Timoty Nyabuto Okari

Key Skills

Software

Labelbox

Appen

Top Subject Matter

General Machine Learning Datasets (Visual and NLP)

Academic Research (Language & Literature)

Top Data Types

Image

Text

Top Task Types

Bounding Box

Classification

Entity (NER) Classification

Freelancer Overview

Freelance Data Annotator & Image Labeler. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Labelbox, and NVivo. Education includes Master of Arts, Texas A&M University (2023). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Bounding Box, and Classification.

Labeling Experience

Freelance Data Annotator & Image Labeler

LabelboxImageBounding Box

During my freelance data annotation roles, I was responsible for performing image-based labeling and segmentation tasks. I utilized annotation software to create bounding boxes, polygons, and object tags for computer vision datasets. I ensured output quality by self-review and adherence to guidelines while supporting speech and scene recognition projects through video and audio transcription. • Implemented bounding box annotation and polygon segmentation using CVAT and Labelbox. • Classified and tagged objects for machine learning model training. • Maintained annotation standards exceeding 98% accuracy. • Transcribed and categorized time-stamped audio and video content.

2023 - Present

Freelance Data Annotator & Image Labeler

AppenTextEntity (NER) Classification

As a freelance data annotator and image labeler, I performed large-scale annotation and classification of diverse datasets for machine learning projects. I applied consistent labeling practices across text, image, and audio/video data to support model training and improvement. I maintained high levels of accuracy and collaborated with project managers to ensure daily data targets were met. • Annotated text datasets for sentiment analysis, named entity recognition (NER), and intent classification. • Applied linguistic expertise to disambiguate context-dependent labels in NLP tasks. • Conducted quality assurance reviews and provided feedback on peer annotations. • Used tools such as Appen, Labelbox, Scale AI, and CVAT for annotation workflows.

2023 - Present

Research Data Coder & Content Analyst

TextClassification

As a research data coder and content analyst, I coded qualitative research data including interviews, surveys, and literary texts for thematic analysis. I developed and implemented systematic coding frameworks, maintaining codebooks to ensure consistency and replicability in labeling tasks. I facilitated collaborative coding sessions and cross-validation of results with research team members. • Used NVivo and MAXQDA to code and analyze large corpora of textual data. • Ensured inter-rater reliability and consistency in coded datasets. • Documented annotation schemas for standardized application across research studies. • Prepared and cleaned data outputs for quantitative analysis using R and SPSS.

2021 - 2023

Education

Work History