Chinecherem N.

Key Skills

Software

CVAT

Roboflow

Label Studio

Top Subject Matter

Artificial Intelligence/Machine Learning

Nature Language Processing (NLP)

Computer Vision

Top Data Types

Text

Image

Audio

Top Task Types

Evaluation/Rating

Prompt + Response Writing (SFT)

Entity (NER) Classification

Question Answering

Red Teaming

Data Collection

Function Calling

Polyline

Fine-tuning

Polygon

Segmentation

Classification

Point/Key Point

Bounding Box

Cuboid

Object Detection

Text Generation

Text Summarization

RLHF

Transcription

Computer Programming/Coding

Freelancer Overview

While am not yet formally employed as a dedicated data annotator, I bring strong transferable experience from UI/UX design and product research that aligns closely with AI training data workflows. I have worked extensively with structuring and analyzing qualitative and quantitative data through user research, surveys, persona development, empathy mapping, and competitive analysis. These activities required careful interpretation of information, categorization of user inputs, and conversion of raw data into structured, usable insights core skills needed for accurate data labeling and dataset preparation. Across multiple digital product projects, I consistently applied high attention to detail, consistency in classification, and systematic thinking when evaluating user behavior and design feedback. My experience with usability testing and iterative design also strengthened my ability to follow strict guidelines, identify patterns, and maintain quality control across repeated tasks. This foundation positions me well for AI training data roles such as data labeling, annotation quality review, and dataset organization.

Education

Work History