Cynthia I.

Key Skills

Software

Other

Appen

Mercor

Google Cloud Vertex AI

Top Subject Matter

NLP and intent/entity tagging for AI model training

Computer vision annotation for AI model training

Quality Assurance

Top Data Types

Text

Image

Top Task Types

Segmentation

Classification

Question Answering

Text Generation

Text Summarization

Fine-tuning

Transcription

Evaluation/Rating

Computer Programming/Coding

Data Collection

Function Calling

Freelancer Overview

AI Data Labeler & Annotator (Atlas Capture / Crowdgen / AI Annotator). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Abia State University and N/A, LearnFactory Nigeria. AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification and Bounding Box.

Labeling Experience

AI Data Labeler & Annotator (Atlas Capture / Crowdgen / AI Annotator)

OtherImageBounding Box

Annotated image data for AI training by creating accurate bounding box labels aligned to guidelines. Maintained consistency across annotators by following task specifications and standards. Completed quality assurance checks to identify and correct annotation issues for clean datasets.• Labeled image bounding boxes with attention to annotation quality.• Applied guidelines to achieve strong agreement across the dataset.• Performed quality reviews and error corrections to ensure usability.• Coordinated with remote teams using platform workflows and turnaround targets.

2020 - Present

AI Data Labeler & Annotator (Atlas Capture / Crowdgen / AI Annotator)

OtherTextEntity (NER) Classification

Labeled NLP data across multiple AI annotation platforms to produce consistent training examples. Applied annotation standards to maintain high inter-annotator agreement for AI model training. Conducted quality review to correct labeling errors and improve dataset cleanliness.• Covered entity tagging for NLP entities and intent-related annotations.• Tagged diverse text data using clear guidelines and labeling conventions.• Performed corrections during QA cycles to reduce inconsistencies.• Followed platform-specific workflows for accurate task completion.

2020 - Present

Education

Work History