Ikechukwu Ezenwa

Key Skills

Software

Toloka

Label Studio

Scale AI

Appen

Top Subject Matter

Natural Language Processing

Llms Domain Expertise

Rlhf Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Classification

Freelancer Overview

Senior AI Training & Data Annotation Specialist. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Toloka, Label Studio, and Scale AI. Education includes Bachelor of Science, University of Nigeria, Nsukka (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Senior AI Training & Data Annotation Specialist

TolokaText

Led multilingual annotation and QA workflows for NLP and LLM data labeling across five languages. Designed and maintained grading rubrics for LLM response evaluation and contributed to RLHF model alignment. Automated validation to boost annotation throughput and guideline compliance rates. • Supported bias detection and multilingual quality assurance. • Mentored junior annotators on best labeling practices. • Implemented structured quality audits per evaluation cycle. • Enhanced compliance to annotation guidelines by automating workflows.

Led multilingual annotation and QA workflows for NLP and LLM data labeling across five languages. Designed and maintained grading rubrics for LLM response evaluation and contributed to RLHF model alignment. Automated validation to boost annotation throughput and guideline compliance rates. • Supported bias detection and multilingual quality assurance. • Mentored junior annotators on best labeling practices. • Implemented structured quality audits per evaluation cycle. • Enhanced compliance to annotation guidelines by automating workflows.

2022 - Present

Freelance Multilingual AI & Data Annotation Lead

Label StudioTextData Collection

Provided dataset creation, annotation, and QA for low-resource African languages in diverse AI and NLP projects. Managed data gathering, cleaning, and structuring into machine-readable formats for model training. Executed translation validation and localization review for AI systems serving African markets. • Built and annotated large-scale datasets with focus on low-resource languages. • Integrated labeled data with cloud databases and API pipelines. • Automated data pre-processing and cleaning scripts. • Delivered consulting and leadership for multiple research clients.

Provided dataset creation, annotation, and QA for low-resource African languages in diverse AI and NLP projects. Managed data gathering, cleaning, and structuring into machine-readable formats for model training. Executed translation validation and localization review for AI systems serving African markets. • Built and annotated large-scale datasets with focus on low-resource languages. • Integrated labeled data with cloud databases and API pipelines. • Automated data pre-processing and cleaning scripts. • Delivered consulting and leadership for multiple research clients.

2018 - Present

AI Model Evaluation & Data Rater

Scale AIText

Rated, annotated, and evaluated AI-generated responses for large-scale NLP and computer vision projects. Implemented labeling frameworks to optimize model training and performance in multiple languages. Contributed feedback for bias, linguistic quality, and data selection protocols. • Annotated both text and image datasets for supervised learning. • Conducted detailed QA and linguistic reviews. • Recommended dataset improvements and bias corrections. • Ensured culturally aligned model outputs.

Rated, annotated, and evaluated AI-generated responses for large-scale NLP and computer vision projects. Implemented labeling frameworks to optimize model training and performance in multiple languages. Contributed feedback for bias, linguistic quality, and data selection protocols. • Annotated both text and image datasets for supervised learning. • Conducted detailed QA and linguistic reviews. • Recommended dataset improvements and bias corrections. • Ensured culturally aligned model outputs.

2017 - 2020

Multilingual Language Translator & Dataset Specialist

Text

Validated and prepared multilingual NLP training datasets for linguistic consistency and contextual accuracy. Delivered professional translation and QA for annotated corpora in multiple languages. Supported data annotation for cross-border language model deployment. • Checked translation accuracy and quality in annotated datasets. • Assisted in developing resources for AI language models. • Maintained data standards for multilingual NLP corpora. • Coordinated with technical teams for model integration.

Validated and prepared multilingual NLP training datasets for linguistic consistency and contextual accuracy. Delivered professional translation and QA for annotated corpora in multiple languages. Supported data annotation for cross-border language model deployment. • Checked translation accuracy and quality in annotated datasets. • Assisted in developing resources for AI language models. • Maintained data standards for multilingual NLP corpora. • Coordinated with technical teams for model integration.

2013 - 2015

Junior Data Annotation Specialist

AppenTextClassification

Performed structured annotation and classification on search engine and speech recognition datasets. Ensured task accuracy benchmarks while achieving short-term productivity targets. Supported initial dataset development for machine learning systems. • Labeled audio and text data for supervised ML applications. • Adhered to detailed annotation protocols. • Reviewed outputs for accuracy and completeness. • Worked within remote, distributed annotation teams.

Performed structured annotation and classification on search engine and speech recognition datasets. Ensured task accuracy benchmarks while achieving short-term productivity targets. Supported initial dataset development for machine learning systems. • Labeled audio and text data for supervised ML applications. • Adhered to detailed annotation protocols. • Reviewed outputs for accuracy and completeness. • Worked within remote, distributed annotation teams.

2012 - 2013

Education

Work History