Kenneth Mutwiri

Key Skills

Software

Label Studio

Google Cloud Vertex AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Top Label Types

Entity Ner Classification

Evaluation Rating

Bounding Box

Freelancer Overview

I am a detail-oriented freelancer with hands-on experience in AI data labeling, annotation, and quality assurance for training advanced language models. I have worked on projects involving text classification, structured and unstructured data annotation, prompt writing and evaluation, as well as survey-based data collection to enhance AI performance. My background includes supporting healthcare-related data tasks, where confidentiality and accuracy are critical. I am skilled in using tools like Label Studio, ChatGPT, Google Docs, and Microsoft Excel, and I am comfortable working with both English and Swahili data. I thrive in fast-paced remote environments, consistently delivering high-quality results and collaborating effectively with global teams.

Labeling Experience

Image Annotation for Object Detection

Label StudioImageBounding Box

Scope: Annotated sample traffic images with bounding boxes for objects such as Car, Pedestrian, and Traffic Light. Tasks Performed: Created bounding boxes, labeled objects, exported structured JSON dataset for AI training. Project Size: ~30 sample images. Quality Measures: Verified bounding boxes for accuracy and consistency; ensured dataset is clean for object detection models.

Scope: Annotated sample traffic images with bounding boxes for objects such as Car, Pedestrian, and Traffic Light. Tasks Performed: Created bounding boxes, labeled objects, exported structured JSON dataset for AI training. Project Size: ~30 sample images. Quality Measures: Verified bounding boxes for accuracy and consistency; ensured dataset is clean for object detection models.

2025 - 2025

ChatGPT Prompt Evaluation & QA

Google Cloud Vertex AITextEvaluation Rating

Scope: Tested AI prompts and evaluated the quality of ChatGPT-generated responses. Tasks Performed: Labeled outputs as Accurate, Partially Accurate, or Inaccurate; structured dataset for AI model QA. Project Size: ~20 prompt-response pairs. Quality Measures: Ensured labeling consistency, clarity, and proper categorization for AI improvement

Scope: Tested AI prompts and evaluated the quality of ChatGPT-generated responses. Tasks Performed: Labeled outputs as Accurate, Partially Accurate, or Inaccurate; structured dataset for AI model QA. Project Size: ~20 prompt-response pairs. Quality Measures: Ensured labeling consistency, clarity, and proper categorization for AI improvement

2025 - 2025

Social Media Sentiment Labeling for AI Training

Label StudioTextEntity Ner Classification

Scope: Labeled social media text comments as Positive, Negative, or Neutral. Tasks Performed: Text classification, dataset structuring, basic QA to ensure consistency and accuracy. Project Size: ~50 sample comments. Quality Measures: Checked for labeling consistency and correct category assignment; ensured dataset is clean and ready for AI model training.

Scope: Labeled social media text comments as Positive, Negative, or Neutral. Tasks Performed: Text classification, dataset structuring, basic QA to ensure consistency and accuracy. Project Size: ~50 sample comments. Quality Measures: Checked for labeling consistency and correct category assignment; ensured dataset is clean and ready for AI model training.

2025 - 2025

Education

Work History