AI Technical Contributor & Analyst | Remotasks / Appen (2016 – Present)
Curated and validated high-volume code-generation datasets for Large Language Models, focusing on the syntax, logic, and functional accuracy of Python and JavaScript outputs. Maintained a 98%+ quality assurance rating across projects to improve model performance for global AI clients. Identified and documented technical edge cases and produced structured feedback reports that reduced model error rates.• Performed dataset curation and validation for LLM code outputs in Python and JavaScript.• Conducted quality assurance and scoring/rating of generated code for correctness.• Authored structured edge-case documentation and feedback reports for model improvement.• Worked autonomously in a remote, fast-paced environment to meet tight deadlines without losing detail orientation.