Precious Adeyemo

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Video

Top Label Types

Question Answering

Emotion Recognition

Object Detection

Action Recognition

Tracking

Freelancer Overview

I have hands-on experience in data evaluation and quality review, particularly as an Evaluation Contributor on the Outlier (Aether Project), where I assessed outputs using detailed scoring rubrics and ensured strict adherence to guidelines. My strengths include interpreting complex instructions, providing precise written justifications for decisions, and maintaining consistency across large volumes of tasks. I am highly detail-oriented, skilled at identifying errors and ambiguities, and comfortable escalating edge cases when necessary. My background in research reporting and technical documentation has equipped me with strong analytical and communication skills, while my proficiency with tools like Google Docs, Sheets, Excel, and Notion supports my ability to deliver accurate, well-documented results in data annotation and AI training data environments.

Labeling Experience

AI Annotator

Scale AIVideoQuestion AnsweringEmotion Recognition

The aim of the project was to train AI to see motion as story unfolding not as blur of pixels, The video annotated often involved; Real world environments, Human movements and gestures, and complex multi object interaction. I was tasked with; drawing bounding boxes around objects, Labeling object class, defining event duration, maintaing chronological intergrity. Large scale data set were provided from all over social media to millions of annotators, reviewers and QA specialists. The following are some of the quality guidelines we adhered to; Following detailed annotation class taxonomies, Identifying variance trends, accuracy scoring systems.

The aim of the project was to train AI to see motion as story unfolding not as blur of pixels, The video annotated often involved; Real world environments, Human movements and gestures, and complex multi object interaction. I was tasked with; drawing bounding boxes around objects, Labeling object class, defining event duration, maintaing chronological intergrity. Large scale data set were provided from all over social media to millions of annotators, reviewers and QA specialists. The following are some of the quality guidelines we adhered to; Following detailed annotation class taxonomies, Identifying variance trends, accuracy scoring systems.

2025

Education

Work History