Open to opportunities

JONGCHAN CHOI

@jongchanchoi

Experienced AI data labeling and evaluation specialist with strong bilingual (Korean-English) linguistic and analytical skills.

South Korea

Message

What I'm looking for

I seek remote roles contributing to AI training data—annotation, transcription, and QA—where I can apply accuracy, multilingual skills, and continuous improvement in collaborative, guideline-driven projects.

I am a detail-oriented AI data labeling and evaluation specialist with over two years of experience in multilingual projects, including annotation, transcription, and AI model training. I have consistently maintained high accuracy across image classification, text evaluation, search relevance, and speech recognition tasks.

My expertise spans platforms and tools such as UHRS, Appen Connect, OneForma, Telus, CrowdGen, and Google Sheets. I am proficient in English and Korean, capable of handling linguistic evaluation tasks and following complex guidelines with precision.

I am passionate about improving AI systems through accurate labeling and quality assurance. I value analytical thinking, reliability, and adaptability, and I continuously pursue professional development to ensure top-tier dataset precision and deliverables.

Experience

Work history, roles, and key accomplishments

Current

Independent Contributor

Current

OneForma

Jan 2025 - Present (10 months)

Participated in training and qualification programs (e.g., Milkyway Lightspeed 2.0, Ocean Speech) and applied best practices in metadata labeling and language quality checks to support international AI projects. Improved annotation consistency through continued qualification and project collaboration.

OneForma Metadata Audio Evaluation Language Checks Annotation Consistency Collaboration

Current

Freelancer

Current

Appen / CrowdGen

Jan 2024 - Present (1 year 10 months)

Performed speech transcription, audio segmentation, and linguistic data evaluation for Korean AI models, delivering high-volume work on schedule and contributing to annotation refinement and QA testing. Utilized Appen Connect and CrowdGen portals to validate and improve dataset precision.

Audio Segmentation Data Validation QA Testing Annotations

Current

Data Labeling Contributor

Current

Clickworker & UHRS

Jan 2024 - Present (1 year 10 months)

Executed search relevance, image classification, text tagging, and intent recognition tasks, maintaining above 90% accuracy and meeting daily productivity goals. Performed gold standard validation and correction cycles within UHRS to improve dataset quality.

Data Labeling UHRS Quality Assurance Search Relevance Productivity