For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
M
Munyao Muendo

Munyao Muendo

AI Annotator -finance risks and fraud ditection

Kenya flagVihiga, Kenya
$10.00/hrIntermediateImeritV7 LabsCVAT

Key Skills

Software

iMeritiMerit
V7 LabsV7 Labs
CVATCVAT
CloudFactoryCloudFactory
AppenAppen

Top Subject Matter

Healthcare -medical records and patient data
E-commerce -product categorization and customer support

Top Data Types

ImageImage
VideoVideo
AudioAudio

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
ClassificationClassification
Point/Key PointPoint/Key Point
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
PolygonPolygon
Text SummarizationText Summarization
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

I am a detail-oriented AI data professional with hands-on experience in data annotation, validation, and quality assurance across multiple platforms. My work has focused on ensuring the accuracy, consistency, and reliability of AI training datasets, contributing to the development of high-performing machine learning models. Through my role with iMerit Technology Scholars, I have validated and reviewed large-scale datasets, identifying and correcting annotation errors while strictly adhering to project guidelines. This experience strengthened my ability to maintain high data quality standards and deliver consistent results in fast-paced environments. I have also worked with RWS Group as an AI Data Rater, where I evaluated AI-generated content for accuracy, relevance, and quality, applying detailed guidelines to maintain high-quality outputs. In addition, I have contributed to AI research projects through Prolific, supporting data evaluation and validation while delivering structured feedback for research-driven outcomes. I have developed skills in prompt engineering by creating structured prompts for AI video generation, combining creativity with technical understanding. Further expanding my expertise, I worked with Uber AI as a data labeler and transcriptionist, handling data labeling tasks and accurately converting audio into text. Overall, I bring strong analytical skills, attention to detail, and a deep commitment to data quality, with the ability to adapt quickly and consistently deliver high-quality results in data-driven environments.

IntermediateEnglishSwahili

Labeling Experience

UBER AI - Data Annotator

VideoEvaluation Rating
In my role at Uber AI, I used the Data Compute platform to label and evaluate video data by comparing generated outputs against original input videos. I assessed key attributes such as motion consistency, ensuring movements were natural and aligned with the source material, as well as identifying any discrepancies in visual continuity. I also evaluated sensitive attributes such as race and gender representation, carefully checking for unintended changes or inconsistencies between the input and output videos. This required a high level of attention to detail, strong analytical skills, and strict adherence to evaluation guidelines. My work contributed to improving the fairness, accuracy, and overall quality of AI-generated video outputs.

In my role at Uber AI, I used the Data Compute platform to label and evaluate video data by comparing generated outputs against original input videos. I assessed key attributes such as motion consistency, ensuring movements were natural and aligned with the source material, as well as identifying any discrepancies in visual continuity. I also evaluated sensitive attributes such as race and gender representation, carefully checking for unintended changes or inconsistencies between the input and output videos. This required a high level of attention to detail, strong analytical skills, and strict adherence to evaluation guidelines. My work contributed to improving the fairness, accuracy, and overall quality of AI-generated video outputs.

2026 - Present

UBER AI-Transcriptionist

AudioTranscription
In my role at Uber AI as a Transcriptionist, I was responsible for generating verbatim transcripts from English audio files with a high level of accuracy and attention to detail. I carefully listened to recordings and converted spoken content into precise written text, capturing speech exactly as delivered, including pauses, filler words, and variations in tone where required by guidelines. This role required strong listening skills, excellent command of English, and the ability to handle different accents, audio qualities, and speaking speeds. I consistently followed transcription standards and formatting guidelines to ensure clarity and consistency, contributing to the development of high-quality datasets used for training and improving AI language models.

In my role at Uber AI as a Transcriptionist, I was responsible for generating verbatim transcripts from English audio files with a high level of accuracy and attention to detail. I carefully listened to recordings and converted spoken content into precise written text, capturing speech exactly as delivered, including pauses, filler words, and variations in tone where required by guidelines. This role required strong listening skills, excellent command of English, and the ability to handle different accents, audio qualities, and speaking speeds. I consistently followed transcription standards and formatting guidelines to ensure clarity and consistency, contributing to the development of high-quality datasets used for training and improving AI language models.

2026 - Present

IMERIT SCHOLARS -Data Annotator

ImageBounding Box
In my role at iMerit as an AI Data Annotator, I was responsible for labeling images using bounding boxes for object detection and classification tasks. I accurately identified and outlined objects within images, ensuring each bounding box was precisely placed according to annotation guidelines. This involved classifying objects into the correct categories while maintaining consistency across large datasets. The role required strong visual attention to detail, accuracy, and the ability to follow strict labeling protocols. My work contributed to the development of computer vision models by providing high-quality annotated data used to train systems for object recognition and detection.

In my role at iMerit as an AI Data Annotator, I was responsible for labeling images using bounding boxes for object detection and classification tasks. I accurately identified and outlined objects within images, ensuring each bounding box was precisely placed according to annotation guidelines. This involved classifying objects into the correct categories while maintaining consistency across large datasets. The role required strong visual attention to detail, accuracy, and the ability to follow strict labeling protocols. My work contributed to the development of computer vision models by providing high-quality annotated data used to train systems for object recognition and detection.

2026 - 2026

Imerit -Ai Data Annotator

ImageEvaluation Rating
In my role as an AI Data Annotator at iMerit, I was responsible for evaluating images generated by AI systems to ensure they met quality and realism standards. I carefully reviewed each image, identifying common AI-generated flaws such as unnatural lighting, visual distortions, inconsistencies in textures, and structural inaccuracies. Based on these observations, I flagged low-quality outputs and categorized them according to predefined guidelines, helping improve the overall performance and reliability of the AI models. This role required strong attention to detail, visual analysis skills, and the ability to consistently apply annotation standards across large datasets. My work directly contributed to refining image generation models by ensuring only high-quality, accurate data was used for training and evaluation.

In my role as an AI Data Annotator at iMerit, I was responsible for evaluating images generated by AI systems to ensure they met quality and realism standards. I carefully reviewed each image, identifying common AI-generated flaws such as unnatural lighting, visual distortions, inconsistencies in textures, and structural inaccuracies. Based on these observations, I flagged low-quality outputs and categorized them according to predefined guidelines, helping improve the overall performance and reliability of the AI models. This role required strong attention to detail, visual analysis skills, and the ability to consistently apply annotation standards across large datasets. My work directly contributed to refining image generation models by ensuring only high-quality, accurate data was used for training and evaluation.

2025 - 2025

Education

U

UNIVERSITY OF NAIROBI

BSC computer science, computer science

BSC computer science
2022 - 2026
K

Kabaa High School

High School certificate, English And Swahili

High School certificate
2018 - 2022

Work History

R

Robela Group

Data cleaning

Nairobi
2025 - 2025