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Abdulsamad Oshifuye

QA Evaluator (English – UK), Outlier

UNITED_KINGDOM flag
London, United Kingdom
$17.00/hrIntermediateClickworkerRemotasksOneforma

Key Skills

Software

ClickworkerClickworker
RemotasksRemotasks
OneFormaOneForma

Top Subject Matter

AI-generated English content
Qa Domain Expertise
reading/listening/reasoning tasks

Top Data Types

TextText
AudioAudio
DocumentDocument

Top Task Types

Bounding Box
Polygon
Segmentation
Classification
Entity Ner Classification
Point Key Point
Cuboid
Object Detection
Text Generation
Question Answering
Text Summarization
Fine Tuning
Red Teaming
Transcription
Evaluation Rating
Data Collection
Function Calling
Prompt Response Writing SFT

Freelancer Overview

QA Evaluator (English – UK), Outlier. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Hubstaff. Education includes Bachelor of Science, De Montfort University (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

IntermediateYorubaGermanEnglish

Labeling Experience

QA Evaluator (English – UK), Outlier

Text
As a QA Evaluator, I annotated and evaluated AI-generated English content for reading and listening comprehension as well as reasoning tasks. I applied detailed annotation and QA guidelines to assess correctness, semantic alignment, and logical consistency. I consistently flagged ambiguities and delivered feedback to ensure dataset quality. • Delivered large volumes of annotation according to project productivity requirements • Provided structured written feedback on flawed or ambiguous data • Demonstrated strong attention to detail on higher-complexity annotation batches • Used remote time-tracking tools for independent, audited work

As a QA Evaluator, I annotated and evaluated AI-generated English content for reading and listening comprehension as well as reasoning tasks. I applied detailed annotation and QA guidelines to assess correctness, semantic alignment, and logical consistency. I consistently flagged ambiguities and delivered feedback to ensure dataset quality. • Delivered large volumes of annotation according to project productivity requirements • Provided structured written feedback on flawed or ambiguous data • Demonstrated strong attention to detail on higher-complexity annotation batches • Used remote time-tracking tools for independent, audited work

2025 - Present

Education

D

De Montfort University

Bachelor of Science, Pharmaceutical and Cosmetic Science

Bachelor of Science
2022 - 2025

Work History

N

No7 Beauty Company

R&D Laboratory Intern – Cosmetic Science

Nottingham
2025 - 2025
S

Semble

Product Intern

London
2025 - 2025