Daniel Muchirah

Key Skills

Software

CloudFactory

CVAT

Toloka

Telus

SuperAnnotate

Mindrift

Labelbox

Label Studio

Top Subject Matter

Natural Language Processing (NLP)

Large Language Models (LLMs)

Conversational AI

Top Data Types

Image

Text

Video

Document

Top Label Types

Bounding Box

Entity Ner Classification

Polygon

Segmentation

Classification

Text Generation

Question Answering

Text Summarization

Transcription

Data Collection

Prompt Response Writing SFT

RLHF

Object Detection

Freelancer Overview

AI Tutor & Data Annotation Specialist. Core strengths include Mindrift and CloudFactory. AI-training focus includes data types such as Text, Image, and Document and labeling workflows including RLHF, Object Detection, and Polygon.

Labeling Experience

Freelance Data Labeler & AI Training Specialist

MindriftImageObject Detection

As a Freelance Data Labeler & AI Training Specialist at Mindrift, I completed over 8,000 microtasks spanning diverse modalities with high acceptance and accuracy rates. I executed image, text, audio, and video annotation tasks supporting e-commerce, medical imaging, and multilingual AI models. My responsibilities included RLHF, data collection, guideline adherence, peer review, and bias detection for both English and Swahili language projects. • Performed image annotation, object detection, and semantic segmentation for computer vision. • Executed sentiment analysis, classification, and moderation for LLM training in text data. • Transcribed audio and analyzed video content for multimedia AI training. • Identified edge cases and flagged bias across data types to ensure fairness.

As a Freelance Data Labeler & AI Training Specialist at Mindrift, I completed over 8,000 microtasks spanning diverse modalities with high acceptance and accuracy rates. I executed image, text, audio, and video annotation tasks supporting e-commerce, medical imaging, and multilingual AI models. My responsibilities included RLHF, data collection, guideline adherence, peer review, and bias detection for both English and Swahili language projects. • Performed image annotation, object detection, and semantic segmentation for computer vision. • Executed sentiment analysis, classification, and moderation for LLM training in text data. • Transcribed audio and analyzed video content for multimedia AI training. • Identified edge cases and flagged bias across data types to ensure fairness.

2022 - Present

AI Tutor

MindriftTextRLHF

As an AI Tutor & Data Annotation Specialist at Mindrift, I trained and evaluated large-language models, annotated text datasets, and improved model safety. I reviewed, scored, and provided actionable feedback on AI-generated prompts using rubrics and conducted bias auditing. My contributions included developing gold-standard examples and collaborating on annotation guideline refinements for multilingual and emerging NLP use cases. • Annotated and curated complex linguistic datasets for sentiment analysis and NLP tasks. • Conducted quality evaluations on chatbot responses, ensuring high standardization and accuracy. • Created gold-standard benchmarks and reduced inter-annotator variance across projects. • Collaborated closely with ML engineers on ethical and inclusive AI-system development.

As an AI Tutor & Data Annotation Specialist at Mindrift, I trained and evaluated large-language models, annotated text datasets, and improved model safety. I reviewed, scored, and provided actionable feedback on AI-generated prompts using rubrics and conducted bias auditing. My contributions included developing gold-standard examples and collaborating on annotation guideline refinements for multilingual and emerging NLP use cases. • Annotated and curated complex linguistic datasets for sentiment analysis and NLP tasks. • Conducted quality evaluations on chatbot responses, ensuring high standardization and accuracy. • Created gold-standard benchmarks and reduced inter-annotator variance across projects. • Collaborated closely with ML engineers on ethical and inclusive AI-system development.

2019 - 2025

Data Annotator (Computer Vision)

CloudfactoryImageBounding BoxPolygon

At CloudFactory as a Senior Data Annotation Specialist, I annotated over 50,000 multimodal data points for computer vision and NLP training, achieving industry-leading accuracy. I led complex projects involving 2D/3D annotation including bounding box, polygon segmentation, and keypoint annotation, and supported autonomous vehicles, retail analytics, and medical imaging domains. My work included peer review leadership, training of new annotators, and specialized workflows for video and segmentation tasks. • Executed 2D/3D bounding-box, polygon, and segmentation tasks for diverse AI models. • Performed NLP annotation including NER, sentiment, intent, and categorization. • Led QA, peer review, and consensus initiatives to maintain top-tier accuracy. • Trained and mentored junior annotators on major platforms and best practices.

At CloudFactory as a Senior Data Annotation Specialist, I annotated over 50,000 multimodal data points for computer vision and NLP training, achieving industry-leading accuracy. I led complex projects involving 2D/3D annotation including bounding box, polygon segmentation, and keypoint annotation, and supported autonomous vehicles, retail analytics, and medical imaging domains. My work included peer review leadership, training of new annotators, and specialized workflows for video and segmentation tasks. • Executed 2D/3D bounding-box, polygon, and segmentation tasks for diverse AI models. • Performed NLP annotation including NER, sentiment, intent, and categorization. • Led QA, peer review, and consensus initiatives to maintain top-tier accuracy. • Trained and mentored junior annotators on major platforms and best practices.

2021 - 2024

Data Annotator (NLP)

CloudfactoryDocumentEntity Ner ClassificationClassification

As a Data Entry & Annotation Specialist at CloudFactory, I processed and annotated high volumes of financial documents for machine learning projects. My duties included OCR verification, data extraction validation, and financial transaction tagging to support automated document processing pipelines. I designed and implemented quality-control processes, consistently exceeding accuracy and throughput standards for time-sensitive AI training work. • Annotated invoices, receipts, and bank statements via OCR and document verification tasks. • Tagged and classified financial transaction data for model training and fraud detection. • Conducted quality-control checks lowering team error rates and improving satisfaction. • Integrated annotated data into ML pipelines, supporting automated analysis and expense categorization.

As a Data Entry & Annotation Specialist at CloudFactory, I processed and annotated high volumes of financial documents for machine learning projects. My duties included OCR verification, data extraction validation, and financial transaction tagging to support automated document processing pipelines. I designed and implemented quality-control processes, consistently exceeding accuracy and throughput standards for time-sensitive AI training work. • Annotated invoices, receipts, and bank statements via OCR and document verification tasks. • Tagged and classified financial transaction data for model training and fraud detection. • Conducted quality-control checks lowering team error rates and improving satisfaction. • Integrated annotated data into ML pipelines, supporting automated analysis and expense categorization.

2020 - 2021

Education

Work History