Olutunde F.

Key Skills

Software

Other

Scale AI

Top Subject Matter

Machine learning dataset annotation (multi-modal: images, text, audio, video)

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Video

Text

Document

Top Task Types

Classification

Freelancer Overview

In my position as a Data Annotator at Outlier.ai, I meticulously tag and categorize various types of datasets such as images, text, audio, and video to train machine learning models and develop artificial intelligence algorithms. The tasks include reviewing annotations to ensure consistency and correctness, guaranteeing adherence to all set guidelines, and detecting any potential issues related to the quality of data. I work closely with data scientists and engineers to improve the structure of annotation schemes and enhance the efficiency of the datasets used in the processes. My distinct advantage lies in combining my technical capabilities in annotation with the practical and client-oriented approach acquired through previous roles. Before joining this company, I worked for almost seven years in managing clients, budgeting, scheduling, and supervising teams exceeding twenty employees in production settings. It means that besides my expertise in annotation, analysis, precision, and quality control of data, I also have extensive knowledge of effective communication, problem solving, and workflow optimization techniques.

Labeling Experience

Data Annotator, Outlier.ai England, United Kingdom

OtherImageClassification

As a Data Annotator at Outlier.ai, you annotated and classified datasets to support machine learning and AI algorithm development. You scrutinized labels for consistency, accuracy, and compliance with the provided annotation guidelines. You escalated any data quality concerns and partnered with specialists to improve dataset usability for model performance. • Annotated images as part of a multi-modal dataset including images, text, audio, and video. • Verified annotation quality against defined standards. • Refined annotation schemas with data scientists and engineers. • Improved workflows, automation strategies, and best practices for scalable pipelines.

2025 - Present

Multimodal Data Annotator for AI Model Training

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In my present position as a Data Annotator at Outlier.ai, I accurately label and categorize datasets in various forms like pictures, texts, sound recordings, videos, etc., to help build models for machine learning and improve AI algorithms. My duties entail critically assessing and validating data labels and categories for consistency, precision, and adherence to set policies, while also reporting any data quality issues. I work closely with data scientists and engineers to enhance annotation structures and optimize datasets for better model efficiency. The uniqueness of my role lies in how I bring together seven years of previous expertise in customer relations, team management (leading 20+ employees), and project management. This helps me bring an analytical approach, meticulousness, and quality assurance perspective into my data labeling tasks.* I strive to provide high-quality annotated datasets that will positively impact model performance.

2015 - Present

Education

Work History