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Denilson K.

Denilson K.

AI Content Reviewer (Remote)

Kenya flagN/A, Kenya

Key Skills

Software

Scale AIScale AI
AppenAppen

Top Subject Matter

AI content evaluation and quality assurance
Data quality research and content evaluation
QA review and AI content evaluation

Top Data Types

TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
PolylinePolyline
Point/Key PointPoint/Key Point

Freelancer Overview

AI Content Reviewer (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Appen, and TELUS International AI. Education includes Bachelor of Arts, University of California, Santa Barbara (2021) and Certificate, University of Washington (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Scale AI

AI Content Reviewer (Remote)

Scale AIScale AITextText

Evaluated AI-generated responses for accuracy, reasoning quality, and adherence to project guidelines. Produced evidence-based rationales documenting evaluation decisions and identifying logical gaps or inconsistencies in model outputs. Applied structured review standards to large volumes while working under remote quality and productivity expectations. • Assessed reasoning quality and guideline compliance for each AI response • Wrote structured written feedback using evidence-based observations • Flagged errors, missing context, and unclear or inconsistent reasoning • Provided feedback to support improvement of AI model performance and reliability

2023 - Present
Appen

Data Quality & Research Associate (Remote)

AppenAppenTextText

Reviewed written and visual content to ensure alignment with quality and accuracy standards. Conducted detailed analysis of datasets and documented findings while evaluating contextual accuracy, nuance, and consistency. Followed detailed project guidelines and maintained high attention to detail and deadline performance. • Evaluated content for contextual accuracy, nuance, and consistency • Analyzed data sets and documented research findings clearly • Checked for quality and accuracy alignment with project standards • Collaborated with distributed teams to improve review consistency

2022 - 2023
Scale AI

QA & Content Review Assistant - TELUS International AI

Scale AIScale AI

In this remote QA & Content Review Assistant role, you supported AI data review and content evaluation tasks across multiple digital platforms. You identified errors, missing information, and inconsistencies in AI-generated content and translated findings into organized reports. You maintained accuracy while completing structured evaluation and annotation assignments and adhered to operational guidelines. • Assisted with AI content evaluation across platforms • Identified inaccuracies and inconsistencies in outputs • Produced written summaries of findings and recommendations • Ensured guideline compliance for quality assurance

2021 - 2022

QA & Content Review Assistant (Remote)

TextText

Assisted with AI data review and content evaluation tasks across multiple digital platforms. Identified errors, missing information, and inconsistencies in AI-generated content and produced organized written reports of review findings. Supported quality assurance by ensuring adherence to operational guidelines and completing structured evaluation and annotation assignments. • Reviewed AI-generated content for errors and inconsistencies • Produced structured written reports summarizing findings and recommendations • Maintained accuracy while completing evaluation and annotation tasks • Ensured guideline compliance to support QA operations

2021 - 2022

Education

U

University of Washington

Certificate, Data Analytics and Research Methods

Certificate
2020 - 2021
U

University of California, Santa Barbara

Bachelor of Arts, Communication

Bachelor of Arts
2017 - 2021

Work History

S

Scale AI

AI Content Reviewer

N/A
2023 - Present
A

Appen

Data Quality & Research Associate

N/A
2022 - 2023