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James Nzolya

James Nzolya

AI-Oriented Dataset Structuring and Data Handling

KENYA flag
Nairobi, Kenya
$35.00/hrExpertClickworkerLionbridgeMercor

Key Skills

Software

ClickworkerClickworker
LionbridgeLionbridge
MercorMercor
Snorkel AISnorkel AI
Axiom AI
CVATCVAT
LabelboxLabelbox

Top Subject Matter

AI-Oriented Dataset Structuring

Top Data Types

VideoVideo
ImageImage
Computer Code ProgrammingComputer Code Programming

Top Task Types

Segmentation
Classification
Question Answering
Bounding Box
Transcription
Computer Programming Coding
Prompt Response Writing SFT
Function Calling
Object Detection

Freelancer Overview

AI-Oriented Dataset Structuring and Data Handling. Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertSwahiliEnglishSpanish

Labeling Experience

AI-Oriented Dataset Structuring

TextClassification
I prepared and structured datasets to be clear, precisely labeled, and highly usable for machine learning model input. My focus was on labeling precision, clarity, and format consistency to optimize AI performance. I supported model training by ensuring data suitability and usability. • Labeled data for clarity and machine learning compatibility • Ensured format and annotation consistency across datasets • Focused on precise label application for reliable AI training • Developed datasets with usability for supervised learning tasks

I prepared and structured datasets to be clear, precisely labeled, and highly usable for machine learning model input. My focus was on labeling precision, clarity, and format consistency to optimize AI performance. I supported model training by ensuring data suitability and usability. • Labeled data for clarity and machine learning compatibility • Ensured format and annotation consistency across datasets • Focused on precise label application for reliable AI training • Developed datasets with usability for supervised learning tasks

2023 - Present

Dataset Cleaning & Validation

TextClassification
I processed raw datasets by cleaning and validating for AI and ML model readiness. This included removing inconsistencies and standardizing formats to ensure logical correctness in both numerical and text-based data. My work focused on preparing reliable and high-quality data suitable for model training. • Removed duplicates and formatted text/numeric data for training • Validated data integrity according to project standards • Standardized and organized datasets for downstream AI tasks • Ensured quality control in data preprocessing workflows

I processed raw datasets by cleaning and validating for AI and ML model readiness. This included removing inconsistencies and standardizing formats to ensure logical correctness in both numerical and text-based data. My work focused on preparing reliable and high-quality data suitable for model training. • Removed duplicates and formatted text/numeric data for training • Validated data integrity according to project standards • Standardized and organized datasets for downstream AI tasks • Ensured quality control in data preprocessing workflows

2023 - Present

AI Data Annotation Practice (Self-Driven Projects)

TextClassification
I labeled and categorized datasets for Computer Science and Mathematics problems for AI training purposes. My work included applying consistent tagging rules and reviewing data to ensure precise and accurate labeling. This experience was self-driven and aimed at simulating real-world annotation workflows with strict guideline adherence. • Carried out text classification and tagging using clear annotation guidelines • Validated and corrected mislabeled samples to improve dataset quality • Maintained uniformity in labeling large data batches • Simulated AI-centric annotation and evaluation workflows

I labeled and categorized datasets for Computer Science and Mathematics problems for AI training purposes. My work included applying consistent tagging rules and reviewing data to ensure precise and accurate labeling. This experience was self-driven and aimed at simulating real-world annotation workflows with strict guideline adherence. • Carried out text classification and tagging using clear annotation guidelines • Validated and corrected mislabeled samples to improve dataset quality • Maintained uniformity in labeling large data batches • Simulated AI-centric annotation and evaluation workflows

2023 - Present

Task-Based Data Handling (Academic & Personal Projects)

TextClassification
I organized and managed structured datasets for system development projects, focusing on validation and data integrity. My efforts ensured accurate data storage, retrieval, and readiness for use in AI-supporting systems. This experience involved applying validation rules and database management for labeled data. • Validated structured data entries for system development • Ensured accurate storage and retrieval in relational databases • Applied data integrity rules to maintain dataset reliability • Supported data readiness for machine learning applications

I organized and managed structured datasets for system development projects, focusing on validation and data integrity. My efforts ensured accurate data storage, retrieval, and readiness for use in AI-supporting systems. This experience involved applying validation rules and database management for labeled data. • Validated structured data entries for system development • Ensured accurate storage and retrieval in relational databases • Applied data integrity rules to maintain dataset reliability • Supported data readiness for machine learning applications

2022 - Present

AI Data Labeling Specialist

VideoSegmentation
I performed AI data labeling involving evaluation and annotation of text data for machine learning purposes. Tasks included following precise annotation guidelines to ensure quality and accuracy in labeled datasets and addressing dataset quality control in large-scale annotation projects. My work focused on linguistic evaluation, bias identification, and labeling of sentiment, intent, and errors in AI responses. • Evaluated and annotated AI-generated text outputs. • Applied sentiment and intent labels to textual data. • Identified and documented quality issues or hallucinations in AI responses. • Ensured adherence to dataset standards for machine learning training.

I performed AI data labeling involving evaluation and annotation of text data for machine learning purposes. Tasks included following precise annotation guidelines to ensure quality and accuracy in labeled datasets and addressing dataset quality control in large-scale annotation projects. My work focused on linguistic evaluation, bias identification, and labeling of sentiment, intent, and errors in AI responses. • Evaluated and annotated AI-generated text outputs. • Applied sentiment and intent labels to textual data. • Identified and documented quality issues or hallucinations in AI responses. • Ensured adherence to dataset standards for machine learning training.

2024 - 2024

Education

M

Meru University of Science and Technology

Bachelor of Science, Mathematics and Computer Science

Bachelor of Science
2024

Work History

S

Safaricom

Junior Developer

kitui
2025 - 2025