Collins M.

Key Skills

Software

Scale AI

Other

SuperAnnotate

Labelbox

Label Studio

CVAT

Top Subject Matter

Natural Language Processing

AI Response Evaluation

Linguistics (English & Swahili)

Top Data Types

Text

Document

Image

Top Task Types

Entity (NER) Classification

Classification

Text Generation

Segmentation

Data Collection

Freelancer Overview

Data Labeling & AI Annotation Specialist (Freelance / Remote). Core strengths include Other. Education includes Bachelor of Science, Dedan Kimathi University of Technology (2024). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

Data Labeling & AI Annotation Specialist (Freelance / Remote)

OtherTextEntity (NER) Classification

As a Data Labeling & AI Annotation Specialist, I annotated and labeled diverse text datasets for NLP and AI training projects. My responsibilities included text classification, intent detection, and performing entity extraction using structured guidelines. I also conducted AI-generated response evaluations to ensure clarity and compliance with instructions. • Performed detailed annotation and labeling tasks to support AI and machine learning applications. • Evaluated AI-generated outputs, detected inconsistencies, and refined responses according to project standards. • Used established annotation workflows and quality control procedures for high accuracy. • Collaborated in remote environments achieving productivity and quality metrics.

2024 - Present

Content & Data Support Assistant (Remote Projects)

OtherTextClassification

As a Content & Data Support Assistant, I assisted in the preparation and organization of text datasets for use in AI and machine learning applications. My role required reviewing and correcting both AI-generated and human-written content for readability and accuracy. I contributed to multilingual projects, adapting content in English and Swahili while maintaining consistency and quality. • Supported dataset preparation and annotation processes for AI projects. • Reviewed and validated data quality through research and language accuracy checks. • Managed project documentation while adhering to annotation guidelines. • Applied content adaptation strategies for multilingual deployments.

2023 - 2024

Education

Work History