Geosque

Key Skills

Software

Labelbox

Appen

iMerit

Top Subject Matter

Nlp Domain Expertise

Computer Vision

Multimodal AI

Top Data Types

Image

Audio

Top Task Types

Classification

Segmentation

Transcription

Freelancer Overview

Senior Data Annotation Specialist | ScaleOps AI Solutions. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Appen, and iMerit. Education includes Bachelor of Science, University of Nairobi (2019). AI-training focus includes data types such as Image and Audio and labeling workflows including Classification, Segmentation, and Transcription.

Labeling Experience

Senior Data Annotation Specialist | ScaleOps AI Solutions

LabelboxImageClassification

As Senior Data Annotation Specialist at ScaleOps AI Solutions, I annotated and validated over 120,000+ multimodal data points to support machine learning workflows. I focused on reducing annotation inconsistencies through quality assurance processes and applied NLP techniques such as Named Entity Recognition (NER) and classification. My refinements improved model performance, and I provided mentorship to junior annotators. • Processed text and image data with 99% annotation accuracy • Developed and refined new annotation schemas for enhanced model outcomes • Implemented robust QA processes to maintain dataset consistency • Mentored and trained junior staff to increase team output

As Senior Data Annotation Specialist at ScaleOps AI Solutions, I annotated and validated over 120,000+ multimodal data points to support machine learning workflows. I focused on reducing annotation inconsistencies through quality assurance processes and applied NLP techniques such as Named Entity Recognition (NER) and classification. My refinements improved model performance, and I provided mentorship to junior annotators. • Processed text and image data with 99% annotation accuracy • Developed and refined new annotation schemas for enhanced model outcomes • Implemented robust QA processes to maintain dataset consistency • Mentored and trained junior staff to increase team output

2023 - Present

Data Annotation Analyst | Appen Global

AppenImageSegmentation

As a Data Annotation Analyst at Appen Global, I labeled over 80,000 data samples and conducted segmentation and image annotation tasks with 98%+ accuracy. My role included supporting RLHF workflows for large language model (LLM) training and conducting audits to minimize errors. These experiences solidified my expertise in both computer vision and NLP dataset creation. • Oversaw high-volume, high-accuracy image and text annotation projects • Conducted regular quality control audits to reduce annotation errors • Supported reinforcement learning from human feedback (RLHF) workflows • Improved data annotation protocols for enhanced accuracy

As a Data Annotation Analyst at Appen Global, I labeled over 80,000 data samples and conducted segmentation and image annotation tasks with 98%+ accuracy. My role included supporting RLHF workflows for large language model (LLM) training and conducting audits to minimize errors. These experiences solidified my expertise in both computer vision and NLP dataset creation. • Oversaw high-volume, high-accuracy image and text annotation projects • Conducted regular quality control audits to reduce annotation errors • Supported reinforcement learning from human feedback (RLHF) workflows • Improved data annotation protocols for enhanced accuracy

2021 - 2022

Junior Data Labeling Specialist | iMerit Technology Services

ImeritAudioTranscription

At iMerit Technology Services as Junior Data Labeling Specialist, I annotated and transcribed over 50,000 audio data points and handled extensive audio labeling. I maintained Inter-Annotator Agreement scores above 95%, and also contributed to dataset cleaning and preprocessing. My work ensured high-quality, production-ready audio datasets for training AI models. • Performed detailed audio transcription and speaker diarization • Participated in data cleaning and preprocessing for improved quality • Focused on maximizing data label accuracy through careful QA • Supported cross-functional teams in audio data processing

At iMerit Technology Services as Junior Data Labeling Specialist, I annotated and transcribed over 50,000 audio data points and handled extensive audio labeling. I maintained Inter-Annotator Agreement scores above 95%, and also contributed to dataset cleaning and preprocessing. My work ensured high-quality, production-ready audio datasets for training AI models. • Performed detailed audio transcription and speaker diarization • Participated in data cleaning and preprocessing for improved quality • Focused on maximizing data label accuracy through careful QA • Supported cross-functional teams in audio data processing

2020 - 2021

Education

Work History