Olabisi Onabanjo University
BSc, Economics
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I don't have a background in data labeling specifically, but I do have relevant experience evaluating and refining AI-generated output in a frontend context. In my current role and across several projects, I regularly work with AI-assisted code and UI generation, assessing what's structurally sound versus what needs correction, and bringing it up to production quality. That process critical review, quality control, and iterative refinement of generated output is closely aligned with what AI training and evaluation work requires. What I think sets me apart is the combination of strong technical judgment and a good visual eye. I can assess frontend output not just for correctness but for quality: whether the layout is intentional, whether the component structure makes sense, whether the code is clean and maintainable. I've built across fintech, real estate, e-commerce, and food delivery, which means I've developed a broad sense of what good web output looks like across different contexts. That range of reference, combined with my ability to work independently and deliver to a high standard, is what I'd bring to AI training and evaluation work.
BSc, Economics
Lead Frontend Engineer
Mobile App Developer