Brian Oyabi

Detail-driven Word-Level Alignment Annotator with 6 years of experience in linguistic data annotation and language quality work. Advanced-level English proficiency combined with strong analytical precision in mapping source and target text at the word and phrase level for parallel corpora and machine translation datasets. Skilled in following complex annotation guidelines consistently across large volumes of data, resolving ambiguous alignments, and maintaining high inter-annotator agreement.

Comfortable working across multiple annotation platforms and tools, with a track record of accurate, on-time delivery in remote, deadline-driven environments.

Word-Level Alignment Annotator at Freelance / Remote (2021-01 – Present)

• Performed word- and phrase-level alignment between source and target language text for machine translation and NLP training datasets.
• Applied detailed annotation guidelines consistently across high-volume batches, flagging edge cases and ambiguous alignments for review.
• Maintained strong inter-annotator agreement scores through careful cross-checking and adherence to project style guides.
• Worked across multiple annotation platforms and spreadsheet-based tools, adapting quickly to new interfaces and instructions.
• Met tight project deadlines while sustaining high accuracy on large-scale linguistic datasets.

Linguistic Data Annotator at Freelance / Remote (2019-01 – 2021-12)

• Labeled and tagged English-language text data for NLP model training, including entity tagging and text classification tasks.
• Reviewed and corrected machine-generated annotations for accuracy and consistency.
• Collaborated with project leads to clarify guidelines and resolve recurring annotation questions.
• Delivered consistent output quality across multiple concurrent annotation projects.

Bachelor of Arts – Kenyatta University (2016-01 – 2020-12)