Emmanuel J.

Key Skills

Software

Other

Clickworker

OneForma

Top Subject Matter

NLP and Computer Vision dataset labeling (QA, adjudication, guidelines)

Dataset preparation and partial data labeling support for machine learning/internal audits

Top Data Types

Text

Image

Audio

Top Task Types

Entity (NER) Classification

Data Collection

Freelancer Overview

Ai judge and annotation expert (Freelance). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Higher National Diploma in Accounting, Federal Polytechnic Ilaro (2024) and National Diploma in Accounting, Federal Polytechnic Ilaro (2021). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification and Data Collection.

Labeling Experience

Ai judge and annotation expert (Freelance)

OtherTextEntity (NER) Classification

Lead annotation, adjudication, and quality assurance for labeled datasets used in NLP and CV projects. Develop and apply annotation guidelines to keep label consistency and reliability across annotators. Perform corrective annotation and analysis to improve dataset quality and usability for model training and evaluation. • Conduct inter-annotator agreement analysis and corrective passes • Refine label taxonomies with researchers and iterate on dataset requirements • Implement QA processes for label consistency and reliability • Use sampling and data checks to validate label quality.

2025 - Present

Data Entry (assisted with data labeling/annotation) at Olatilajd

OtherTextData Collection

Perform high-volume data entry and validation to ensure accuracy and consistency of datasets. Clean, standardize, and format datasets to prepare them for analysis and potential model training. Identify and resolve data discrepancies to improve data quality for downstream reporting and audits. • Assisted with data labeling and annotation tasks to support ML projects • Conducted data cleaning and standardization for model-ready datasets • Validated records for accuracy and consistency • Resolved discrepancies to reduce labeling errors

2022 - 2023

Education

Work History