Chinaemelum Obiomach Ndidi-chukwuka

Key Skills

Software

Clickworker

Remotasks

Other

Scale AI

Appen

Data Annotation Tech

Labelbox

Mindrift

Mercor

Toloka

Top Subject Matter

Speech Recognition/TTS

Computer Vision/Object Detection

Legal Services & Contract Review

Top Data Types

Audio

Text

Document

Video

Image

Top Task Types

Audio Recording

Prompt + Response Writing (SFT)

Transcription

Entity (NER) Classification

Segmentation

RLHF

Evaluation/Rating

Freelancer Overview

Data Annotator. Core strengths include Other. AI-training focus includes data types such as Audio and Video and labeling workflows including Transcription and Segmentation.

Labeling Experience

Data Annotator

TextEntity Ner Classification

In this project I review videos, posts, and other media from social media networks. I assess whether certain criteria are met. I also be assess model outputs across various categories and determining if the outputs meet the criteria specified.

In this project I review videos, posts, and other media from social media networks. I assess whether certain criteria are met. I also be assess model outputs across various categories and determining if the outputs meet the criteria specified.

2026 - Present

Data Annotator

OtherVideoEntity Ner ClassificationSegmentation

As a Data Annotator at Meridial Marketplace by Invisible, I performed sentiment analysis, named entity recognition, and intent annotation of social media posts. The work involved reading, evaluating, and labeling textual content for AI model improvement. I closely followed annotation guidelines to ensure accuracy and consistency across projects. • Labeled text data for sentiment (positive/negative/neutral) classification. • Applied NER techniques to identify and annotate entities within social media posts. • Annotated intent behind posts, supporting model comprehension of user objectives. • Ensured data quality through thorough double-checking of annotations.

As a Data Annotator at Meridial Marketplace by Invisible, I performed sentiment analysis, named entity recognition, and intent annotation of social media posts. The work involved reading, evaluating, and labeling textual content for AI model improvement. I closely followed annotation guidelines to ensure accuracy and consistency across projects. • Labeled text data for sentiment (positive/negative/neutral) classification. • Applied NER techniques to identify and annotate entities within social media posts. • Annotated intent behind posts, supporting model comprehension of user objectives. • Ensured data quality through thorough double-checking of annotations.

2025 - Present

Multimango

Scale AIAudioBounding BoxText Generation

As part of the Outlier Multimango audio recording project, I helped generate and validate audio data for training speech and language models. This included recording scripted and scenario-based audio samples clearly and accurately. I followed phonetic and pronunciation guidelines to ensure the recordings met the required technical quality. The project improved my understanding of how voice datasets are organized and used in AI systems, especially in boosting speech recognition and natural language processing performance.

As part of the Outlier Multimango audio recording project, I helped generate and validate audio data for training speech and language models. This included recording scripted and scenario-based audio samples clearly and accurately. I followed phonetic and pronunciation guidelines to ensure the recordings met the required technical quality. The project improved my understanding of how voice datasets are organized and used in AI systems, especially in boosting speech recognition and natural language processing performance.

2025 - Present

Education

Work History