Joshua M.

Key Skills

Software

Toloka

Surge AI

Scale AI

Sama

Remotasks

Redbrick AI

Mindrift

Mighty AI

Micro1

Label Studio

Kili Technology

Img Lab

Google Cloud Vertex AI

Deep Systems

Datature

CrowdSource

CloudFactory

Clickworker

AWS SageMaker

Top Subject Matter

Clinical Medicine

Reproductive Health

Medical/Surgical Nursing

Top Data Types

Text

Audio

Image

Document

Top Task Types

Transcription

Evaluation/Rating

RLHF

Text Generation

Object Detection

Prompt + Response Writing (SFT)

Data Collection

Fine-tuning

Question Answering

Text Summarization

Classification

Segmentation

Freelancer Overview

Digital & AI Operations Specialist (Model Alignment & RLHF). Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Nairobi (2026) and Bachelor of Arts, Kenyatta University (2024). AI-training focus includes data types such as Text and Audio and labeling workflows including RLHF and Transcription.

Labeling Experience

Digital & AI Operations / Virtual Support Specialist

AudioTranscription

I executed audio transcription and labeling assignments on Swahili and English data for language-focused machine learning initiatives. My tasks involved transforming audio files into accurate text and adding corresponding labels to facilitate supervised learning. This work directly supported the creation of high-quality training corpora for speech recognition and language models. • Transcribed structured and unstructured audio content • Labeled audio segments for supervised model training • Ensured linguistic accuracy in both Swahili and English • Aided model adaptation for multilingual speech datasets

2024 - Present

Digital & AI Operations / Virtual Support Specialist

TextRLHF

Led advanced RLHF-based data labeling projects focused on ranking and refining large language model (LLM) responses for clinical safety, accuracy, and logical reasoning. Executed both transcription and linguistic annotation of complex medical and Swahili audio into structured text for machine learning model training. Analyzed and annotated language model outputs to detect hallucinations, label reasoning chains, and improve response quality for global healthcare applications. • Ranked and rated LLM-generated responses for medical clinical accuracy. • Transcribed and labeled medical audio with high precision for AI model use. • Labeled linguistic features and patterns to enhance Swahili model accuracy. • Evaluated and annotated reasoning chains and hallucinations in AI outputs.

2024 - Present

Education

Work History