Olusegun Adesina Akinyemi

Passed platform onboarding and progressed to live production annotation tasks. Annotated video data by identifying and labeling fine-grained hand actions according to detailed project guidelines. Applied consistent labels across visual sequences while maintaining precision and attention to detail and meeting annotation standards. Reviewed completed annotations for consistency and quality to satisfy project accuracy and completion requirements throughout the engagement.

Completed AI training and evaluation work involving multimodal content, including comparison and assessment of video-based outputs. Reviewed and compared candidate outputs against task-specific criteria, identifying differences in accuracy, relevance, completeness, and adherence to instructions. Contributed to structured data preparation and pre-labelling workflows, including receipt-related visual data, applying project guidelines to improve dataset usefulness and consistency. Evaluated AI-generated responses for quality, factual consistency, reasoning, and task compliance, providing structured human feedback. Applied multi-stage guidelines consistently and reviewed submissions for accuracy before completion.

Onboarded as a specialist AI evaluator contributing structured human feedback to AI development workflows. Assessed AI-generated outputs across technical and STEM domains for factual correctness, reasoning clarity, response quality, and alignment with task intent. Applied STEM and renewable-energy expertise to identify technical inaccuracies, logical errors, and weaknesses in model outputs. Compared candidate responses and produced preference rankings supported by clear, evidence-based reasoning while working within structured rubrics across remote asynchronous tasks.