Ivo Jurásek

Key Skills

Software

Appen

Top Subject Matter

Large Language Model Evaluation and RLHF

AI-Generated Imagery Annotation

Automated Speech Recognition Training

Top Data Types

Text

Image

Audio

Top Task Types

RLHF

Classification

Freelancer Overview

AI Training & Annotation Specialist. Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Master of Arts, University of Ostrava (2012) and Bachelor of Arts, University of Ostrava (2009). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including RLHF and Classification.

Labeling Experience

Signal Training Data Annotator

AppenAudioClassification

I took part in signal training projects to help AI models distinguish human speech from background noise and accurately identify speakers. This involved listening to audio segments, annotating them for correctness, and classifying challenging audio environments. My contributions directly supported improvements in automated speech recognition systems. • Performed detailed audio data classification for signal training • Annotated speaker identity and background noise in various acoustic scenarios • Ensured high-quality datasets for ASR model training • Worked alongside teams to verify and audit final labeled outputs

I took part in signal training projects to help AI models distinguish human speech from background noise and accurately identify speakers. This involved listening to audio segments, annotating them for correctness, and classifying challenging audio environments. My contributions directly supported improvements in automated speech recognition systems. • Performed detailed audio data classification for signal training • Annotated speaker identity and background noise in various acoustic scenarios • Ensured high-quality datasets for ASR model training • Worked alongside teams to verify and audit final labeled outputs

2023 - Present

Multimodal Annotation Specialist

AppenImageClassification

As part of multimodal annotation tasks, I performed detailed annotation of glitches and inconsistencies in AI-generated imagery to enhance visual model performance. The work involved identifying and classifying specific areas where AI-generated images failed to meet quality standards. My efforts helped improve both the accuracy and naturalness of computer vision models used in production. • Conducted fine-grained image classification for AI model accuracy • Annotated glitches and inconsistencies in synthetic images • Supported improvements in AI image synthesis pipelines • Coordinated with multidisciplinary teams for QA and review

As part of multimodal annotation tasks, I performed detailed annotation of glitches and inconsistencies in AI-generated imagery to enhance visual model performance. The work involved identifying and classifying specific areas where AI-generated images failed to meet quality standards. My efforts helped improve both the accuracy and naturalness of computer vision models used in production. • Conducted fine-grained image classification for AI model accuracy • Annotated glitches and inconsistencies in synthetic images • Supported improvements in AI image synthesis pipelines • Coordinated with multidisciplinary teams for QA and review

2023 - Present

AI Training & Annotation Specialist

AppenTextRLHF

As an AI Training & Annotation Specialist, I conducted reinforcement learning from human feedback (RLHF) and evaluation activities for major industry leaders. I focused on analyzing and annotating AI-generated text for logical, grammatical, and syntactic inconsistencies, actively mitigating hallucinations in large language models. My work included signal training and the annotation of multimodal content, including images and speech, to improve model accuracy. • Led LLM evaluation and reinforcement learning efforts on text-based outputs • Annotated and provided human feedback loops for hallucination detection and mitigation • Participated in training AI on distinguishing human speech from background noise • Collaborated with teams at Appen, Outlier, and Andovar on high-level AI projects

As an AI Training & Annotation Specialist, I conducted reinforcement learning from human feedback (RLHF) and evaluation activities for major industry leaders. I focused on analyzing and annotating AI-generated text for logical, grammatical, and syntactic inconsistencies, actively mitigating hallucinations in large language models. My work included signal training and the annotation of multimodal content, including images and speech, to improve model accuracy. • Led LLM evaluation and reinforcement learning efforts on text-based outputs • Annotated and provided human feedback loops for hallucination detection and mitigation • Participated in training AI on distinguishing human speech from background noise • Collaborated with teams at Appen, Outlier, and Andovar on high-level AI projects

2023 - Present

Education

Work History