General Data Annotation - DataAnnotation
Response ranking and rating in several domains such as instruction following, truthfulness and helpfulness.
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Freelance General Data Annotator at Telus Digital. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes a First Class Integrated Master’s in Biochemistry, University of York (2018). AI-training includes data types such as Text and labelling workflows including prompt + response Writing (SFT), evaluation, response rating, rubrics and failure testing.
Response ranking and rating in several domains such as instruction following, truthfulness and helpfulness.
Contributed to AI/LLM training via freelance biology-focused annotation and assessment. Produced domain-informed outputs and supported response quality based on provided task criteria. Ensured work aligned with instruction sets to enable reliable training data for downstream use. • Applied biology subject-matter knowledge to annotation tasks • Followed provided rubrics and task instructions • Assisted with generating high-quality annotated content • Supported dataset quality through review-oriented thinking
Performed freelance AI data annotation and related quality work for machine learning tasks, including general data annotation activities. Delivered annotated outputs using provided guidelines and worked through rubrics to support downstream model improvement. Helped ensure responses met comprehension and editing requirements for high-quality dataset contributions. • Used prompt/response workflows aligned to instructions • Applied rubrics, ranking/preferences, and comprehension checks • Performed editing and quality assurance on annotated responses • Supported RLHF-related workflows at different levels as needed
First-Class Honours Degree (MBiochem), Biochemistry
A-Levels, Chemistry, Mathematics, Statistics, and Biology
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