For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
O
Onwugbenu O.

Onwugbenu O.

Senior Data Annotation Specialist / AI Trainer (Jun '22 — May '26, Appen Remote)

USA flagN/A, Usa

Key Skills

Software

LabelboxLabelbox
Label StudioLabel Studio
TelusTelus
TolokaToloka
Surge AISurge AI
SuperAnnotateSuperAnnotate
RemotasksRemotasks
Redbrick AIRedbrick AI
MindriftMindrift
OneFormaOneForma
Mighty AIMighty AI
Micro1
Img Lab
HiveMindHiveMind
AppenAppen
Other

Top Subject Matter

MARKET RESEARCH-CUSTOMER FEEDBACK&SURVEY DATA
E-COMMERCE- PRODUCT CATEGORIZATION &SUPPORT DATA
HEALTHCARE-MEDICAL RECORDS & PATIENT DATA

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText
AudioAudio

Top Task Types

PolylinePolyline
Object DetectionObject Detection
Text GenerationText Generation
Fine-tuningFine-tuning
Bounding BoxBounding Box
SegmentationSegmentation
TrackingTracking
Entity (NER) ClassificationEntity (NER) Classification
ClassificationClassification
Point/Key PointPoint/Key Point

Freelancer Overview

Senior Data Annotation Specialist / AI Trainer (Jun '22 — May '26, Appen Remote). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Remotasks, and Other. Education includes Master of Science, Fordham University (2019) and Bachelor of Arts, Columbia University (2017). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Fine-tuning, Translation, and Localization.

Labeling Experience

Evaluation Rating Annotation for Product Review

TextTextEvaluation/RatingEvaluation/Rating

Annotated and rated online survey responses for market research.Evaluated customer feedback,applied consistent labeling criteria,and ensured high-quality,accurate data for AI training across 5000 responses.

2023 - 2026
Appen

Senior Data Annotation Specialist - Appen

AppenAppenTextTextBounding BoxBounding BoxSegmentationSegmentation

Led creation, QA sampling, and iterative refinement of evaluation guidelines for LLM instruction and chatbot response quality. Coordinated cross-functional reviews with machine learning engineers and researchers to improve dataset reliability. Delivered and optimized training data by automating parts of the pipeline while applying linguistic QA and metrics-driven validation.• Designed annotation guidelines and edge-case decision rules to improve consistency. • Managed large-scale dataset QA processes and inter-annotator agreement scoring. • Automated portions of annotation workflows to reduce manual validation time. • Improved label accuracy through targeted retraining and guideline iteration.

2022 - 2026
Appen

Senior Data Annotation Specialist / AI Trainer (Jun '22 — May '26, Appen Remote)

AppenAppenTextTextFine-tuningFine-tuning

Oversaw large-scale annotation for LLM instruction-following and chatbot response evaluation used for fine-tuning and evaluation workflows. Established QA sampling and inter-annotator agreement metrics to measure consistency and improve accuracy over time. Automated parts of the annotation pipeline with scripts to reduce manual validation effort and shorten delivery timelines. • Created and maintained annotation guidelines for instruction, response evaluation, and modality-specific tasks • Coordinated cross-functional reviews with ML engineers and researchers to validate label quality • Implemented targeted retraining and guideline iteration to raise annotation accuracy • Reduced manual validation time and shortened training data delivery timelines

2022 - 2026
Labelbox

Linguistic Quality Assurance Analyst - C Remote

LabelboxLabelboxImageImageClassificationClassification

Managed linguistic quality assurance for transcription, translation, and localization projects across technical and general domains. Defined acceptance criteria and QA checklists to ensure multilingual deliverable quality. Supervised vendor annotator and reviewer teams while translating QA findings into feedback loops for product and research stakeholders.• Established multilingual QA checklists and reviewer calibration practices. • Conducted search relevance and social media content evaluations for ranking and moderation. • Produced labeled test sets to tune relevance thresholds and moderation rules. • Collaborated with product and research teams to reduce localization-related model errors.

2019 - 2022
Remotasks

Linguistic QA Analyst / Localization Lead (Jan '19 — May '22, C Remote)

RemotasksRemotasksAudioAudio

Led linguistic QA and localization work spanning transcription, translation, and multilingual acceptance criteria. Supervised annotation teams and reviewers on vendor platforms while improving translation QA pass-rates via audits and calibration sessions. Produced labeled test sets to tune search relevance and moderation thresholds, then fed QA findings back into model feedback loops. • Managed transcription, translation, and localization QA across STEM and general domains • Defined acceptance criteria and QA checklists for multilingual deliverables • Supervised annotators/reviewers on RWS and Remotasks and performed reviewer calibration • Conducted search relevance and social media evaluation for ranking and moderation models

2019 - 2022

Education

C

Columbia University New York

Masters , Quantitative finance

Masters
2023 - 2025
F

Fordham University

Master of Science, Computational Linguistics

Master of Science
2017 - 2019

Work History

M

MORGAN STANLEY

INVESTMENT BANKING & MRAANALYST

NEW YORK
2024 - Present
A

Appen

Senior Data Annotation Specialist

N/A
2022 - 2026