AI Content Reviewer & Prompt Annotator
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Data Annotator & Labelling Specialist (Scale AI / Remotasks). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Remotasks, and Other. Education includes Bachelor of Science, Open University (2022) and Secondary School Certificate, Federal Government College (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and RLHF.
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Reviewed, labeled, and ranked prompt-response pairs for LLM training datasets. Assessed outputs against rubrics for helpfulness, harmlessness, honesty, and overall quality using comparative annotation tasks. Wrote and labeled original prompts and provided detailed rationales to support model fine-tuning. • Prompt-response evaluation for LLM training datasets • Comparative response ranking with written decision rationales • Original prompt creation across varied subject domains • Continuous guideline adherence while adapting to changing requirements
Annotated large volumes of AI-generated text outputs to assess quality and safety characteristics. Applied complex, multi-page guidelines to maintain consistently high accuracy scores across varying project types. Flagged edge cases, ambiguous labels, and guideline gaps with detailed reports to improve annotation frameworks. • Text classification and sentiment analysis labeling • Instruction-response evaluation, content ranking, and named entity labeling • Quality assurance including fluency, tone, factual correctness, and safety checks • Independent queue management and deadline/volume target delivery in a remote setting
Secondary School Certificate, Secondary Education
Bachelor of Science, Computer Science
Customer Service Representative and Data Administrator