Nelly G.

Key Skills

Software

Don't disclose

Top Subject Matter

AI Data Annotation & Data Labeling

Research & Data Analysis

Administrative Support & Virtual Assistance

Top Data Types

Document

Text

Image

Top Task Types

Question Answering

Object Detection

Transcription

Classification

Data Collection

Text Summarization

Freelancer Overview

AI Data Labelling Specialist (Freelance, Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Diploma in International Relations and Diplomacy, Technical University of Kenya (2025) and Virtual Assistant and Data Analysis, Faith Tech Institution (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Data Labelling Specialist (Freelance, Remote)

Don't discloseText

Labeled text, image, and audio datasets according to detailed annotation guidelines to support machine learning model development. Classified and categorized data for natural language processing (NLP) and computer vision projects, including entity, sentiment, and intent annotation. Performed quality assurance (QA) checks, reviewed AI-generated responses for relevance, accuracy, safety, and instruction adherence, and corrected inconsistencies to improve dataset quality. • Annotated entities, sentiments, and intent within text data. • Reviewed AI-generated responses for relevance, accuracy, safety, and instruction adherence. • Identified and corrected labeling inconsistencies and documented edge cases. • Maintained high accuracy while meeting productivity and turnaround targets.

2025 - Present

AI Data Labeling Specialist Freelance | Remote January 2025 – Present Key Responsibilities Labeled text, image, and au

AI Data Labeling Specialist Freelance | Remote January 2025 – Present Key Responsibilities Labeled text, image, and audio datasets according to detailed annotation guidelines to support machine learning model development. Classified and categorized data for natural language processing (NLP) and computer vision projects. Reviewed AI-generated responses for relevance, accuracy, safety, and instruction adherence. Identified and corrected labeling inconsistencies to improve dataset quality. Annotated entities, sentiments, and intent within text data. Performed quality assurance (QA) checks on completed annotation tasks. Maintained high accuracy while meeting productivity and turnaround targets. Collaborated with project guidelines and incorporated feedback to ensure consistent annotation quality. Documented edge cases and reported ambiguous data for review. Key Achievements Consistently maintained annotation accuracy above 98%. Completed high-volume labeling tasks while meeting project deadlines. Contributed to the creation of high-quality datasets used for training and evaluating AI models. Skills Used Data Annotation Data Labeling AI Response Evaluation Quality Assurance Natural Language Processing (NLP) Attention to Detail Data Classification Microsoft Excel Google Sheets ChatGPT Google Gemini

Not specified

Education

Work History