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Essy I.

Essy I.

AI Training Specialist

Nigeria flagUyo, Nigeria

Key Skills

Software

No software listed

Top Subject Matter

Natural Language Processing / Conversational AI
Finance
E-commerce

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Text GenerationText Generation
RelationshipRelationship
Bounding BoxBounding Box
ClassificationClassification
Translation/LocalizationTranslation/Localization
Text SummarizationText Summarization

Freelancer Overview

I’ve spent the last few years working on AI training and data labeling projects, mostly focused on making models better at understanding real-world language and context. My role involved reviewing large sets of text, image, and audio data, then labeling it for things like intent, sentiment, safety categories, and factual accuracy. The goal was always to catch the edge cases that automated systems miss ; things like sarcasm, cultural nuance, or ambiguous instructions. What I found most valuable was the feedback loop part. After labeling, I’d analyze where the model was consistently failing and work with engineers to adjust the guidelines and examples. That meant writing clear instructions for other labelers, running quality checks, and sometimes doing adversarial testing to push the model to break. It’s detailed work, but it’s what turns a generic model into something that actually feels useful and reliable in conversation.

Labeling Experience

I’ve worked on labeling datasets for chat models mostly tagging conversations for intent, tone, and safety issues, plus

I’ve worked on labeling datasets for chat models mostly tagging conversations for intent, tone, and safety issues, plus rating model responses for accuracy and helpfulness. I’m comfortable following annotation guidelines, spotting inconsistencies, and doing quality checks on my own work and other labelers’ work. I’ve also given feedback on where the model was failing so the team could adjust the prompts and guidelines. It’s not expert-level, but I can handle most standard labeling tasks and understand how the labeled data feeds back into improving the model.

Not specified

Education

*

*B.Sc

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

*AI Data Annotator | Scale AI / Appen Contractor, 2023–2025* - Labeled and evaluated 2,000+ conversation and text samp

Location not specified
2023 - 2025