Ywaya Fidel

Key Skills

Software

Labelbox

Toloka

Top Subject Matter

AI Model Training

Prompt Optimization

Dataset Quality Assurance

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Entity (NER) Classification

Freelancer Overview

Freelance AI Data Annotator, Transcriptionist & Prompt Engineer. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and Toloka. Education includes Bachelor's Degree, Kenyatta University (2025). AI-training focus includes data types such as Text and labeling workflows including RLHF and Entity (NER) Classification.

Labeling Experience

Freelance AI Data Annotator, Transcriptionist & Prompt Engineer

LabelboxTextRLHF

As a freelance AI Data Annotator, Transcriptionist, and Prompt Engineer, I maintained a high level of accuracy while labeling diverse datasets spanning text, image, audio, and transcription data. I played a key role in prompt engineering and reducing hallucinations in AI outputs, ensuring robust data quality through QA workflows. My responsibilities included dataset validation, edge-case identification, and collaborating with global annotation teams. • Labeled and processed over 1,000 tasks per week with a 98%+ accuracy rate. • Used platforms such as Meka, MicroOne, Meka AI, iMerit, CloudFactory, CloudWorkers, Clickworker, and Toloka. • Applied RLHF techniques in prompt refinement for AI models. • Conducted annotation across text, image, and audio data types using tools like Labelbox and CVAT.

As a freelance AI Data Annotator, Transcriptionist, and Prompt Engineer, I maintained a high level of accuracy while labeling diverse datasets spanning text, image, audio, and transcription data. I played a key role in prompt engineering and reducing hallucinations in AI outputs, ensuring robust data quality through QA workflows. My responsibilities included dataset validation, edge-case identification, and collaborating with global annotation teams. • Labeled and processed over 1,000 tasks per week with a 98%+ accuracy rate. • Used platforms such as Meka, MicroOne, Meka AI, iMerit, CloudFactory, CloudWorkers, Clickworker, and Toloka. • Applied RLHF techniques in prompt refinement for AI models. • Conducted annotation across text, image, and audio data types using tools like Labelbox and CVAT.

2020 - Present

AI Training & Data Annotation Specialist

TolokaTextEntity Ner Classification

As an AI Training & Data Annotation Specialist, I carried out structured annotation tasks across classification, sentiment analysis, entity recognition, and transcription. I consistently met strict accuracy and quality benchmarks while supporting improvements to AI systems through dataset structuring and evaluation. My efforts contributed to enhancing the reliability and quality of AI-generated outputs. • Executed text classification and entity recognition on large-scale datasets. • Performed sentiment analysis and transcription of audio to text. • Structured and validated datasets for improved AI training. • Supported reliability improvements by evaluating AI outputs.

As an AI Training & Data Annotation Specialist, I carried out structured annotation tasks across classification, sentiment analysis, entity recognition, and transcription. I consistently met strict accuracy and quality benchmarks while supporting improvements to AI systems through dataset structuring and evaluation. My efforts contributed to enhancing the reliability and quality of AI-generated outputs. • Executed text classification and entity recognition on large-scale datasets. • Performed sentiment analysis and transcription of audio to text. • Structured and validated datasets for improved AI training. • Supported reliability improvements by evaluating AI outputs.

2020 - 2022

Education

Work History