Collins O.

Key Skills

Software

Appen

Telus

Don't disclose

Remotasks

Top Subject Matter

Computer vision (image annotation) and dataset quality assurance

Natural language processing (NLP) annotation for classification/NER

Multi-modal AI training data annotation and QA calibration

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Text Summarization

Text Generation

Data Collection

Freelancer Overview

Data Labeling Specialist (Remote) | Appen / Telus International. Core strengths include Appen, Telus, and Don't disclose. Education includes Bachelor of Science, University of Nigeria, Nsukka (2022). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Entity (NER), and Evaluation.

Labeling Experience

Data Labeling Specialist (Remote) | Appen / Telus International

Don't discloseText

Data labeling work for NLP projects including text classification and entity recognition tasks for language model related datasets. The specialist processes high volumes of documents while maintaining consistent labeling standards and quality. Ongoing collaboration focuses on refining annotation guidelines to reduce disagreement across labelers. • Performed text classification and named entity recognition (NER). • Processed 500+ documents daily with consistent quality. • Reduced inter-annotator disagreement by 30% through guideline collaboration. • Supported quality improvements by identifying inconsistencies affecting annotation outcomes.

2024 - Present

Data Labeling Specialist (Remote) | Appen / Telus International

AppenImageBounding Box

Data Labeling Specialist annotating computer vision datasets for machine learning model training and improvement. Responsibilities include applying bounding boxes and related visual annotations to ensure label quality and consistency. The role also involves proactive identification of dataset issues such as inconsistencies and bias. • Annotated 10,000+ images with bounding boxes. • Achieved 99.2% accuracy rate for computer vision annotations. • Flagged data inconsistencies and bias issues to improve dataset quality by 25%. • Maintained a 98% on-time delivery rate while completing 100+ hours weekly.

2024 - Present

AI Training Data Annotator (Remote) | Remotasks / Outlier

RemotasksTextText Summarization

Annotated data for language model tasks including sentiment analysis and text summarization to support model training and refinement. The work required producing labels aligned with dataset guidelines and improving outputs through iterative feedback. Quality metrics were tracked to ensure high labeling accuracy for large batches of samples. • Conducted sentiment analysis tasks. • Performed text summarization for language models. • Delivered corrective feedback on AI-generated content. • Scored 99.5% quality across 5,000+ annotated samples.

2023 - 2023

AI Training Data Annotator (Remote) | Remotasks / Outlier

RemotasksAudio

AI training data annotation role supporting multi-modal dataset labeling for language and AI model refinement. Work included preparing labeled examples and providing corrective feedback on AI-generated outputs. Quality assurance activities and guideline calibration were used to maintain consistent annotation performance. • Labeled audio, video, text, and images for AI model training. • Provided corrective feedback on AI-generated content. • Achieved a 99.5% quality score across 5,000+ annotated samples. • Participated in quality assurance reviews and guideline calibration sessions.

2023 - 2023

Education

Work History