Tracy Ochieng

Key Skills

Software

AWS SageMaker

Appen

Clickworker

CloudFactory

Top Subject Matter

Retail Customer Feedback Analysis

LLM evaluation in French

Healthcare Imaging

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Computer Programming Coding

Prompt Response Writing SFT

Question Answering

Translation Localization

Freelancer Overview

In my experience with data labeling and AI training data, I've developed a deep understanding of the meticulous processes involved in preparing high-quality datasets for machine learning models. I excel in tasks such as image annotation, text classification, and data categorization, ensuring accuracy and consistency to meet specific project requirements. My skills include proficiency in various annotation tools and platforms, along with a keen eye for detail and a systematic approach to handling large volumes of data. I've been involved in projects ranging from training object detection models for autonomous vehicles to sentiment analysis in natural language processing applications. My ability to adapt to different labeling guidelines and domain-specific requirements has been instrumental in delivering datasets that enhance model performance and reliability. Moreover, my experience in quality assurance and data validation ensures that annotated datasets are not only accurate but also robust enough to handle real-world challenges. These skills and qualifications enable me to contribute effectively to AI projects by providing meticulously labeled data that forms the foundation for successful machine learning implementations.

Labeling Experience

Image Annotation Specialist

AppenImageBounding Box

Annotation of objects such as cars, pedestrians, traffic signs, and lane markings in urban and highway scenes for training autonomous vehicle perception models. Ensured high accuracy and consistency in annotations to support the development of advanced driver-assistance systems (ADAS).

Annotation of objects such as cars, pedestrians, traffic signs, and lane markings in urban and highway scenes for training autonomous vehicle perception models. Ensured high accuracy and consistency in annotations to support the development of advanced driver-assistance systems (ADAS).

2021 - 2023

Education

Work History