Peter Uke
@peteruke
Data Quality and Technical Annotation specialist driving accurate AI training datasets.
What I'm looking for
I am a Data Quality & Technical Annotation specialist with four years' experience delivering high-integrity datasets for global AI projects, consistently achieving accuracy rates above 90% across complex annotation tasks.
I specialize in audio-text synchronization QA, semantic segmentation, and e-commerce recommendation tagging, and I leverage Python, SQL and advanced Excel to automate data cleansing and verification workflows that improve throughput and reliability.
I have worked remotely for market leaders like Appen and OneForma, built personal automation tools, and produce structured defect reports and process improvements that translate quality issues into actionable outcomes.
Experience
Work history, roles, and key accomplishments
Performed high-volume image annotation and rating tasks for AI models, evaluating thousands of data points daily and maintaining a 95% accuracy rate while meeting hourly production targets.
Data Annotation Specialist
OneForma
Jun 2021 - Jan 2024 (2 years 7 months)
Executed high-precision classification and tagging of 7,000+ data points for global AI projects, maintaining a 93% accuracy rate and improving recommendation tagging for e-commerce systems.
Quality Assurance Specialist
QA World
Jan 2021 - Jan 2023 (2 years)
Performed rigorous audio-text synchronization QA for speech recognition datasets, correcting temporal alignment and speaker diarization and creating defect reports that improved team output.
Education
Degrees, certifications, and relevant coursework
University of Calabar
Bachelor of Science, Microbiology
Bachelor of Science in Microbiology completed at the University of Calabar in 2025.
Availability
Location
Authorized to work in
Job categories
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