous review skills, including spotting subtle logical errors in quantitative claims. - Extensive experience using large language models in data workflows and understanding where their output can be unreliable. - Concise communication of technical concepts and a PayPal account for receiving payment.

Nice to have - Proficiency in Python (including Pandas, NumPy, or scikit-learn) or R, advanced SQL, and data visualisation with tools such as Tableau, Power BI, Matplotlib, or Seaborn. - Understanding of statistical modelling and frameworks such as PyTorch or TensorFlow.

Benefits and work setup - The source describes flexible, work-from-home participation and task-based pay, with rates that may reach $80 per hour. Some assignments require one hour of uninterrupted work; others may be shorter. Candidates first complete a brief 10–15-minute assessment.