Miranda Simbi

Key Skills

Software

Telus

Appen

Toloka

Top Subject Matter

Computer Vision

Multimodal AI

Natural Language Processing

Top Data Types

Image

Text

Document

Top Task Types

Classification

RLHF

Transcription

Fine Tuning

Freelancer Overview

Data Annotation Specialist. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus and Crowdgen. Education includes Certified Associate in Project Management, Project Management Institute (2025) and Bachelor of Science, University of Eldoret (2013). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and RLHF.

Labeling Experience

AI Language Contributor — Project Fireweed

TextRLHF

As an AI Language Contributor for Project Fireweed at Crowdgen, I contributed to Swahili AI language model improvement with high-quality natural language samples and prompt-response pairs. I reviewed and rated Swahili model outputs for fluency, grammaticality, and contextual relevance. I generated original Swahili content for corpus expansion and low-resource language handling. • Supported RLHF and fine-tuning workflows for language model optimization. • Evaluated outputs for cultural appropriateness and naturalness. • Produced content across diverse domains and registers. • Ensured data diversity and authenticity for language training purposes.

As an AI Language Contributor for Project Fireweed at Crowdgen, I contributed to Swahili AI language model improvement with high-quality natural language samples and prompt-response pairs. I reviewed and rated Swahili model outputs for fluency, grammaticality, and contextual relevance. I generated original Swahili content for corpus expansion and low-resource language handling. • Supported RLHF and fine-tuning workflows for language model optimization. • Evaluated outputs for cultural appropriateness and naturalness. • Produced content across diverse domains and registers. • Ensured data diversity and authenticity for language training purposes.

2024 - Present

Data Annotation Specialist

TelusImageClassification

As a Data Annotation Specialist at Telus International, I performed structured annotation of image and video datasets for computer vision and multimodal AI model training. I applied client-specific labelling guidelines to classify objects, actions, scenes, and attributes in images and videos. I conducted quality reviews on peer-annotated data to ensure accuracy and integrity. • Supported large-scale data annotation pipelines for diverse AI client projects. • Adapted to evolving annotation schemas and instructions. • Maintained high consistency and precision in labeling tasks. • Upheld data quality standards through quality assurance and error correction.

As a Data Annotation Specialist at Telus International, I performed structured annotation of image and video datasets for computer vision and multimodal AI model training. I applied client-specific labelling guidelines to classify objects, actions, scenes, and attributes in images and videos. I conducted quality reviews on peer-annotated data to ensure accuracy and integrity. • Supported large-scale data annotation pipelines for diverse AI client projects. • Adapted to evolving annotation schemas and instructions. • Maintained high consistency and precision in labeling tasks. • Upheld data quality standards through quality assurance and error correction.

2021 - Present

Education

Work History