For employers

Hire this AI Trainer

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

Invite to Job
I
Idorenyin U.

Idorenyin U.

AI Data Annotator & Content Reviewer

Nigeria flagLagos, Nigeria

Key Skills

Software

AppenAppen
ClickworkerClickworker
CloudFactoryCloudFactory
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
Deep SystemsDeep Systems
Google Cloud Vertex AIGoogle Cloud Vertex AI
LionbridgeLionbridge
Micro1
MindriftMindrift
OneFormaOneForma
RemotasksRemotasks
Scale AIScale AI
SuperAnnotateSuperAnnotate
Surge AISurge AI
TelusTelus
Internal/Proprietary Tooling
EncordEncord
LabelboxLabelbox
CVATCVAT
Label StudioLabel Studio
TolokaToloka
ArgillaArgilla
V7 LabsV7 Labs

Top Subject Matter

Agentic LLM training
RLHF-style evaluation
quality assessment

Top Data Types

AudioAudio
ImageImage
VideoVideo
TextText
DocumentDocument

Top Task Types

Action RecognitionAction Recognition
Audio RecordingAudio Recording
ClassificationClassification
Evaluation/RatingEvaluation/Rating
SegmentationSegmentation
RLHFRLHF
TrackingTracking
Entity (NER) ClassificationEntity (NER) Classification
Data CollectionData Collection
Bounding BoxBounding Box
PolygonPolygon
Object DetectionObject Detection
Text GenerationText Generation
Text SummarizationText Summarization
Question AnsweringQuestion Answering
Fine-tuningFine-tuning
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Function CallingFunction Calling
TranscriptionTranscription
Computer Programming/CodingComputer Programming/Coding
Red TeamingRed Teaming

Freelancer Overview

I am an experienced AI Data Quality Specialist, LLM Evaluator, and Creative Freelancer with a strong track record in data annotation, expert evaluation, and AI model benchmarking. My expertise spans complex annotation workflows across diverse domains, including e-commerce analytics, product taxonomy, and video text alignment. I specialize in high volume, precision driven tasks such as RLHF style response evaluation, multi step reasoning validation, and deep data quality assurance to refine large language model outputs. What sets me apart is my ability to quickly identify subtle failure patterns, execute rigorous data verification, and maintain strict labeling consistency across massive datasets. Combining strong analytical reasoning with professional communication and brand management skills, I bridge the gap between technical data needs and highly accurate, human centric evaluation loops to ensure AI systems produce reliable, safe, and factually sound outputs.

Labeling Experience

Toloka

Toloka: AI Data Annotation & Content Review Specialist

TolokaTolokaTextTextSegmentationSegmentation

Supported machine learning and artificial intelligence projects through data annotation, content validation, quality review, and dataset preparation activities across diverse AI training initiatives

2025 - 2026

Mindrift — AI Content Evaluator & QA Specialist

OtherImageImageEvaluation/RatingEvaluation/Rating

Contribute to AI evaluation projects focused on improving the quality, accuracy, and reliability of Large Language Models (LLMs) through structured assessment, content review, and data quality assurance workflows.

2025 - 2026

Turing — AI Domain Expert | Agentic LLM Trainer

OtherTextTextRLHFRLHF

Served as an AI Domain Expert optimizing the sales lifecycle, CRM data architecture, and operational workflows for frontier Large Language Models (LLMs). Designed, benchmarked, and validated complex datasets to train agentic AI frameworks in reasoning, accuracy, and enterprise tool execution.

2025 - 2026

TELUS Digital AI Data Solutions: AI Operations & Data Annotation Specialist

VideoVideoClassificationClassification

Led data curation and annotation projects to build robust datasets for multimodal (text, image, audio) machine learning models, specializing in system process scaling and quality governance.

2023 - 2025
Labelbox

Multimodal Data Annotation Project – Hugotech AI

LabelboxLabelboxImageImageBounding BoxBounding BoxSegmentationSegmentation

Contributed to a large scale multimodal AI training project focused on improving visual recognition and contextual understanding in generative AI systems. Tasks included image classification, object detection, and video scene labeling using annotation tools such as Appen and Labelbox. Reviewed over 10,000+ data samples to ensure labeling precision, narrative flow, and adherence to project guidelines. Collaborated with quality assurance teams to validate outputs, maintain consistency across annotations, and improve workflow efficiency. Ensured 99% accuracy by following detailed labeling protocols and verifying all metadata and quality metrics before submission.

2023 - 2025

Education

N

National Open University of Nigeria

Distinction, Computer Science

Distinction
2022 - 2026
T

Turing University

Excellent, LLM Agentic Training

Excellent
2025 - 2025

Work History

M

Mindrift · Freelance

AI Content Evaluator & Quality Assurance Specialist

Remote
2025 - Present
T

Toloka Annotators . Freelance

AI Data Annotation & Content Review Specialist

Remote
2025 - Present