Cm M.

Key Skills

Software

Appen

CloudFactory

CrowdSource

Data Annotation Tech

Google Cloud Vertex AI

Mercor

Mindrift

OneForma

Remotasks

Top Subject Matter

NLP (customer support, social media, documents)

Computer vision (object detection/visual recognition)

AI for strategic communication and public engagement

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Object Detection

Freelancer Overview

Data Annotation Associate / Quality Analyst (Contract & Remote). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include N and A. Education includes Bachelor of Arts, Kenya Methodist University (KeMU) (2025) and Diploma, Technical University of Mombasa (TUM) (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Object Detection, and Evaluation.

Labeling Experience

Data Annotation Associate / Quality Analyst (Contract & Remote)

ImageObject Detection

Annotated image data for computer vision models used in object detection and visual recognition tasks. Produced bounding boxes and classification labels while conducting quality verification for annotation accuracy. Followed labeling guidelines and performed inter-annotator agreement checks to maintain consistency across the dataset. • Labeled images with bounding boxes • Assigned object classification labels • Verified annotation quality and correctness • Used agreement checks to reduce variability

2022 - Present

Data Annotation Associate / Quality Analyst (Contract & Remote)

TextEntity (NER) Classification

Labeled and validated unstructured text datasets for NLP workflows used in machine learning models. Performed entity recognition, intent classification, sentiment labeling, relevance scoring, and content categorization following annotation schemas and guidelines. Applied inter-annotator agreement checks to improve consistency and reduce annotation bias. • Annotated free-text user inputs and customer support conversations • Labeled social media text and document-based content • Conducted relevance scoring for NLP training • Ensured dataset consistency via guideline compliance

2022 - Present

Diploma Research Project (Safaricom PLC case study)

Text

Conducted AI-enabled communication research that involved analyzing text and engagement data to assess how AI supports stakeholder targeting and message optimization. Integrated principles from public relations and governance to interpret how analytics inform organizational decision-making. Used structured analysis of communication workflows and feedback signals relevant to AI-driven models. • Assessed AI support for customer communication workflows • Analyzed engagement data and feedback patterns • Evaluated message optimization and stakeholder targeting • Interpreted AI-driven analytics for institutional decisions

2021 - 2022

Education

Work History