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Omolara
AI Data Annotator and Labeller
Contacto
Competencias
Demonstrated experience with Structured Documentation & Analysis.
Demonstrated experience with Data Quality & Accuracy.
Demonstrated experience with Critical Evaluation & Judgment.
Demonstrated experience with Attention to Detail.
Demonstrated experience with Cross-Functional Communication.
Educación
Resumen
AI Data Annotator and Labeller open to new opportunities
Experiencia
AI Data Annotator and Labeller
Labelled and annotated thousands of data points across text, image, and audio datasets for machine learning model training. Evaluated AI-generated responses for accuracy, coherence, and instruction-following quality as part of RLHF workflow. Performed text classification, intent recognition, and named entity tagging with consistently high inter-rater agreement scores. Completed search relevance rating, content moderation, and data quality review tasks across multiple concurrent projects. Maintained quality accuracy above 95 percent, resulting in repeated task invitations and elevated contributor status on platforms. Adapted quickly to evolving annotation guidelines and project-specific rubrics across diverse domains including healthcare, e-commerce, and technology. Managed multiple asynchronous remote tasks independently while meeting all project deadlines
Healthcare Assistant — Mental Health Liaison Team
Screen and triage all A&E and inpatient referrals, applying structured assessment criteria to prioritize cases. Complete comprehensive data collection and documentation for the team, ensuring accuracy and completeness across electronic records. Produce written summaries and handover reports synthesizing patient presentations, risk factors, and recommended actions. Liaise with internal and external agencies, translating clinical information into clear, actionable communications. Support quality assurance by reviewing records for consistency and flagging discrepancies
Support Worker — Psychiatric Services
Maintained detailed service user files, recording observations and interventions in structured written formats. Applied care plan frameworks to daily practice, ensuring documentation aligned with treatment protocols. Collaborated with multidisciplinary teams to implement and evaluate care interventions. Identified and documented barriers to communication, contributing to improved patient outcomes
Support Worker — Inpatient Mental Health
Documented patient progress and behavioral observations according to standardized guidelines. Supported implementation of structured therapeutic interventions within care plans. Contributed to team reviews by providing accurate, written summaries of patient status
AI Data Annotator/Data Processor
Reviewed and evaluated documents, slides, spreadsheets, and similar materials for quality and correctness.. Checked task batches before submission, identifying errors, ambiguity and quality gaps for correction.. Led and contributed to RLHF tasks across prompt evaluation, response ranking, safety review, and preference modelling for large language models.. Reviewed AI-generated health-related text, identified unsafe or misleading guidance, and submitted structured feedback to flag high-risk content for removal or revision from training datasets.. Tracked quality signals such as agreement rates, error patterns, and task rework to continuously improve training outcomes and model alignment.
Support Worker
Maintained timely, complete and confidential records, supporting continuity of service and data integrity across electronic systems.. Applied structured assessment frameworks and identified discrepancies or changes that required escalation.. Prepared factual, structured case summaries while balancing competing priorities in a fast-paced service.