Damilare Oluwatobiloba

I’m an AI Data Annotator and Response Evaluator who helps train models by labeling text, conversational, and image data with strict guideline compliance. I review AI-generated responses for factual accuracy, coherence, helpfulness, and safety edge cases that may need escalation.

My work includes prompt evaluation workflows—rating outputs against structured quality criteria like relevance, tone appropriateness, and policy compliance. I actively incorporate QA feedback from reviewers to improve annotation consistency across batches and reduce recurring errors over time.

Because I approach tasks with scientific rigor, my Anatomy and biomedical sciences background strengthens how I handle precision work, technical documentation, and complex instructions. I organize annotation notes and logs in Google Docs and Notion to maintain clear traceability and support reviewer audits.

I work reliably across remote, independent task queues, collaborating with project coordinators through tools like Slack and Discord. I’m looking to bring my remote-work discipline and quality-first mindset to a dedicated AI annotation or evaluation team.