Emmanuel Mbotor

I am a Computer Engineering graduate with hands-on experience in AI training support, content evaluation, and blockchain community moderation. I combine technical understanding from my degree with practical remote-work experience to improve AI systems and digital platforms.

As a Content Evaluator at Appen, I reviewed digital content for quality and cultural accuracy, provided feedback to refine AI models, and helped ensure platforms delivered relevant results. Previously, I moderated a major blockchain community where I oversaw activity, managed disputes, and flagged technical issues to protect platform integrity.

My strengths include data annotation, quality assurance, and effective remote collaboration; I apply attention to detail and strong communication skills to complex, distributed workflows. I am comfortable working independently or as part of a team to deliver consistent, accurate outcomes that support product improvement.

I am eager to join a company where I can apply my machine learning and data analysis foundation to meaningful AI projects, grow my technical expertise, and contribute to building reliable, user-centered systems.