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VideoI am an experienced data annotator and subject matter expert with a strong background in rubrics-based model training, multilingual data annotation, speech evaluation, audio auditing, and transcription. My work spans collaborations with platforms like TURING, RWS, Outlier, and SOUL AI, where I have contributed to high-quality AI training datasets for natural language processing and speech recognition projects. With over 18 years in academia and research, I excel at scientific content validation, dataset curation, and ensuring data quality through rigorous analysis and cross-functional teamwork. My expertise in both technical and academic domains allows me to bridge subject matter knowledge with practical data labeling tasks, driving impactful outcomes in AI model development and training.
It is an annonation work where I have to analyze model reponses based on rubrics and justify which is instruction following model and give valid justification for the preferred model answers
In the current project I have worked on the project where I have to provide genuine solution to the problems faced by an organic chemistry or researcher in the lab. The soultions should be highly feasible and after passing quality check it is authorized to the client.
In the current project I have designed Chemistry questions which are not detected or identified by the models. Again I have deisgn more than 45 questions while working on this project successfully.
Postdoctoral Research Associate, Synthesis, Biological activity evaluation, Modification
Doctor of Philosophy, Organic Chemistry
Professor
Assistant Professor
