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Valentine W.

Valentine W.

AI Data Annotation Specialist (Contractor/Freelance)

Nigeria flagIkot Ekpene, Nigeria

Key Skills

Software

LabelboxLabelbox
CVATCVAT
MercorMercor
Micro1

Top Subject Matter

AI/ML Model Training Data
Generalist Researcher/Writer
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

Bounding BoxBounding Box
ClassificationClassification
RLHFRLHF
Evaluation/RatingEvaluation/Rating
Text GenerationText Generation

Freelancer Overview

AI Data Annotation Specialist (remote/freelance roles across AI platforms). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label box. Education includes Bachelor of Philosophy, St. Joseph Major Seminary, Ikot Ekpene — Affiliated with Pontifical Urbaniana University, Rome (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating. I have AI certifications from IBM Skills Build and Cisco Networking, as well as Prompting Engineering training with DeepLearning.AI. I have done jobs in the Aether Project in Outlier.ai and currently working on the Pegasus Project in Welo data. I am also currently on the talent pool for Uber AI, Mercor and Micro1ai.

Labeling Experience

Labelbox

AI Data Annotation Specialist (Contractor/Freelance)

LabelboxLabelboxTextText

As an AI Data Annotation Specialist, I have evaluated and labeled large volumes of text for AI/ML training and improvement projects. I assessed the accuracy, consistency, and factuality of AI-generated responses using structured rubrics and guidelines. My work included RLHF tasks, sentiment analysis, intent classification, and multi-criteria quality review for safety, coherence, and content alignment. • Labeled AI and human-generated text samples for classification, ranking, and fact-checking. • Performed RLHF (Reinforcement Learning from Human Feedback) tasks, ranking and rating responses per rubric. • Detected hallucinations, bias, and inconsistencies in AI outputs using detailed evaluation frameworks. • Used annotation software and platforms adaptable to Scale AI, Appen, Toloka, Remotasks, DataAnnotation.tech, and Labelbox.

2022 - Present

Education

S

St. Joseph Major Seminary, Ikot Ekpene — Affiliated with Pontifical Urbaniana University, Rome

Bachelor of Philosophy, Philosophy

Bachelor of Philosophy
2016 - 2020

Work History

S

St. Joseph Major Seminary

Assistant to the Rector

Ikot Ekpene
2022 - Present
H

Hope for African Child Initiative

Chairperson, South-South Region Volunteers

N/A
2019 - Present