I’m Izuchukwu Chinedu, an AI Data Annotator and Model Evaluator with 3+ years of experience supporting large-scale machine learning work through careful dataset annotation and RLHF-style evaluation. I focus on quality and consistency using rubrics to score model responses for factual accuracy, prompt adherence, safety, and hallucination risks, while also handling tasks like NER and sentiment labeling. I also work on audio transcription and transcription quality checks, ensuring outputs match strict client guidelines. I’ve built Python-based preprocessing scripts to clean and structure data for faster pipelines, and I’ve led small annotation teams by establishing QA workflows that reduced error rates significantly while maintaining strong confidentiality standards.

IZUCHUKWU CHINEDU

I’m Izuchukwu Chinedu, an AI Data Annotator and Model Evaluator with 3+ years of experience supporting large-scale machine learning work through careful dataset annotation and RLHF-style evaluation. I focus on quality and consistency using rubrics to score model responses for factual accuracy, prompt adherence, safety, and hallucination risks, while also handling tasks like NER and sentiment labeling. I also work on audio transcription and transcription quality checks, ensuring outputs match strict client guidelines. I’ve built Python-based preprocessing scripts to clean and structure data for faster pipelines, and I’ve led small annotation teams by establishing QA workflows that reduced error rates significantly while maintaining strong confidentiality standards.

Available to hire

I’m Izuchukwu Chinedu, an AI Data Annotator and Model Evaluator with 3+ years of experience supporting large-scale machine learning work through careful dataset annotation and RLHF-style evaluation. I focus on quality and consistency using rubrics to score model responses for factual accuracy, prompt adherence, safety, and hallucination risks, while also handling tasks like NER and sentiment labeling.

I also work on audio transcription and transcription quality checks, ensuring outputs match strict client guidelines. I’ve built Python-based preprocessing scripts to clean and structure data for faster pipelines, and I’ve led small annotation teams by establishing QA workflows that reduced error rates significantly while maintaining strong confidentiality standards.

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Language

English
Fluent
French
Advanced
Dutch
Advanced
Czech
Advanced
Polish
Advanced
Portuguese
Advanced
Ukrainian
Advanced

Work Experience

AI Data Annotator & Quality Lead at Freelance (Remote)
January 1, 2023 - Present
Evaluated generative AI model responses using detailed rubrics to assess factual accuracy, prompt adherence, safety criteria, and hallucination detection. Completed data labeling work including Named Entity Recognition (NER) and sentiment classification for large-scale multilingual text datasets. Managed a team of 5 annotators by setting quality control guidelines, performing QA audits, and reducing overall error rates by 30%. Developed Python preprocessing scripts to clean, structure, and format dataset inputs, improving pipeline turnaround time by 20%. Managed multilingual dataset quality assurance across 7 European languages (English, French, Dutch, Czech, Polish, Portuguese, Ukrainian). Produced 1,200+ hours of accurate transcriptions and data processing under strict confidentiality.
Junior Data Annotator & Transcriptionist at TranscribeMe (Remote)
June 1, 2022 - December 31, 2022
Formatted, verified, and annotated text and audio data with a 99% client satisfaction rating. Trained new hires on quality control standards, annotation tools, and guideline compliance to help maintain consistent output quality.
Junior Transcriptionist at TranscribeMe (Remote)
June 1, 2022 - December 1, 2022
Produced high-quality transcriptions for corporate webinars and podcasts, maintaining a 99% client satisfaction rating. Trained new hires on transcription quality standards and the tools used to deliver consistent results. Worked with an emphasis on accuracy, formatting quality, and reliable delivery within client expectations.
Transcription Specialist & Annotation Lead at Freelance (Remote)
January 1, 2022 - June 1, 2023
Delivered over 1,200 hours of transcribed audio across English, French, Dutch, Czech, Polish, Portuguese, and Ukrainian. Managed a team of 5 annotators by defining annotation guidelines and performing QA checks, reducing error rates by 30%. Built automated Python workflow scripts to pre-process audio files, improving turnaround time by 20%. Maintained strict confidentiality for HIPAA-compliant medical transcription projects, ensuring sensitive data was handled appropriately.

Education

B.S. in Linguistics at UC Berkeley
January 11, 2030 - May 1, 2022
B.S. in Linguistics (coursework includes Computational Linguistics, Multilingual Corpus Analysis, Phonetics) at UC Berkeley
January 11, 2030 - May 1, 2022

Qualifications

Certified Transcriptionist (AAERT)
January 1, 2023 - September 5, 2026
Data Annotation Specialist (Scale AI Academy)
January 1, 2024 - September 5, 2026
Data Annotation Specialist – Scale AI Academy
January 1, 2024 - September 7, 2026
Certified Transcriptionist – AAERT
January 1, 2023 - September 7, 2026

Industry Experience

Healthcare, Media & Entertainment, Professional Services, Software & Internet