Lisbon Nyameto

Key Skills

Software

iMerit

Sama

Top Subject Matter

AI-generated Image Quality Evaluation

AI Text Response Rating and Safety Evaluation

Multimodal Dataset Labeling and Quality Assurance for Machine Learning

Top Data Types

Image

Text

Document

Top Task Types

Data Collection

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Function Calling

Freelancer Overview

Image Quality Rater (Remote). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit, e2f, and Sama. Education includes Diploma, Kisii University (2017). AI-training focus includes data types such as Image, Text, and Multimodal and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Image Quality Rater (Remote)

ImeritImage

Evaluated AI-generated images for accuracy, clarity, and adherence to structured guidelines. Assessed and ranked image sets for quality and relevance to provided prompts. Identified and flagged issues including artifacts, visual errors, and non-compliance according to annotation requirements. Maintained quality assurance and consistency by following annotation protocols. • Performed systematic visual inspections to detect distortions or unnatural elements. • Selected best and worst images among multiple AI outputs for each prompt. • Compared and rated AI-generated images based on aesthetics and prompt alignment. • Ensured strict compliance with project and security standards.

Evaluated AI-generated images for accuracy, clarity, and adherence to structured guidelines. Assessed and ranked image sets for quality and relevance to provided prompts. Identified and flagged issues including artifacts, visual errors, and non-compliance according to annotation requirements. Maintained quality assurance and consistency by following annotation protocols. • Performed systematic visual inspections to detect distortions or unnatural elements. • Selected best and worst images among multiple AI outputs for each prompt. • Compared and rated AI-generated images based on aesthetics and prompt alignment. • Ensured strict compliance with project and security standards.

2026 - Present

AI Data Trainer and Quality Specialist

SamaData Collection

Managed end-to-end annotation, labeling, and validation across text, image, audio, and video datasets for machine learning. Performed entity labeling, document classification, pattern identification, transcription, and edge case annotation to ensure dataset reliability. Reviewed and validated ML model outputs, ensuring consistency and accuracy according to stringent project specifications. Conducted quality assurance, collaborated on workflow improvement, and maintained detailed records of annotated data. • Delivered high-precision multimodal dataset annotation and validation. • Identified edge cases, anomalies, and special pattern instances for robust model performance. • Maintained 98%+ annotation accuracy and performed systematic checks of annotated datasets. • Collaborated with engineering teams to optimize annotation systems and resolve data issues.

Managed end-to-end annotation, labeling, and validation across text, image, audio, and video datasets for machine learning. Performed entity labeling, document classification, pattern identification, transcription, and edge case annotation to ensure dataset reliability. Reviewed and validated ML model outputs, ensuring consistency and accuracy according to stringent project specifications. Conducted quality assurance, collaborated on workflow improvement, and maintained detailed records of annotated data. • Delivered high-precision multimodal dataset annotation and validation. • Identified edge cases, anomalies, and special pattern instances for robust model performance. • Maintained 98%+ annotation accuracy and performed systematic checks of annotated datasets. • Collaborated with engineering teams to optimize annotation systems and resolve data issues.

2019 - Present

AI Response Evaluator (Remote)

Text

Evaluated AI-generated text responses for factual correctness, safety, clarity, and alignment with provided prompts. Compared multiple AI outputs using A/B testing to determine the most accurate and helpful result. Identified hallucinations, inconsistencies, and inappropriate content, providing structured feedback to improve model quality. Adhered to the Harmless, Honest, Helpful (3H) guideline framework throughout all evaluations. • Analyzed and rated response quality, providing justifications for decisions. • Detected subtle errors and patterns indicating bias or incorrect reasoning. • Maintained consistency and high accuracy in large-scale evaluation tasks. • Adapted to evolving guidelines and provided real-time feedback to enhance performance.

Evaluated AI-generated text responses for factual correctness, safety, clarity, and alignment with provided prompts. Compared multiple AI outputs using A/B testing to determine the most accurate and helpful result. Identified hallucinations, inconsistencies, and inappropriate content, providing structured feedback to improve model quality. Adhered to the Harmless, Honest, Helpful (3H) guideline framework throughout all evaluations. • Analyzed and rated response quality, providing justifications for decisions. • Detected subtle errors and patterns indicating bias or incorrect reasoning. • Maintained consistency and high accuracy in large-scale evaluation tasks. • Adapted to evolving guidelines and provided real-time feedback to enhance performance.

2024 - 2024

Education

Work History