For the past three years, I've worked professionally as a Data Annotator, a role I see as being a cornerstone for building effective AI. My primary focus has been on creating high-quality, accurately labeled datasets that serve as the foundational training material for machine learning models. In my work, I've handled diverse data types, primarily in image,video annotation, CVAT,text classification for search relevance and image bounding boxes, product search relevance, audio transcribing. A key part of my success has been my meticulous attention to detail and my ability to consistently apply complex, and sometimes nuanced, project guidelines. This isn't just about following instructions, but about using critical thinking to make judgment calls on edge cases to ensure the highest possible data integrity. I'm proficient with several annotation platforms and have a proven track record of maintaining both high-volume output and exceptional accuracy, often exceeding 98% in quality audits. I understand that the precision of my work directly impacts model performance, and I take that responsibility seriously. I'm not just looking for another task; I'm looking to contribute my skills to a project where quality data makes a real difference, which is why I was so drawn to this opportunity."…

oluwatosin sulaimon

For the past three years, I've worked professionally as a Data Annotator, a role I see as being a cornerstone for building effective AI. My primary focus has been on creating high-quality, accurately labeled datasets that serve as the foundational training material for machine learning models. In my work, I've handled diverse data types, primarily in image,video annotation, CVAT,text classification for search relevance and image bounding boxes, product search relevance, audio transcribing. A key part of my success has been my meticulous attention to detail and my ability to consistently apply complex, and sometimes nuanced, project guidelines. This isn't just about following instructions, but about using critical thinking to make judgment calls on edge cases to ensure the highest possible data integrity. I'm proficient with several annotation platforms and have a proven track record of maintaining both high-volume output and exceptional accuracy, often exceeding 98% in quality audits. I understand that the precision of my work directly impacts model performance, and I take that responsibility seriously. I'm not just looking for another task; I'm looking to contribute my skills to a project where quality data makes a real difference, which is why I was so drawn to this opportunity."…

Available to hire

For the past three years, I’ve worked professionally as a Data Annotator, a role I see as being a cornerstone for building effective AI. My primary focus has been on creating high-quality, accurately labeled datasets that serve as the foundational training material for machine learning models.

In my work, I’ve handled diverse data types, primarily in image,video annotation, CVAT,text classification for search relevance and image bounding boxes, product search relevance, audio transcribing. A key part of my success has been my meticulous attention to detail and my ability to consistently apply complex, and sometimes nuanced, project guidelines. This isn’t just about following instructions, but about using critical thinking to make judgment calls on edge cases to ensure the highest possible data integrity.

I’m proficient with several annotation platforms and have a proven track record of maintaining both high-volume output and exceptional accuracy, often exceeding 98% in quality audits. I understand that the precision of my work directly impacts model performance, and I take that responsibility seriously.
I’m not just looking for another task; I’m looking to contribute my skills to a project where quality data makes a real difference, which is why I was so drawn to this opportunity."

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Language

English
Fluent

Work Experience

Data Annotator at Mindrift(Toloka)
March 15, 2023 - Present
Responsible for labeling, categorizing, and validating data to support AI model training and evaluation across natural language processing (NLP), computer vision, and generative AI tasks. Ensures annotation accuracy, consistency, and adherence to project guidelines to improve AI system performance.
Quality Auditor at Hugo.Inc
June 12, 2023 - Present
Contributed to multilingual labeling projects (English-based and cross-cultural data). Supported AI model fine-tuning for large language models (LLMs) through prompt annotation or response evaluation. Achieved performance recognition for consistent top-quality ratings in Hugo project

Education

Bachelor of Science at Lagos State University
September 15, 2014 - February 17, 2020

Qualifications

Data Annotator
June 12, 2023 - November 7, 2025
Responsible for labeling, categorizing, and validating data to support AI model training and evaluation across natural language processing (NLP), computer vision, and generative AI tasks. Ensures annotation accuracy, consistency, and adherence to project guidelines to improve AI system performance.
Data Visualizer
March 5, 2024 - November 7, 2025
A Data Visualizer transforms complex datasets into clear, engaging, and insightful visual formats that help stakeholders understand trends, patterns, and key insights. They combine analytical thinking with design principles to communicate data effectively for decision-making, research, and AI model evaluation.

Industry Experience

Other
    paper Search Engine Results Page & Search Engine

    Data Annotator – SERP & Search Relevance Project (Mindrift Toloka)

    Duration: SERP (September 2025), Search Relevance (May - June 2024)
    Platform: Toloka (Mindrift AI Data Program)

    Project Overview:
    Contributed to the Search Engine Results Page (SERP) Relevance Project aimed at improving AI-driven search ranking algorithms. The project involved evaluating and annotating web content, user queries, and result relevance to enhance the performance and accuracy of generative AI and search recommendation systems.

    Key Responsibilities:

    • Assessed the relevance, accuracy, and intent alignment of search engine results based on user queries.
    • Applied SERP quality rating guidelines to classify web pages and rank their usefulness to users.
    • Annotated large datasets across various domains, including informational, transactional, and navigational queries.
    • Conducted comparative relevance judgments between multiple AI-generated responses or search results.
    • Identified spam, low-quality, and misleading content, ensuring only high-value data contributed to AI model training.
    • Collaborated within Mindrift’s data annotation ecosystem to maintain consistency, precision, and contextual understanding in labeling.
    • Provided feedback on ambiguous cases to improve guideline clarity and model evaluation criteria.
    • Maintained strict data confidentiality and followed ethical data-handling protocols.

    Tools & Skills Used:

    • Toloka annotation platform
    • Search quality evaluation frameworks (E-E-A-T principles: Experience, Expertise, Authoritativeness, Trustworthiness)
    • Relevance rating metrics and data validation methods
    • Web content analysis, critical reasoning, and linguistic accuracy

    Impact:
    Enhanced AI model understanding of query intent and search result relevance, contributing to more context-aware and user-centered search performance.