Francis Odoh

Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Data Collection

Diagnosis

Emotion Recognition

Evaluation Rating

Fine Tuning

Object Detection

Point Key Point

Question Answering

Relationship

Text Summarization

Freelancer Overview

I bring over 10 years of experience in business operations, project management, and data analysis, with a strong focus on data quality, accuracy, and process efficiency. My background includes hands-on work in data entry, data cleaning, and business and data analytics across sectors such as healthcare, hospitality, and technology. I am skilled in using tools like Microsoft Office 365, Power BI, Google Sheets, EMIS, SAP, and ERP systems, and have completed formal training in Data Analysis (Level 2) and the Google Data Analytics Professional Certificate. My experience managing confidential medical data, handling large volumes of information, and ensuring compliance with data security and governance protocols has given me a keen eye for detail and a commitment to high data standards. I am passionate about supporting AI and machine learning initiatives by delivering high-quality, accurately labeled datasets, and thrive in roles that require meticulous attention to detail, collaboration, and continuous process improvement.

Labeling Experience

Voice Actor

AppenAudioFine Tuning

Performed scripted and natural speech recordings with clear pronunciation, proper pacing, and consistent audio quality across multiple recording sessions. Ensured adherence to project requirements related to tone, accent variation, and speech clarity while maintaining accuracy and attention to detail. Reviewed recordings for quality assurance, minimizing background noise and pronunciation errors to meet platform standards

Performed scripted and natural speech recordings with clear pronunciation, proper pacing, and consistent audio quality across multiple recording sessions. Ensured adherence to project requirements related to tone, accent variation, and speech clarity while maintaining accuracy and attention to detail. Reviewed recordings for quality assurance, minimizing background noise and pronunciation errors to meet platform standards

2025 - 2025

Image Labeling and Data Annotation

AppenImageQuestion AnsweringObject Detection

Worked as an Image Labeling and Data Annotation Contributor on the Appen platform, supporting the development and improvement of artificial intelligence and machine learning models. Responsibilities included accurately reviewing, categorizing, and labeling images based on detailed project guidelines to train computer vision systems. Tasks involved identifying objects, tagging visual elements, classifying images, and ensuring high data quality through consistency and attention to detail. Maintained strict adherence to annotation standards, project instructions, and quality assurance requirements while meeting productivity and accuracy targets

Worked as an Image Labeling and Data Annotation Contributor on the Appen platform, supporting the development and improvement of artificial intelligence and machine learning models. Responsibilities included accurately reviewing, categorizing, and labeling images based on detailed project guidelines to train computer vision systems. Tasks involved identifying objects, tagging visual elements, classifying images, and ensuring high data quality through consistency and attention to detail. Maintained strict adherence to annotation standards, project instructions, and quality assurance requirements while meeting productivity and accuracy targets

2024 - 2025

program management

CrowdsourceDocumentData Collection

During the development of the iHumane training management system at Laukamz, I participated in data preparation and labeling activities to support system functionality and accuracy. This included organizing and categorizing training data, tagging employee and learning records, validating data quality, and ensuring consistency across datasets used for system testing and deployment. I worked closely with the development team to structure information correctly, review outputs, and improve data accuracy to support reporting, analytics, and user experience within the platform.

During the development of the iHumane training management system at Laukamz, I participated in data preparation and labeling activities to support system functionality and accuracy. This included organizing and categorizing training data, tagging employee and learning records, validating data quality, and ensuring consistency across datasets used for system testing and deployment. I worked closely with the development team to structure information correctly, review outputs, and improve data accuracy to support reporting, analytics, and user experience within the platform.

2021 - 2022

Text Summarization Evaluation & Rating

AppenDocumentText SummarizationEvaluation Rating

Performed detailed comparative analysis to determine whether summaries captured key ideas, maintained factual consistency, and adhered to project evaluation guidelines. Assigned quality ratings and provided structured feedback to improve model performance and linguistic reliability.

Performed detailed comparative analysis to determine whether summaries captured key ideas, maintained factual consistency, and adhered to project evaluation guidelines. Assigned quality ratings and provided structured feedback to improve model performance and linguistic reliability.

2020 - 2022

Education

Work History