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Wincate M.

Wincate M.

Data Annotator – AI Training Projects (Remote) at Outlier AI (2024–2026)

Kenya flagNairobi, Kenya

Key Skills

Software

Other

Top Subject Matter

Artificial intelligence and machine learning training datasets for classification
AI dataset annotation for text classification and image tagging
AI dataset quality review and auditing for machine learning readiness

Top Data Types

ImageImage
VideoVideo
TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Data Annotator – AI Training Projects (Remote) at Outlier AI (2024–2026). Core strengths include Other. Education includes Master of Science in Mathematics, University of Nairobi (2024). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Annotator – AI Training Projects (Remote) at Outlier AI (2024–2026)

OtherImageImageClassificationClassification

Annotated and labeled large-scale datasets to support machine learning model training and AI development. Performed image, video, and text classification tasks while following detailed annotation guidelines and project instructions. Maintained strong accuracy and consistency to improve dataset usability and readiness for model deployment. • Labeled visual and textual inputs according to provided guidelines • Categorized complex data structures for training effectiveness • Completed tasks within strict project deadlines • Reviewed and applied structured tagging to improve dataset quality

2024 - 2026

Data Annotator (Remote AI Projects) (2022–2024)

OtherTextTextClassificationClassification

Completed annotation tasks across multiple AI datasets including text classification and image tagging. Followed structured annotation frameworks designed for machine learning training pipelines. Ensured high-quality labels by reviewing items for accuracy, consistency, and completeness. • Performed text classification and data categorization • Tagged images using defined labeling instructions • Conducted independent workload management with attention to detail • Validated annotations through accuracy and completeness checks

2022 - 2024

Data Auditor – AI Dataset Quality Review (Remote) (2021–2024)

OtherImageImage

Conducted data auditing and quality assurance for annotated AI training datasets. Reviewed labeled data to identify inconsistencies, annotation errors, and deviations from guideline requirements. Validated dataset integrity prior to model training deployment and provided corrective feedback. • Detected labeling issues and guideline non-compliance • Audited dataset integrity for training readiness • Supplied documented corrective guidance to maintain standards • Ensured compliance with project specifications and annotation guidelines

2021 - 2024

Education

U

University of Nairobi

Master of Science in Mathematics, Mathematics

Master of Science in Mathematics
2022 - 2024

Work History

O

Outlier AI

Data Annotator

Texas
2024 - 2026
T

Telus International

Data Annotator

Nairobi
2021 - 2024