Leonard Otieno

Key Skills

Software

CloudFactory

Labelbox

Mercor

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Geospatial Tiled Imagery

Image

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Cuboid

Data Collection

Emotion Recognition

Evaluation Rating

Polygon

Polyline

Segmentation

Freelancer Overview

I am a detail-oriented Data Labeling Specialist with hands-on experience in text, image, and audio annotation for AI training data projects. My background in healthcare administration and real estate has given me a strong foundation in data categorization, quality control, and meticulous documentation, ensuring high accuracy and consistency across large datasets. I am skilled with tools like Labelbox, Supervisely, and Scale AI, and proficient in productivity platforms such as Google Workspace and Microsoft Office. Through self-directed projects, I have simulated data labeling workflows for e-commerce and completed specialized training in image segmentation, text classification, and audio transcription, consistently achieving high accuracy rates. I am committed to following project guidelines, maintaining data integrity, and supporting the development of reliable AI models. My adaptability, strong communication skills, and dedication to quality make me an asset to any data annotation or AI training data team.

Labeling Experience

Data Annotator

Scale AIImageBounding BoxPolygon

Scope of Work: Contributed to large-scale AI training initiatives by completing structured microtasks that generate high-quality training data for machine learning models. Work involved supporting computer vision and natural language processing systems through precise human input and feedback . Projects Performed: Executed image annotation and labeling tasks, including object identification, boundary outlining, and visual data tagging for computer vision model training Performed text-based tasks such as content categorization, intent classification, and data cleaning to improve language model understanding Conducted quality assurance reviews on completed tasks, verifying outputs against project checklists and instructions Participated in prompt engineering projects, writing and evaluating challenging prompts designed to test and improve large language model reasoning capabilities Quality Measures Adhered To: Maintained strict adherence to detailed project guidelines & rubric

Scope of Work: Contributed to large-scale AI training initiatives by completing structured microtasks that generate high-quality training data for machine learning models. Work involved supporting computer vision and natural language processing systems through precise human input and feedback . Projects Performed: Executed image annotation and labeling tasks, including object identification, boundary outlining, and visual data tagging for computer vision model training Performed text-based tasks such as content categorization, intent classification, and data cleaning to improve language model understanding Conducted quality assurance reviews on completed tasks, verifying outputs against project checklists and instructions Participated in prompt engineering projects, writing and evaluating challenging prompts designed to test and improve large language model reasoning capabilities Quality Measures Adhered To: Maintained strict adherence to detailed project guidelines & rubric

2023 - 2024

Education

Work History