Bran

Key Skills

Software

Remotasks

CloudFactory

Mercor

Micro1

OneForma

Appen

Top Subject Matter

Computer Vision (Generic, Medical, Geospatial)

Natural Language Processing (NLP)

LLM Training

Top Data Types

Image

Text

Audio

3D Sensor

Document

Top Task Types

Bounding Box

Classification

Transcription

Segmentation

Freelancer Overview

AI Data Annotation & Labelling Specialist: Image Recognition and Medical Imaging. Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Remotasks. Education includes Master of Arts, University of Nairobi, School of Journalism and Mass Communication (2023) and Bachelor of Arts, Kenyatta University (2020). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Classification, and Transcription.

Labeling Experience

AI Data Annotation & Labelling Specialist: 3D Sensor and Object Classification

Remotasks3D SensorClassification

Collaborated on 3D sensor annotation projects for smart device and autonomous navigation systems. Classified objects and events captured in 3D sensor data to train perception AI models. Ensured accuracy by cross-referencing with domain guidelines for 3D annotation tasks. • Classified objects in 3D sensor point cloud data • Used annotation techniques relevant to autonomous system perception • Participated in domain-specific model evaluation and feedback • Maintained high annotation accuracy across multiple data types

Collaborated on 3D sensor annotation projects for smart device and autonomous navigation systems. Classified objects and events captured in 3D sensor data to train perception AI models. Ensured accuracy by cross-referencing with domain guidelines for 3D annotation tasks. • Classified objects in 3D sensor point cloud data • Used annotation techniques relevant to autonomous system perception • Participated in domain-specific model evaluation and feedback • Maintained high annotation accuracy across multiple data types

2021 - 2021

AI Data Annotation & Labelling Specialist: Code Annotation and Review

Remotasks

Reviewed and annotated code snippets as part of AI/ML model quality assurance. Conducted detailed labeling, feedback, and bug identification in code datasets for software AI projects. Helped compile and curate datasets for automated code review systems. • Labeled computer code for task automation and quality review • Identified and annotated bugs or errors in programming tasks • Provided feedback cycles for code dataset improvement • Enhanced accuracy and robustness of code AI systems

Reviewed and annotated code snippets as part of AI/ML model quality assurance. Conducted detailed labeling, feedback, and bug identification in code datasets for software AI projects. Helped compile and curate datasets for automated code review systems. • Labeled computer code for task automation and quality review • Identified and annotated bugs or errors in programming tasks • Provided feedback cycles for code dataset improvement • Enhanced accuracy and robustness of code AI systems

2021 - 2021

AI Data Annotation & Labelling Specialist: Geospatial and Satellite Imagery

RemotasksSegmentation

Annotated geospatial and satellite imagery tiles for mapping and land cover classification. Applied polygon masks and bounding boxes for model development in earth observation and location analytics. Adhered to data privacy and domain-specific guidelines. • Processed tiled imagery for geospatial analysis tasks • Used segmentation and bounding to support mapping projects • Contributed to training datasets for geocoding and earth monitoring • Followed strict annotation protocols and documentation standards

Annotated geospatial and satellite imagery tiles for mapping and land cover classification. Applied polygon masks and bounding boxes for model development in earth observation and location analytics. Adhered to data privacy and domain-specific guidelines. • Processed tiled imagery for geospatial analysis tasks • Used segmentation and bounding to support mapping projects • Contributed to training datasets for geocoding and earth monitoring • Followed strict annotation protocols and documentation standards

2021 - 2021

AI Data Annotation & Labelling Specialist: Audio Tagging and Transcription

RemotasksAudioTranscription

Transcribed and annotated audio datasets for machine learning and smart device applications. Tagged audio segments and labeled events for autonomous systems and speech processing projects. Performed QA review on audio annotations submitted by junior annotators. • Tagged and transcribed audio clips for AI model training • Labeled speech and audio events for smart device use cases • Applied annotation standards and quality assurance protocols • Worked on multilingual audio transcription and tagging projects

Transcribed and annotated audio datasets for machine learning and smart device applications. Tagged audio segments and labeled events for autonomous systems and speech processing projects. Performed QA review on audio annotations submitted by junior annotators. • Tagged and transcribed audio clips for AI model training • Labeled speech and audio events for smart device use cases • Applied annotation standards and quality assurance protocols • Worked on multilingual audio transcription and tagging projects

2021 - 2021

AI Data Annotation & Labelling Specialist: NLP and RLHF

RemotasksTextClassification

Performed text classification for natural language processing projects, including entity and sentiment recognition. Contributed to reinforcement learning from human feedback (RLHF) pipelines for training large language models. Completed evaluation and QA tasks to ensure annotation quality. • Annotated and labeled text for NLP model development • Executed RLHF tasks for LLM fine-tuning • Reviewed textual data for accuracy and consistency • Participated in iterative feedback and improvement cycles

Performed text classification for natural language processing projects, including entity and sentiment recognition. Contributed to reinforcement learning from human feedback (RLHF) pipelines for training large language models. Completed evaluation and QA tasks to ensure annotation quality. • Annotated and labeled text for NLP model development • Executed RLHF tasks for LLM fine-tuning • Reviewed textual data for accuracy and consistency • Participated in iterative feedback and improvement cycles

2021 - 2021

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Education

Work History