Levi Ogeto

Key Skills

Software

Scale AI

Appen

Remotasks

Top Subject Matter

Healthcare Data & Medical Documentation

Medical Imaging

Medical Speech

Top Data Types

Image

Audio

Text

Document

Top Task Types

Bounding Box

Transcription

RLHF

Entity Ner Classification

Freelancer Overview

Freelance Data Annotator & Medical Transcriptionist. Core strengths include Appen and Remotasks. AI-training focus includes data types such as Text and Audio and labeling workflows including Entity (NER) Classification and Transcription.

Labeling Experience

RLHF Evaluator (Freelance)

Scale AITextRLHF

As part of reinforcement learning from human feedback (RLHF) workflows, I evaluated AI-generated text for factual accuracy, relevance, and instruction adherence. I contributed to prompt evaluation, quality assessment, and improvement of language model outputs. This involved comprehensive review and structured reporting on large-scale text data for AI research. • Judged language model outputs for correctness. • Improved AI responses through continuous feedback. • Developed insights on prompt engineering. • Maintained dataset integrity for model fine-tuning.

As part of reinforcement learning from human feedback (RLHF) workflows, I evaluated AI-generated text for factual accuracy, relevance, and instruction adherence. I contributed to prompt evaluation, quality assessment, and improvement of language model outputs. This involved comprehensive review and structured reporting on large-scale text data for AI research. • Judged language model outputs for correctness. • Improved AI responses through continuous feedback. • Developed insights on prompt engineering. • Maintained dataset integrity for model fine-tuning.

2025 - Present

Freelance Medical Transcriptionist

RemotasksTextTranscriptionEntity Ner Classification

In this role, I was responsible for transcribing short-form medical audio clips with a focus on accuracy, speaker labeling, and formatting. I developed and applied rigorous quality assurance workflows for speech-to-text annotation tasks. My efforts resulted in high-fidelity transcripts suitable for subsequent AI training and evaluation processes. • Transcribed medical dialogues and clinical dictations. • Ensured accuracy through detailed QA protocols. • Handled bilingual audio data (English/Swahili). • Supported development of healthcare NLP datasets.

In this role, I was responsible for transcribing short-form medical audio clips with a focus on accuracy, speaker labeling, and formatting. I developed and applied rigorous quality assurance workflows for speech-to-text annotation tasks. My efforts resulted in high-fidelity transcripts suitable for subsequent AI training and evaluation processes. • Transcribed medical dialogues and clinical dictations. • Ensured accuracy through detailed QA protocols. • Handled bilingual audio data (English/Swahili). • Supported development of healthcare NLP datasets.

2025 - Present

Freelance Data Annotator & Medical Transcriptionist

Scale AIImageBounding Box

As a freelance data annotator, I managed image annotation projects utilizing bounding boxes and multi-class classification for healthcare AI models. I also ensured dataset consistency through strict guideline adherence and participated in inter-rater quality assurance. Using platforms such as Scale AI, Appen, and Remotasks, I adapted to various structured annotation schemas and workflows. • Created labeled datasets for medical object detection. • Maintained inter-rater reliability by following annotation standards. • Utilized client-specific platforms to deliver high-quality labels. • Ensured accuracy for AI model training through robust QA processes.

As a freelance data annotator, I managed image annotation projects utilizing bounding boxes and multi-class classification for healthcare AI models. I also ensured dataset consistency through strict guideline adherence and participated in inter-rater quality assurance. Using platforms such as Scale AI, Appen, and Remotasks, I adapted to various structured annotation schemas and workflows. • Created labeled datasets for medical object detection. • Maintained inter-rater reliability by following annotation standards. • Utilized client-specific platforms to deliver high-quality labels. • Ensured accuracy for AI model training through robust QA processes.

2025 - Present

Education

Work History