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Valentine Amoso

Valentine Amoso

AI Response Evaluation & Quality Assessment (Training, Coursework, Projects)

Kenya flagN/A, Kenya
$20.00/hrEntry LevelLabel StudioCVATLabelbox

Key Skills

Software

Label StudioLabel Studio
CVATCVAT
LabelboxLabelbox
RoboflowRoboflow
Data Annotation TechData Annotation Tech

Top Subject Matter

AI/LLM Evaluation

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
VideoVideo

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
PolygonPolygon
Entity (NER) ClassificationEntity (NER) Classification
ClassificationClassification
Point/Key PointPoint/Key Point
CuboidCuboid
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
RLHFRLHF
Fine-tuningFine-tuning

Freelancer Overview

AI Response Evaluation & Quality Assessment (Training, Coursework, Projects). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Education Science, Kibabii University (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Entry LevelEnglish

Labeling Experience

AI Response Evaluation & Quality Assessment (Training, Coursework, Projects)

Text
Contributed to AI training and response evaluation by critically assessing model outputs. Applied structured thinking and logical reasoning to analyze text-based data for accuracy and quality. Utilized foundational skills in data analysis to ensure the reliability of labeled data. • Evaluated AI responses across multiple contexts for effectiveness. • Maintained high accuracy in reviewing and rating model-generated text. • Applied logical reasoning to critique and provide structured feedback on AI outputs. • Ensured the quality and integrity of data annotations through detailed evaluations.

Contributed to AI training and response evaluation by critically assessing model outputs. Applied structured thinking and logical reasoning to analyze text-based data for accuracy and quality. Utilized foundational skills in data analysis to ensure the reliability of labeled data. • Evaluated AI responses across multiple contexts for effectiveness. • Maintained high accuracy in reviewing and rating model-generated text. • Applied logical reasoning to critique and provide structured feedback on AI outputs. • Ensured the quality and integrity of data annotations through detailed evaluations.

Present

Education

K

Kibabii University

Bachelor of Education Science, Mathematics and Chemistry

Bachelor of Education Science
2022

Work History

S

St. Mary’s Burumba Secondary School

Teacher – Mathematics & Science

N/A
2022 - Present