Chisom J.

Key Skills

Software

Remotasks

Appen

Top Subject Matter

Computer Vision

Nlp Domain Expertise

Conversational AI

Top Data Types

Image

Text

Top Task Types

Bounding Box

Classification

Freelancer Overview

Data Labeling & Annotation Specialist. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Appen, and Amazon MTurk. Education includes Bachelor of Science, University (2023) and Certificate, Amazon Web Services (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

Data Labeling & Annotation Specialist

RemotasksImageBounding Box

As a Data Labeling & Annotation Specialist at Remotasks (Scale AI), I performed over 120,000 labeling tasks for computer vision and NLP projects. My responsibilities included annotating images with bounding boxes, polygons, and segmentations, as well as ranking AI-generated text outputs for reinforcement learning. I maintained a consistent accuracy rate above 98.5% and was awarded Gold status for quality. • Completed extensive bounding box, segmentation, and polygon annotation for diverse computer vision datasets • Engaged in RLHF tasks for large language model training and evaluation • Labeled NLP datasets for sentiment, intent, and named entities recognition • Participated in quality assurance and guideline clarification for annotation tasks

2023 - Present

AI Training Data Contributor

AppenTextClassification

As an AI Training Data Contributor at Appen, I participated in various AI training projects focused on text, image, and search relevance evaluation. My duties included classifying text, rating search engine results, and performing sentiment analysis on social media content. I consistently exceeded project benchmarks and assisted in improving annotation guidelines. • Executed search relevance rating and query-result evaluation • Conducted sentiment analysis and content classification for brand monitoring • Contributed to team accuracy through effective communication about edge-case guidelines • Received commendations for high quality and consistency in annotation

2021 - 2022

Freelance Data Annotator

ImageClassification

As a Freelance Data Annotator with Amazon Mechanical Turk and Clickworker, I completed over 40,000 microtasks involving image tagging, content moderation, and audio transcription. I maintained a HIT approval rate of 99.6% while qualifying as a Master Worker. My role also included reviewing content for safety and transcribing audio for speech-to-text datasets. • Conducted image tagging and categorization tasks extensively • Performed transcription and accuracy checks for speech data • Reviewed and flagged policy-violating content as part of trust and safety efforts • Maintained highest approval ratings and met qualification thresholds for advanced work

2020 - 2021

Education

Work History