Project assessment types in AI training and data work

https://blast-wiki.win/index.php/Project_assessment_types_in_AI_training_and_data_work

Project assessment types in AI training and data work vary to match different goals. For supervised learning, evaluators check label accuracy and consistency across tasks. Unsupervised projects often rely on clustering metrics or human judgment of pattern relevance. Reinforcement learning assessments focus on reward signals and task completion rates. Each type helps teams gauge data quality, model readiness, and whether the project meets its intended purpose.