Taiwo J.

Key Skills

Software

Remotasks

Scale AI

CVAT

Appen

Other

Top Subject Matter

NLP/NLU for AI training (sentiment, intent, NER, coreference)

Computer vision dataset annotation for autonomous systems

Voice assistant training datasets (speech/audio labeling)

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity (NER) Classification

Polygon

Transcription

Classification

Freelancer Overview

With over two years of experience in NLP data annotation, I have specialized in evaluating AI-generated responses through RLHF methodologies and performing high-quality image annotation, including bounding boxes and segmentation masks. I have contributed to large-scale projects on platforms such as Remotasks and Appen, consistently maintaining accuracy rates above 97% while processing over 50,000 samples monthly. I am certified in data quality and annotation best practices, with a strong focus on precision, efficiency, and adherence to project guidelines. I thrive in fast-paced, remote environments and bring a detail-oriented approach to every task I undertake.

Labeling Experience

AI Data Labeling Specialist (Computer Vision Annotation)

CVATImagePolygon

Labeled computer vision datasets for autonomous systems using bounding boxes, polygons, and semantic segmentation masks. Produced high-quality annotations to support object detection and segmentation model training. Participated in quality assurance workflows by reviewing and auditing work submitted by other labelers. • Created precise geometric annotations (bounding boxes and polygons) for vision tasks • Generated segmentation masks for semantic segmentation dataset preparation • Reviewed ambiguous or edge-case samples and coordinated with leads for consistent labeling • Maintained target project accuracy through structured QC and adherence to guidelines

2023 - Present

AI Data Labeling Specialist (Contract)

RemotasksTextEntity (NER) Classification

Annotated over 50,000 text samples monthly for NLP model training, including named entity recognition, sentiment classification, coreference resolution, and intent labeling. Ensured annotations followed detailed, multi-project guidelines while adapting to evolving labeling schemas and edge case documentation. Maintained accuracy benchmarks well above industry standards through consistent quality checks and guideline compliance. • RLHF response rating and ranking based on helpfulness, accuracy, and safety alignment • Flagged ambiguous cases and supported resolution with team leads to improve inter-annotator consistency • Collaborated with PMs and QA reviewers via Slack and Zoom to align on labeling standards • Audited reviewer work to sustain project-wide accuracy rates above 97%

2023 - Present

Data Annotation Contributor (Conversational & Relevance Labeling)

TextClassification

Labeled conversational and contextual datasets to train chatbot models, focusing on dialogue turns, topic shifts, and speaker intent. Evaluated search relevance and ad quality by rating the contextual alignment of web content against user queries for global clients. Maintained a personal accuracy score of 95%+ while meeting daily throughput targets. • Annotated dialogue structure including speaker intent and topic transitions • Rated relevance and contextual alignment for search/ad quality evaluation • Ensured consistent labeling quality across assigned tasks • Met or exceeded daily throughput targets with high accuracy

2022 - 2023

Data Annotation Contributor (Freelance)

AppenAudioTranscription

Completed audio transcription and speech labeling for voice assistant training datasets. Captured tone, dialect, and intent markers accurately for downstream model training. Applied content policy guidelines while processing sensitive material under confidentiality agreements. • Transcribed and labeled conversational audio segments for speech-related tasks • Identified tone, dialect, and intent markers within audio content • Flagged harmful, misleading, or policy-violating content per guidelines • Managed accuracy and throughput targets across thousands of assigned samples

2022 - 2023

Education

Work History