Cherily Mayieka

Results-driven finance and AI data professional with a Bachelor of Cooperative Business Finance and a growing specialisation in machine learning annotation, dataset structuring, and AI model training workflows. Experienced across data annotation (text, image, video, audio), quality assurance, linguistic validation, and social impact research. Brings strong mathematical and analytical foundations — including probability mapping, outcome analysis, and structured problem-solving — to support AI systems in achieving higher accuracy and scalability.

Open to remote and hybrid opportunities across finance, research, and AI/ML domains.

Quality Assurance Specialist at Masakhane (2025-07 – 2025-12)

• Contributed to the development of African language technologies by performing quality assurance on Gusii language datasets for NLP model training.
• Reviewed and validated AI-generated sentences to ensure linguistic accuracy, cultural relevance, and consistency with native Gusii usage.
• Applied structured annotation and QA workflows to evaluate sentence quality, improving dataset reliability for natural language processing.
• Collaborated in an open-source initiative advancing inclusive African NLP, bridging technical precision with cultural and linguistic expertise.

Data Annotator at micro1 (2025-04 – 2025-11)

• Annotated diverse datasets (text, image, video, audio) for machine learning models, ensuring data is labelled with precision for supervised learning tasks.
• Reviewed and corrected labelled data to meet high-quality standards, collaborating with data scientists and AI engineers to refine labelling processes.
• Identified inconsistencies in datasets, proposed adjustments, and contributed to continuous improvements in the annotation workflow.
• Supported quality control measures ensuring datasets adhere to project guidelines and industry best practices.

Data Annotator – Photo Labeling (Uber Project) at Fuzu (2025-03 – 2026-03)

• Annotated large-scale photo datasets under the Uber project, labelling images with precise bounding boxes and classification tags to train LLM-integrated computer vision models.
• Contributed to building training data for facial recognition and identity verification systems, ensuring high accuracy and consistency across diverse image sets.
• Applied structured photo labeling workflows covering face detection, landmark annotation, and image quality assessment to meet model performance benchmarks.
• Maintained strict data handling protocols to preserve privacy and integrity of biometric training datasets.

Translator & AI Data Annotator at RWS Group (2024-12 – 2025-07)

• Conducted research, translation, and multilingual annotation projects, annotating images with bounding boxes and polygons for computer vision tasks.
• Accurately labelled and verified data across multiple annotation types, maintaining data quality and reporting issues to project leads.
• Translated text between languages, ensuring cultural and contextual accuracy aligned with project specifications.

Remote Research Assistant at 60 Decibels (2023-08 – 2024-12)

• Contributed to social impact research projects by designing and conducting remote surveys, managing data entry, and performing quantitative and qualitative analysis.
• Leveraged SurveyMonkey, Qualtrics, and Excel to deliver clean, reliable datasets and actionable reports for client stakeholders.
• Demonstrated strong interpersonal skills while engaging diverse respondent groups across different communities.
• Independently managed competing project deadlines in a fully remote environment, demonstrating strong self-management and accountability.

Sales Specialist at Paramount Students (2023-01 – 2024-07)

• Sourced and qualified leads using industry tools, building targeted prospect lists for cold email campaigns.
• Personalised outreach and created lead-to-prospect funnels, automating and optimising cold email campaigns for improved conversion.
• Managed prospects in CRM, attended internal sales meetings, and cleaned and maintained lead databases for pipeline accuracy.
• Conceptualised and delivered compelling client proposals, acquiring new accounts and reviving dormant client relationships.

Qualitative & Quantitative Field Interviewer at HealthRight Project (2022-08 – 2022-08)

• Conducted in-depth beneficiary interviews for a community health study across Mukuru kwa Reuben and Mukuru kwa Njenga.
• Supported methodology development, field data collection, data entry, analysis, and preparation of project reports.

Finance Intern at State Department of Housing & Urban Development (2021-10 – 2022-01)

• Retrieved, analysed, and reported financial data to inform national budget estimates.
• Prepared budget justification briefs for parliamentary funding approval and managed departmental communications.

Supermarket Attendant at Kisii Matt Supermarket (2019-04 – 2019-08)

• Managed point-of-sale transactions and cash operations with zero discrepancies; monitored stock levels and reordered merchandise.

Cyber Café Attendant at Niko Link Cyber Café (2018-01 – 2018-10)

• Handled payment processing, resolved connectivity issues, and coordinated support staff in a customer-facing environment.

Bachelor of Cooperative Business Finance in Finance – The Cooperative University of Kenya (2018-09 – 2022-12)

Kenya Certificate of Secondary School – Kereri Girls High School (2014-01 – 2017-11)