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Chukwuedo Salome

Chukwuedo Salome

AI Data Annotator & AI Trainer (Independent Practice)

NIGERIA flag
Benin, Nigeria
$20.00/hrEntry LevelAppenRemotasksOneforma

Key Skills

Software

AppenAppen
RemotasksRemotasks
OneFormaOneForma
CVATCVAT
LabelboxLabelbox

Top Subject Matter

Natural Language Processing
Large Language Models
AI Evaluation

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Classification
Bounding Box
Segmentation
Point Key Point
Object Detection
Question Answering
Text Summarization
Transcription
Evaluation Rating
Data Collection
Prompt Response Writing SFT

Freelancer Overview

AI Data Annotator & AI Trainer (Independent Practice). Core strengths include Appen, TELUS AI, and Remotasks. Education includes Bachelor of Education, University of Benin (2025). AI-training focus includes data types such as Text and labeling workflows including Classification.

Entry LevelEnglish

Labeling Experience

Appen

AI Data Annotator & AI Trainer (Independent Practice)

AppenTextClassification
As an independent AI Data Annotator and AI Trainer, I annotated diverse text datasets for NLP training. My work included sentiment classification, intent detection, and named entity recognition, as well as evaluating AI-generated language model outputs. I ensured high annotation quality and consistency by strictly following project guidelines and identifying nuanced edge cases. • Labeled data for sentiment analysis, intent detection, and named entity recognition. • Evaluated AI responses for safety, tone, and helpfulness. • Applied annotation guidelines with attention to details like sarcasm and ambiguous intent. • Used leading platforms like Appen, TELUS AI, Remotasks, OneForma, CVAT, and Labelbox.

As an independent AI Data Annotator and AI Trainer, I annotated diverse text datasets for NLP training. My work included sentiment classification, intent detection, and named entity recognition, as well as evaluating AI-generated language model outputs. I ensured high annotation quality and consistency by strictly following project guidelines and identifying nuanced edge cases. • Labeled data for sentiment analysis, intent detection, and named entity recognition. • Evaluated AI responses for safety, tone, and helpfulness. • Applied annotation guidelines with attention to details like sarcasm and ambiguous intent. • Used leading platforms like Appen, TELUS AI, Remotasks, OneForma, CVAT, and Labelbox.

2026 - Present

Education

U

University of Benin

Bachelor of Education, Guidance and counselling

Bachelor of Education
2021 - 2025

Work History

P

practical experience (self taught)

image labelling and data annotation

Benin city
2025 - 2026