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Festus Asiyanbi

Festus Asiyanbi

AI Model Evaluation Specialist (Meta Project via RWS)

CANADA flag
Saint John, NB, Canada
$15.00/hrEntry LevelOtherData Annotation TechTelus

Key Skills

Software

Other
Data Annotation TechData Annotation Tech
TelusTelus
MercorMercor

Top Subject Matter

AI Model Evaluation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Text Generation
Object Detection
Text Summarization
Transcription
Prompt Response Writing SFT
Fine Tuning
Question Answering

Freelancer Overview

AI Model Evaluation Specialist (Meta Project via RWS). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Diploma in Software Engineering Technician, Centennial College (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Entry LevelEnglish

Labeling Experience

AI Model Evaluation Specialist (Meta Project via RWS)

OtherText
As an AI Model Evaluation Specialist on the Meta Project via RWS, I was responsible for assessing AI-generated outputs for their quality and accuracy. My work included detailed analysis, benchmarking model performance, and providing structured feedback to guide model improvement. The position required strict adherence to quality guidelines and precise documentation of results. • Evaluated AI model outputs across multiple domains for technical accuracy and logical reasoning. • Compared alternative responses to identify inconsistencies, hallucinations, and edge-case issues. • Tagged and categorized content by topic, difficulty, and correctness for benchmarking. • Delivered structured feedback using evaluation rubrics to improve AI model performance.

As an AI Model Evaluation Specialist on the Meta Project via RWS, I was responsible for assessing AI-generated outputs for their quality and accuracy. My work included detailed analysis, benchmarking model performance, and providing structured feedback to guide model improvement. The position required strict adherence to quality guidelines and precise documentation of results. • Evaluated AI model outputs across multiple domains for technical accuracy and logical reasoning. • Compared alternative responses to identify inconsistencies, hallucinations, and edge-case issues. • Tagged and categorized content by topic, difficulty, and correctness for benchmarking. • Delivered structured feedback using evaluation rubrics to improve AI model performance.

Not specified

Education

C

Centennial College

Diploma in Software Engineering Technician, Software Engineering Technology

Diploma in Software Engineering Technician
2023 - 2024

Work History

V

Vosyn

Frontend Developer Intern

Etobicoke, ON
2024 - Present
D

Diimtech

Frontend Web and Mobile Developer

Remote
2022 - 2023