Shadrack Mulili

Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdFlower

Data Annotation Tech

Deep Systems

Encord

LightTag

OpenCV AI Kit (OAK)

Scale AI

Snorkel AI

Surge AI

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Top Label Types

Action Recognition

Audio Recording

Classification

Computer Programming Coding

Evaluation Rating

Freelancer Overview

I am a detail-oriented data annotator and AI trainer with hands-on experience labeling large-scale text and image datasets for machine learning and NLP applications. I have worked extensively on training and evaluating large language models (LLMs), performing high-quality data annotation tasks such as classification, summarization, and sentiment analysis, and providing structured feedback to improve model accuracy. My background in software engineering, with advanced Python skills and experience in SQL, Java, and JavaScript, allows me to approach annotation projects with a deep understanding of data structures and quality assurance. I am proficient with annotation tools, ATS platforms, and version control systems like Git, and have consistently delivered high-quality results while working remotely on platforms such as Upwork, Outlier AI, and Prolific. My commitment to accuracy, analytical thinking, and clear communication ensures that I consistently meet strict quality guidelines and support the development of reliable AI systems.

Labeling Experience

Research Participant & AI Task Contributor (Freelance – Remote)

Data Annotation TechTextEvaluation Rating

As a Research Participant and AI Task Contributor via Prolific, I completed research-based annotation and evaluation assignments. My work included detail-oriented review of both image and text datasets in alignment with strict instructions. I provided crucial feedback to support AI model training and dataset validation efforts. • Reviewed and annotated text and images for model research. • Supplied structured feedback for repeated dataset validation. • Ensured accuracy and consistency across multiple research tasks. • Fulfilled assignments with adherence to detailed task protocols.

As a Research Participant and AI Task Contributor via Prolific, I completed research-based annotation and evaluation assignments. My work included detail-oriented review of both image and text datasets in alignment with strict instructions. I provided crucial feedback to support AI model training and dataset validation efforts. • Reviewed and annotated text and images for model research. • Supplied structured feedback for repeated dataset validation. • Ensured accuracy and consistency across multiple research tasks. • Fulfilled assignments with adherence to detailed task protocols.

2025 - 2025

AI Trainer / Data Annotator

TolokaTextEvaluation Rating

As an AI Trainer and Data Annotator at Outlier AI, I evaluated AI-generated textual responses for accuracy and logical consistency. I verified question-answer dataset labels, corrected errors, and ensured high-quality responses. Adhering to structured guidelines, I maintained rigorous quality standards and clear reasoning for flagged items. • Reviewed and corrected question-answer pairs for clarity and grammar. • Flagged ambiguous content with concise notes under strict performance targets. • Ensured standalone, high-quality responses across large text datasets. • Maintained accuracy within time-based metrics and evaluation protocols. using label AI studio

As an AI Trainer and Data Annotator at Outlier AI, I evaluated AI-generated textual responses for accuracy and logical consistency. I verified question-answer dataset labels, corrected errors, and ensured high-quality responses. Adhering to structured guidelines, I maintained rigorous quality standards and clear reasoning for flagged items. • Reviewed and corrected question-answer pairs for clarity and grammar. • Flagged ambiguous content with concise notes under strict performance targets. • Ensured standalone, high-quality responses across large text datasets. • Maintained accuracy within time-based metrics and evaluation protocols. using label AI studio

2025 - 2025

AI Data Annotation & Model Training (Project)

AppenImageClassification

As part of the AI Data Annotation & Model Training project, I annotated and validated large image and text datasets for AI models. My efforts improved model response accuracy via structured feedback. I ensured datasets were both comprehensive and high-quality for training purposes. • Labeled images and text for AI and ML tasks. • Validated annotated data against preset guidelines. • Contributed structured feedback for model training improvement. • Ensured high accuracy in dataset preparation and annotation.

As part of the AI Data Annotation & Model Training project, I annotated and validated large image and text datasets for AI models. My efforts improved model response accuracy via structured feedback. I ensured datasets were both comprehensive and high-quality for training purposes. • Labeled images and text for AI and ML tasks. • Validated annotated data against preset guidelines. • Contributed structured feedback for model training improvement. • Ensured high accuracy in dataset preparation and annotation.

2023 - 2025

AI Trainer / Data Annotator (Freelance – Remote)

Scale AITextEvaluation Rating

In freelance remote roles through Upwork and AI Training Platforms, I performed LLM evaluation, NLP annotation, and prompt-based text review. This included classification, summarization, and sentiment analysis for large datasets. I adhered strictly to quality guidelines, ensuring consistency and high acceptance rates for diverse client projects. • Trained and evaluated LLMs for reasoning and following instructions. • Performed annotation for text classification, summarization, and sentiment. • Conducted prompt engineering and feedback for AI model training. • Maintained project acceptance and quality scores through detailed reviews.

In freelance remote roles through Upwork and AI Training Platforms, I performed LLM evaluation, NLP annotation, and prompt-based text review. This included classification, summarization, and sentiment analysis for large datasets. I adhered strictly to quality guidelines, ensuring consistency and high acceptance rates for diverse client projects. • Trained and evaluated LLMs for reasoning and following instructions. • Performed annotation for text classification, summarization, and sentiment. • Conducted prompt engineering and feedback for AI model training. • Maintained project acceptance and quality scores through detailed reviews.

2023 - 2025

Education

Work History