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Ezekiel M. — Mid-Level AI Trainer from Nigeria

Ezekiel M.

Mid-Level AI Trainer

Nigeria 1-2 years
Open to offersNew to Platform
Languages
English
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About

Ezekiel M. from Nigeria is a dedicated AI Trainer and Web3 content researcher, well-versed in enhancing AI system performance and output quality. With a strong foundation in AI Response Evaluation, Prompt Engineering & Testing, Instruction Adherence Verification, and Bias & Safety Compliance Review, he has contributed to several AI development projects. During his tenure as an AI Data Reviewer, he has been responsible for annotating and reviewing datasets across various media types and ensuring instruction compliance in multimodal AI outputs. His expertise stems from working across platforms like Outlier, Luei AI, Atlas AI, and Uber Solutions, where he honed his skills in reviewing AI-generated content for accuracy and consistency. Ezekiel's academic background includes a BSc in Computer Science from Ajayi Crowther University, completed in 2023. His structured approach to enhancing AI systems prioritizes neutrality, factual accuracy, and logical reasoning, ultimately improving AI's understanding and response quality.

Experience

  • AI Data Reviewer & AI Trainer

    Outlier · 2026 — Present
    Annotated and reviewed AI training datasets for image, video, and audio comparison tasks. Compared AI-generated outputs to prompts for accuracy and context relevancy. Evaluated multimodal AI performance related to quality, consistency, and instruction adherence. Participated in visual content evaluation activities.
  • AI Data Reviewer & AI Trainer

    Luei AI · 2026 — Present
    Engaged in structured dialogue-based interactions for conversational AI evaluation tasks. Submitted responses simulating human-like conversation for review purposes, enhancing flow and contextual accuracy through constructive feedback.
  • AI Data Reviewer & AI Trainer

    Atlas AI · 2026 — Present
    Trained AI image recognition models by providing accurate descriptions and contextual annotations for images. Reviewed outputs to ensure precision and clarity, contributing to better AI understanding of scenes and objects.
  • AI Data Reviewer & AI Trainer

    Uber Solutions · 2026 — Present
    Supported projects that involved AI data review and annotation aimed at enhancing machine learning model outputs. Evaluated generated content for compliance with project requirements while assisting with structured data labeling and quality assurance.
  • Independent AI Trainer

    null · 2026 — Present
    Conducted structured evaluations and corrections across multiple AI systems, with an emphasis on factual accuracy and compliance with instructions.
  • AI Tool Tester – Action Model

    null
    Tested usability and clarity of AI-generated outputs, providing structured feedback for improvement and identifying inconsistencies.

Skills & Expertise

Education

  • BSc in Computer Science
    Ajayi Crowther University · 2020 — 2023

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