Wambura M.

Key Skills

Software

Clickworker

Labelbox

Mindrift

Top Subject Matter

AI data annotation and quality evaluation for machine learning training.

AI training and evaluation workflows for improving model performance.

Top Data Types

Text

Image

Audio

Top Task Types

Bounding Box

Text Generation

Transcription

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Text Summarization

Question Answering

Object Detection

Classification

Segmentation

Polygon

Cuboid

Freelancer Overview

Data Annotator, DataAnnotation.Tech (Remote). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include DataAnnotation.Tech and Remotask. Education includes Bachelor of Science in Nursing, Egerton University (2024) and High School Diploma, Matare High School (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotator, DataAnnotation.Tech (Remote)

Text

Worked as a Data Annotator to annotate and label diverse datasets and improve overall data accuracy. Followed strict quality control to ensure reliable results across varied labeling tasks. Contributed to better AI model performance by identifying patterns in annotated data and reducing downstream model errors.• Annotated and labeled various data sets to enhance accuracy. • Applied quality control measures for consistent labeling reliability. • Supported AI model improvements through pattern recognition in labeled data. • Reviewed peer annotations and provided constructive feedback for continuous improvement.

2023 - 2024

AI Trainer, Remotask (Remote)

Text

Served as an AI Trainer by monitoring and reporting AI progress and identifying needs for additional training. Evaluated training effectiveness by tracking AI improvements and gathering feedback for continuous iteration. Supervised participant workflows and delivered instructional sessions focused on operational efficiency and safety.• Monitored AI progress and implemented learning tools to address training needs. • Analyzed AI performance and identified opportunities for further training. • Evaluated training initiatives via progress tracking and participant feedback. • Monitored participant workflows and behaviors during training.

2017 - 2020

Education

Work History