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Okechukwu  MosesOM
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Okechukwu Moses

@okechukwumoses

AI Data Annotator skilled in labeling text, images, audio, and video with strong attention to detail to improve machine learning models.

Nigeria
Message

What I'm looking for

I’m looking to continue supporting AI training with meticulous, guideline-driven annotation and evaluation—especially for multilingual, low-resource language datasets—while collaborating remotely with teams that value data ethics and measurable quality.

I’m an AI Data Specialist focused on supporting the development and evaluation of AI-generated content through structured data collection, annotation, and quality review. I’m known for strict guideline adherence and consistent delivery of accurate, high-quality labeled data for multilingual and low-resource language AI systems.

In my current role as a Senior AI Data Annotator, I execute large-scale data collection, evaluation, and annotation on Hausa and English datasets. I conduct pairwise comparisons and ranked response evaluations using defined rubrics, complete counting and classification tasks, and tag objects across text, image, audio, and video while reviewing model outputs for relevance, coherence, and safety.

Previously, I served as an AI Data Quality Reviewer and a Machine Learning Data Contributor, where I performed linguistic quality checks, categorized and labeled large training datasets, flagged inaccurate outputs, and supported dataset validation and inter-annotator consistency checks. With a Computer Science background and training in AI data ethics and quality assurance, I bring a disciplined remote-work approach that prioritizes quality, bias awareness, and reliable outcomes.

Experience

Work history, roles, and key accomplishments

SA

Machine Learning Data Contributor

Scale AI

Jan 2018 - Jan 2020 (2 years)

Generated and evaluated training data for AI/ML projects, including multimodal annotation across text, images, and audio. Performed pairwise ranking and response evaluation using rubrics and supported dataset cleanup and quality audits.

DN

Data Annotation Specialist

Data Annotation Nigeria

Jan 2016 - Jan 2018 (2 years)

Labeled and validated text and image datasets for local AI research projects, including object tagging and classification for visual data. Performed counting and categorization for structured datasets, applied quality checks, and helped resolve unclear labeling cases with supervisors.

Education

Degrees, certifications, and relevant coursework

University of Lagos logoUL

University of Lagos

Master of Science (M.Sc.), Computer Science

2019 - 2021

Master of Science (M.Sc.) in Computer Science at the University of Lagos from 2019 to 2021.

University of Lagos logoUL

University of Lagos

Master of Science, Computer Science

2019 - 2021

Completed a Master of Science (M.Sc.) in Computer Science at the University of Lagos from 2019 to 2021.

UL

University of Lagos

Bachelor of Science, Computer Science

2014 - 2018

Completed a Bachelor of Science (B.Sc.) in Computer Science at the University of Lagos from 2014 to 2018.

University of Lagos logoUL

University of Lagos

Bachelor of Science (B.Sc.), Computer Science

2014 - 2018

Bachelor of Science (B.Sc.) in Computer Science at the University of Lagos from 2014 to 2018.

Tech stack

Software and tools used professionally

Availability

Open to opportunities

Location

Nigeria

Authorized to work in

Website

https://Okechukwu Moses📞 08147282732📍4 Atinuke Olabamiji St, Allen, Ikeja 101233, Lagos Nigeria📧okechukwuokechu@gmail.comPROFESSIONAL PROFILEAI Data Specialist with extensive experience supporting the development and evaluation ofAI-generated content through structured data collection, annotation, and quality review.Fluent in Hausa and English, with strong capability in pairwise comparisons, counting tasks,and object tagging across text, image, audio, and video datasets. Known for strict guidelineadherence and consistent delivery of accurate, high-quality labeled data for multilingual andlow-resource language AI systems.PROFESSIONAL EXPERIENCESenior AI Data Annotator (igbo) - TELUS Digital (Remote)2022 -Present● Executed large-scale data collection, evaluation, and annotation on Hausa andEnglish datasets● Conducted pairwise comparisons and ranked AI-generated responses using definedrubrics● Completed counting and classification tasks with high accuracy● Tagged and labeled objects across images, audio, video, and text datasets● Reviewed model outputs for relevance, coherence, and safety● Ensured consistency by strictly following project rules and quality standardsAI Data Quality Reviewer -Appen 2020 - 2022● Reviewed AI-generated content for correctness and compliance with annotationguidelines● Performed linguistic quality checks on igbo and English data● Categorized and labeled large volumes of training datasets● Identified and flagged inaccurate or misleading outputs● Supported dataset validation and inter-annotator consistency checks● Maintained strong quality scores while meeting productivity targetsMachine Learning Data Contributor - Scale AI (Remote)2018 - 2020● Generated and evaluated training data for AI and machine learning projects● Annotated multimodal datasets including text, image, and audio content● Performed pairwise ranking and response evaluation tasks● Applied content rubrics for relevance, safety, and usefulness● Assisted with quality audits and dataset cleanup activities● Delivered consistent performance across multiple concurrent projectsData Annotation Specialist - Data Annotation Nigeria (Lagos, Nigeria)2016 - 2018● Labeled and validated text and image datasets for local AI research projects● Performed object tagging and classification tasks on visual data● Assisted with data collection and preprocessing activities● Conducted counting and categorization tasks for structured datasets● Applied quality checks to ensure annotation accuracy● Collaborated with supervisors to resolve unclear labeling casesEDUCATIONMaster of Science (M.Sc.) - Computer ScienceUniversity of Lagos, Lagos, Nigeria2019 - 2021Bachelor of Science (B.Sc.) - Computer ScienceUniversity of Lagos, Lagos, Nigeria2014 - 2018TECHNICAL SKILLSAI & Data Tasks● Data collection, evaluation, and annotation● Pairwise comparisons● Counting tasks● Object tagging and labeling across different content types (audio, video, images, orcollected data)Tools & Platforms● Appen● Labelbox● MTurk● CVATDATA ANNOTATION● Text labeling● Image tagging● Audio transcription● Video labeling● Entity recognition● Sentiment analysisLANGUAGES● Igbo -Fluent● English -FluentCERTIFICATIONS1.Data Annotation & Labeling Fundamentals - Appen Academy (2018)2. AI for Everyone -DeepLearning.AI (2019)3. Natural Language Processing Basics - Coursera (2019)4. Responsible AI & Data Ethics - Google (2020)5. Quality Assurance in AI Data Projects - TELUS Digital Learning (2021). Multilingual Dataset Development - Coursera (2023)CORE COMPETENCIES● AI model evaluation● Hausa language data support● Multilingual data annotation● Quality assurance● Content moderation● Attention to detail● Remote work discipline● Data ethics & bias detectionHOBBIES● Reading technology articles● Igbo-English translation practice● Online learning● AI research● Problem-solving activities

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