Chiagozie Emelife

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Clickworker

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Google Cloud Vertex AI

HiveMind

Labelbox

Label Studio

OpenCV AI Kit (OAK)

Playment

Remotasks

Scale AI

SuperAnnotate

Surge AI

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Action Recognition

Classification

Computer Programming Coding

Prompt Response Writing SFT

Question Answering

Freelancer Overview

I am a detail-oriented and tech-savvy individual with a strong foundation in computer science, specializing in areas such as programming, data analysis, and prompt engineering. With intermediate experience in AI data labeling, I have worked on tasks involving classification, prompt and response writing (SFT), data collection, and coding—skills that align closely with the core responsibilities of training AI systems. I’ve also contributed to projects involving software development and natural language processing, equipping me with a sharp eye for logic, structure, and language patterns. My strengths lie in my ability to learn quickly, follow detailed instructions, and adapt to new tools and workflows efficiently. I have experience working with structured data and written content, making me well-suited for labeling tasks involving text, images, and audio. I am confident in my ability to contribute high-quality, consistent annotations and continuously improve based on feedback—making me a valuable asset to any AI training pipeline.

Labeling Experience

Text Classification and Prompt Engineering for AI Training

Label StudioTextClassificationTranslation Localization

Worked on a text-based AI training project involving the annotation of large volumes of written data. Tasks included classifying sentences and paragraphs by topic or sentiment, writing realistic prompt-response pairs for LLM fine-tuning, and transcribing short-form audio into structured text. Using tools like Label Studio and Remotasks, I ensured consistency, followed detailed labeling guidelines, and maintained high-quality ratings. This project directly contributed to the improvement of natural language understanding, content moderation, and response generation for AI systems.

Worked on a text-based AI training project involving the annotation of large volumes of written data. Tasks included classifying sentences and paragraphs by topic or sentiment, writing realistic prompt-response pairs for LLM fine-tuning, and transcribing short-form audio into structured text. Using tools like Label Studio and Remotasks, I ensured consistency, followed detailed labeling guidelines, and maintained high-quality ratings. This project directly contributed to the improvement of natural language understanding, content moderation, and response generation for AI systems.

2024 - 2024

Education

Work History