Cleveland-Marshall College of Law, Cleveland State University
Certificate, Health Law
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I am a licensed Ohio attorney with experience in healthcare compliance, regulatory review, and contract analysis, and I regularly work with AI tools in both professional and applied settings. My background includes reviewing and tightening legal language, identifying ambiguity and risk exposure, and evaluating complex fact patterns under statutes such as the Anti-Kickback Statute, False Claims Act, and FDA advertising regulations. This experience directly translates to AI training and evaluation work, where precision, structured reasoning, and the ability to detect subtle inaccuracies or hallucinations are critical. I have experience assessing AI-generated legal and compliance content for logical consistency, regulatory accuracy, and clarity of explanation. I am particularly skilled at identifying overgeneralizations, unsupported conclusions, and areas where model outputs could create compliance or liability risk. My legal training enables me to break down complex scenarios into structured components, label risk levels appropriately, and provide high-quality feedback that improves model reasoning rather than simply correcting surface errors. My expertise in healthcare compliance and contract review sets me apart from general annotators by bringing domain-specific judgment and real-world regulatory insight to AI training tasks.
Matthew S. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Certificate, Health Law
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