Esther N.

Key Skills

Software

Anno-Mage

Label Studio

Roboflow

Sama

Scale AI

Telus

Tagtog

OpenCV AI Kit (OAK)

Playment

Snorkel AI

Other

Top Subject Matter

Code Generation

Stem Domain Expertise

Medical Advice

Top Data Types

Text

Document

Geospatial Tiled Imagery

Image

Top Task Types

Segmentation

Classification

Point/Key Point

Entity (NER) Classification

RLHF

Data Collection

Computer Programming/Coding

Function Calling

Evaluation/Rating

Transcription

Red Teaming

Fine-tuning

Text Summarization

Text Generation

Object Detection

Cuboid

Question Answering

Freelancer Overview

I am a Software Engineer and Data Scientist with a solid background in high-precision AI training. My experience ranges from computer vision labeling at Sama to ranking complex code for RLHF. I focus on expert-level data, specifically debugging Python and SQL outputs or structuring specialized medical records for model fine-tuning. What really sets me apart is my trilingual fluency in English, Swahili, and Maasai. This allows me to create high-quality datasets for low-resource languages that most models struggle with. I also bring a developer's mindset to the process by building my own tools, like my open-source library datacleanx, to ensure every dataset is technically accurate and culturally grounded.

Labeling Experience

Expert AI Training Contributor (Freelance/Contract)

OtherRLHF

As an Expert AI Training Contributor, I contributed to RLHF-based evaluation and rating of AI-generated code for complexity, security, and best practices. I developed translation datasets and engineered adversarial prompts for medical and cultural context evaluation in LLMs. I worked on English, Swahili, and Maasai localization projects for cutting-edge AI. • Ranked and improved 500+ AI-generated Python and SQL code snippets for accuracy and compliance. • Created 'Gold Standard' translation datasets for multilingual LLM research. • Developed prompt engineering and 'Red Teaming' tasks targeting medical and cultural safety challenges. • Evaluated outputs in technical, ethical, and regional contexts to ensure model alignment.

2024 - Present

Data Labeling & QA Specialist

SamaImageSegmentation

As a Data Labeling & QA Specialist at Sama, I labeled large-scale visual datasets for computer vision and autonomous vehicle projects. My work included high-density segmentation for video, image, and Lidar data. I performed error analysis to improve labeling accuracy and machine learning feedback loops. • Labeled images and video frames with detailed segmentation for object detection models. • Performed quality assurance and root-cause analysis on labeled datasets. • Collaborated with ML teams to enhance model training based on feedback. • Ensured that annotation standards and client requirements were consistently met.

2024 - 2024

Education

Work History