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Mukunzu V.

Mukunzu V.

AI Trainer at iMerit Scholars (2025 to present)

Kenya flagNairobi, Kenya

Key Skills

Software

iMeritiMerit
Other

Top Subject Matter

AI training and content evaluation (multimodal)
Machine learning dataset annotation
AI-enabled data processing for reporting

Top Data Types

TextText
ImageImage
VideoVideo
AudioAudio

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
Function CallingFunction Calling

Freelancer Overview

AI Trainer at iMerit Scholars (2025 to present). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit and Other. Education includes Master of Science, University of Nairobi (2025) and Bachelor of Science, University of Kabianga (2018). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

iMerit

AI Trainer at iMerit Scholars (2025 to present)

iMeritiMeritTextText

Provided AI training support by summarizing video and conversation content according to guidelines. Evaluated and scored outputs across text, images, and videos for quality, correctness, coherence, and cultural alignment. Identified issues such as bias, logical gaps, and hallucinations, then delivered clear consistent feedback to improve model performance. • Content summarization for videos and conversations • Output evaluation and scoring (quality, coherence, cultural alignment) • Bias, hallucination, and logic gap detection • Guideline-based feedback and corrective suggestions

2025 - Present

Analyst – Digital Reporting at IPSOS (2022–2025)

OtherTextTextFunction CallingFunction Calling

Integrated AI-driven scripting and transcription workflows to automate survey processing and improve data accuracy and efficiency. Supported the development of automated reporting platforms by consolidating and streamlining data for public health and commercial projects. Coordinated validation and visualization processes to enable timely, real-time reporting and actionable insights for stakeholders. • Automated survey processing via AI scripting and transcription • Enabled real-time reporting through optimized data workflows • Supported data collection, validation, and visualization • Built interactive dashboards for actionable insights

2022 - 2025

Programmer at IPSOS (2019–2021)

OtherTextTextEntity (NER) ClassificationEntity (NER) Classification

Performed dataset labeling, classification, and annotation across text, images, audio, and video to support machine learning and AI model training. Assessed and reported data inconsistencies or ambiguities to improve dataset reliability and downstream model performance. Maintained detailed documentation of annotation workflows, labeling criteria, and project updates to ensure consistent quality. • Labeled and annotated large datasets (text, images, audio, video) • Classified and organized data to support ML training • Flagged inconsistencies and ambiguities affecting reliability • Documented labeling criteria and workflow updates

2019 - 2021

Education

U

University of Kabianga

Bachelor of Science, Applied Statistics with Computing

Bachelor of Science
2014 - 2018
U

University of Nairobi

Master of Science, Data Science

Master of Science
2025

Work History

I

Ipsos

Analyst, Digital Reporting

Nairobi
2022 - 2025
I

Ipsos

Programmer

Nairobi
2019 - 2021