Kevin Otieno

Key Skills

Software

CloudFactory

Other

Micro1

Toloka

Mindrift

OneForma

Top Subject Matter

AI agent evaluation

computer vision

workflow simulation

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Classification

Bounding Box

Transcription

Evaluation/Rating

Computer Programming/Coding

Prompt + Response Writing (SFT)

Text Summarization

Text Generation

RLHF

Function Calling

Freelancer Overview

AI Trainer – Data Labeling and Annotation | Pareto.AI. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and CloudFactory. Education includes Bachelor of Science, Busoga University (2016) and Certificate, eMobilis Mobile Technology Institute (2012). AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Classification.

Labeling Experience

AI Trainer – Data Labeling and Annotation | Pareto.AI

OtherImageClassification

As an AI Trainer specializing in Data Labeling and Annotation at Pareto.AI, I produced precise visual and structured annotations for a variety of datasets. My work included large-scale image annotation, multimodal data collection, structured prompt design, spreadsheet dataset validation, and AI system capability labeling. I ensured accuracy and consistency while adhering to detailed annotation guidelines for AI model training and benchmarking. • Labeled product and lifestyle images for computer vision and image generation. • Collected and labeled synchronized video, audio, and action sequences for multimodal datasets. • Created structured JSON prompts and comprehensive taxonomy tags for AI benchmarking. • Controlled quality by auditing and correcting annotated datasets for consistency and accuracy.

As an AI Trainer specializing in Data Labeling and Annotation at Pareto.AI, I produced precise visual and structured annotations for a variety of datasets. My work included large-scale image annotation, multimodal data collection, structured prompt design, spreadsheet dataset validation, and AI system capability labeling. I ensured accuracy and consistency while adhering to detailed annotation guidelines for AI model training and benchmarking. • Labeled product and lifestyle images for computer vision and image generation. • Collected and labeled synchronized video, audio, and action sequences for multimodal datasets. • Created structured JSON prompts and comprehensive taxonomy tags for AI benchmarking. • Controlled quality by auditing and correcting annotated datasets for consistency and accuracy.

2024 - Present

Data Specialist – Data Entry and Labeling | Cloudfactory Kenya

CloudfactoryTextClassification

As a Data Specialist at Cloudfactory Kenya, I performed high-volume structured data entry and labeling on various datasets. Tasks included validation, classification, data correction using Python, and ensuring compliance with strict client annotation guidelines. I maintained high accuracy and consistency, meeting or exceeding client satisfaction requirements. • Labeled and validated large data sets using internal UI tools and MS Excel. • Conducted quality checks on annotated data to ensure completeness and accuracy. • Used SQL and Python to identify and correct flaws in datasets before labeling. • Ensured all labeling activities adhered to detailed client instructions and benchmarks.

As a Data Specialist at Cloudfactory Kenya, I performed high-volume structured data entry and labeling on various datasets. Tasks included validation, classification, data correction using Python, and ensuring compliance with strict client annotation guidelines. I maintained high accuracy and consistency, meeting or exceeding client satisfaction requirements. • Labeled and validated large data sets using internal UI tools and MS Excel. • Conducted quality checks on annotated data to ensure completeness and accuracy. • Used SQL and Python to identify and correct flaws in datasets before labeling. • Ensured all labeling activities adhered to detailed client instructions and benchmarks.

2021 - 2024

Data Officer – Data Entry and Validation | Ministry of Health – National Malaria Program

OtherDocumentClassification

As a Data Officer for the National Malaria Program, I labeled and validated health-related data in multiple digital health platforms. Responsibilities included structured data entry, mass data cleaning, application of classification conventions, and use of standard clinical management guidelines. My output was used for national health reporting and analysis. • Entered and labeled clinical and field data elements in Kenya DHIS-2, EMR, DATIM, and KMHFL. • Cleaned and classified large datasets from community health interventions and surveys. • Applied coding and labeling guidelines to ensure national compliance. • Contributed to health analytics by providing annotated outputs for government use.

As a Data Officer for the National Malaria Program, I labeled and validated health-related data in multiple digital health platforms. Responsibilities included structured data entry, mass data cleaning, application of classification conventions, and use of standard clinical management guidelines. My output was used for national health reporting and analysis. • Entered and labeled clinical and field data elements in Kenya DHIS-2, EMR, DATIM, and KMHFL. • Cleaned and classified large datasets from community health interventions and surveys. • Applied coding and labeling guidelines to ensure national compliance. • Contributed to health analytics by providing annotated outputs for government use.

2020 - 2021

Junior Data Analyst – Data Collection and Annotation | Ipsos Kenya

OtherTextClassification

At Ipsos Kenya, I was responsible for assisting in the annotation, cleaning, and validation of survey data for research and statistical analysis. My role included structured data collection, management and coding using software tools like Kobo Collect, ODK, Excel, and SPSS. I improved annotation consistency and process automation for enhanced data reliability. • Collected and annotated primary survey datasets using mobile and desktop platforms. • Performed data cleaning, classification, and validation in preparation for reporting. • Developed and delivered SPSS and Excel annotation training for the team. • Supported labeling process automation to increase efficiency and accuracy.

At Ipsos Kenya, I was responsible for assisting in the annotation, cleaning, and validation of survey data for research and statistical analysis. My role included structured data collection, management and coding using software tools like Kobo Collect, ODK, Excel, and SPSS. I improved annotation consistency and process automation for enhanced data reliability. • Collected and annotated primary survey datasets using mobile and desktop platforms. • Performed data cleaning, classification, and validation in preparation for reporting. • Developed and delivered SPSS and Excel annotation training for the team. • Supported labeling process automation to increase efficiency and accuracy.

2017 - 2019

Education

Work History