Nwachukwu Promise

Key Skills

Software

Labelbox

Top Subject Matter

Natural Language Processing

Conversational AI

Sentiment Analysis

Top Data Types

Text

Image

Document

Top Task Types

Entity Ner Classification

Bounding Box

Classification

Prompt Response Writing SFT

Freelancer Overview

Data Labeling Specialist & AI Trainer. Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Cogito, Labelbox, and OpenAI API. Education includes Bachelor of Science, Michael Okpara University of Agriculture (2021). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Bounding Box, and Classification.

Labeling Experience

Data Labeling Specialist & AI Trainer

ImageBounding Box

I performed image annotation and quality assurance at Cogito Tech LLC to support training computer vision models. Tasks included bounding box annotation, polygon segmentation, and key-point labeling on diverse visual datasets. The process involved both manual annotation and peer review steps for dataset integrity. • Used annotation platforms for object detection and segmentation. • Maintained labeling accuracy and met productivity targets in remote, asynchronous teams. • Collaborated on QA processes to ensure labeling consistency. • Contributed to reducing model bias through rigorous visual dataset auditing.

I performed image annotation and quality assurance at Cogito Tech LLC to support training computer vision models. Tasks included bounding box annotation, polygon segmentation, and key-point labeling on diverse visual datasets. The process involved both manual annotation and peer review steps for dataset integrity. • Used annotation platforms for object detection and segmentation. • Maintained labeling accuracy and met productivity targets in remote, asynchronous teams. • Collaborated on QA processes to ensure labeling consistency. • Contributed to reducing model bias through rigorous visual dataset auditing.

2024 - Present

Data Labeling Specialist & AI Trainer

TextEntity Ner Classification

As a Data Labeling Specialist & AI Trainer at Cogito Tech LLC, I performed text annotation and entity classification across diverse projects in NLP and conversational AI. My core responsibilities included Named Entity Recognition (NER), sentiment labeling, intent classification, and RLHF evaluation. I consistently ensured high QA standards through peer review and collaborative workflows. • Annotated entities including persons, organizations, dates, and custom taxonomies for NER tasks. • Performed sentiment and intent labeling on user reviews, social content, and chatbot dialogues. • Executed RLHF tasks comparing and ranking LLM outputs for alignment and safety. • Reviewed peer work for inter-annotator agreement and dataset consistency.

As a Data Labeling Specialist & AI Trainer at Cogito Tech LLC, I performed text annotation and entity classification across diverse projects in NLP and conversational AI. My core responsibilities included Named Entity Recognition (NER), sentiment labeling, intent classification, and RLHF evaluation. I consistently ensured high QA standards through peer review and collaborative workflows. • Annotated entities including persons, organizations, dates, and custom taxonomies for NER tasks. • Performed sentiment and intent labeling on user reviews, social content, and chatbot dialogues. • Executed RLHF tasks comparing and ranking LLM outputs for alignment and safety. • Reviewed peer work for inter-annotator agreement and dataset consistency.

2024 - Present

Independent AI Data Contributor & Prompt Engineer

TextPrompt Response Writing SFT

As an Independent AI Data Contributor & Prompt Engineer, I constructed prompt libraries and curated instruction datasets for generative AI evaluation. Projects involved prompt engineering for LLMs and compiling web-sourced structured datasets for classification and predictive modeling. I evaluated LLM responses in domains such as e-commerce, logistics, and real estate for quality output testing. • Designed and tested system/user prompts for 3D fashion and commerce platforms. • Compiled, cleaned, and structured web data for ML input. • Developed frameworks for systematic LLM output evaluation. • Applied classification and response accuracy criteria to prompt-engineered datasets.

As an Independent AI Data Contributor & Prompt Engineer, I constructed prompt libraries and curated instruction datasets for generative AI evaluation. Projects involved prompt engineering for LLMs and compiling web-sourced structured datasets for classification and predictive modeling. I evaluated LLM responses in domains such as e-commerce, logistics, and real estate for quality output testing. • Designed and tested system/user prompts for 3D fashion and commerce platforms. • Compiled, cleaned, and structured web data for ML input. • Developed frameworks for systematic LLM output evaluation. • Applied classification and response accuracy criteria to prompt-engineered datasets.

2024 - 2024

AI Data Engineer & ML Model Trainer

LabelboxTextClassification

As an AI Data Engineer & ML Model Trainer at Droomwork, I designed and labeled training datasets for machine learning model development. My duties included curating candidate profiles, annotating job descriptions, and preparing large-scale structured databases for model input. I also led ontology design and label taxonomy initiatives to standardize labeling output. • Labeled structured data attributes for talent-matching and job ranking models. • Developed and annotated dialogue data for a first-aid chatbot. • Cleaned, normalized, and labeled property data for a real estate AI engine. • Defined project-wide ontology and taxonomy guidelines for consistent dataset annotation.

As an AI Data Engineer & ML Model Trainer at Droomwork, I designed and labeled training datasets for machine learning model development. My duties included curating candidate profiles, annotating job descriptions, and preparing large-scale structured databases for model input. I also led ontology design and label taxonomy initiatives to standardize labeling output. • Labeled structured data attributes for talent-matching and job ranking models. • Developed and annotated dialogue data for a first-aid chatbot. • Cleaned, normalized, and labeled property data for a real estate AI engine. • Defined project-wide ontology and taxonomy guidelines for consistent dataset annotation.

2020 - 2024

Education

Work History