Sylvester Omondi

Key Skills

Software

Scale AI

Data Annotation Tech

Remotasks

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Text

Top Label Types

Fine Tuning

Evaluation Rating

Freelancer Overview

I am an AI Engineer and Software Developer with over four years of experience specializing in data science scripting, data annotation, and AI model evaluation. My expertise includes Python, R, and SQL, and I have hands-on experience developing robust ETL pipelines, cleaning raw datasets, and preparing high-quality training data for machine learning models. I have authored over 50 pages of technical tutorials and documentation, supported by strong skills in prompt engineering and code quality assurance. My background covers building backend logic for automation systems, designing secure database schemas, and integrating APIs, all of which required precise data handling and annotation. I am passionate about leveraging my technical and analytical skills to improve the quality and accuracy of AI training data, and I am adept at using tools like Jupyter Notebooks, Git/GitHub, and Docker in both remote and collaborative environments.

Labeling Experience

AI Trainer / Code Specialist

Scale AIComputer Code ProgrammingFine Tuning

As an AI Trainer / Code Specialist at Outlier.ai, I evaluated and rewrote complex code snippets and rationales for LLM improvement. My work focused on Python and JavaScript, ensuring the model produced accurate and secure code. I also performed quality assurance as a reviewer to audit and improve training data. • Conducted Supervised Fine-Tuning (SFT) and constraint-based code evaluation. • Authored detailed rationales addressing logic, syntax, and user intent. • Used rigorous tests to validate model responses to complex coding prompts. • Provided feedback and peer review to enhance data quality.

As an AI Trainer / Code Specialist at Outlier.ai, I evaluated and rewrote complex code snippets and rationales for LLM improvement. My work focused on Python and JavaScript, ensuring the model produced accurate and secure code. I also performed quality assurance as a reviewer to audit and improve training data. • Conducted Supervised Fine-Tuning (SFT) and constraint-based code evaluation. • Authored detailed rationales addressing logic, syntax, and user intent. • Used rigorous tests to validate model responses to complex coding prompts. • Provided feedback and peer review to enhance data quality.

2025 - 2025

Data Annotation Specialist (Coding & Core)

Data Annotation TechTextEvaluation Rating

As a Data Annotation Specialist at DataAnnotation.tech, I reviewed and annotated long-context conversations and prompts for language models. My focus was on multi-turn reasoning, prompt engineering, and adversarial red teaming. The goal was to ensure factual accuracy, consistency, and filter safety. • Labeled and evaluated conversation logic and user intent retention. • Authored 'Golden Prompts' for edge case and creative task assessment. • Performed fact-checking of model output against reliable sources. • Conducted adversarial testing to ensure refusal of unsafe requests.

As a Data Annotation Specialist at DataAnnotation.tech, I reviewed and annotated long-context conversations and prompts for language models. My focus was on multi-turn reasoning, prompt engineering, and adversarial red teaming. The goal was to ensure factual accuracy, consistency, and filter safety. • Labeled and evaluated conversation logic and user intent retention. • Authored 'Golden Prompts' for edge case and creative task assessment. • Performed fact-checking of model output against reliable sources. • Conducted adversarial testing to ensure refusal of unsafe requests.

2024 - 2025

AI Model Trainer (Tier 3)

RemotasksTextEvaluation Rating

As an AI Model Trainer at Remotasks, I ranked LLM output for helpfulness, honesty, and harmlessness. I performed technical editing on AI-generated code comments and documentation. My focus was to produce high-quality evaluation data for language model training. • Conducted comparative ranking of model responses. • Reviewed and clarified technical documentation and code outputs. • Maintained high speed and accuracy to meet project benchmarks. • Consistently achieved high quality ratings based on output reviews.

As an AI Model Trainer at Remotasks, I ranked LLM output for helpfulness, honesty, and harmlessness. I performed technical editing on AI-generated code comments and documentation. My focus was to produce high-quality evaluation data for language model training. • Conducted comparative ranking of model responses. • Reviewed and clarified technical documentation and code outputs. • Maintained high speed and accuracy to meet project benchmarks. • Consistently achieved high quality ratings based on output reviews.

2024 - 2024

Education

Work History