stephen karanja
@stephenkaranja4
PhD-qualified linguistic specialist delivering accurate multilingual text evaluation for AI training and data annotation.
What I'm looking for
I’m a PhD-qualified language and interdisciplinary specialist from the University of Nairobi, focused on linguistic analysis, multilingual communication, and content evaluation. I help teams assess, compare, and refine written data with accuracy and consistency.
In my Graduate Teaching Assistant role (2019–2023), I evaluated and graded large volumes of written work while maintaining high standards for grammar, coherence, clarity, and overall text quality. I used structured evaluation frameworks similar to data annotation guidelines and delivered detailed, actionable feedback to improve content effectiveness.
I also bring strong capabilities in assessing differences across responses through comparative analysis and pairwise comparison, with a clear emphasis on attention to detail and data quality assurance. I’m comfortable labeling, validating, and applying guideline-driven processes to support AI training workflows.
I work effectively in remote, work-from-home environments, managing tasks with dependability and a flexible schedule (20+ hours per week). I’m ready to contribute to teams that value structured guidelines, consistent quality, and measurable improvements in language and text outcomes.
Experience
Work history, roles, and key accomplishments
Graduate Teaching Assistant
University of Nairobi
Jan 2019 - Jan 2023 (4 years)
Evaluated and graded large volumes of written work, assessing grammar, coherence, clarity, and overall text quality using structured evaluation frameworks. Conducted comparative (pairwise) analysis across responses and delivered actionable feedback to improve content effectiveness.
Education
Degrees, certifications, and relevant coursework
University of Nairobi
Doctor of Philosophy (PhD), Languages & Interdisciplinary Studies
2019 - 2023
Completed a Doctor of Philosophy (PhD) in Languages & Interdisciplinary Studies at the University of Nairobi from 2019 to 2023, building expertise in linguistic analysis and multilingual content evaluation.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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