Sifuna

Key Skills

Software

Doccano

Supervisely

Top Subject Matter

Natural language processing dataset labeling and quality review

Administrative data quality and labeling support for AI projects

Computer vision and NLP dataset annotation (images, video, text) plus transcription review

Top Data Types

Text

Image

Video

Document

Top Task Types

Entity (NER) Classification

Classification

Tracking

Freelancer Overview

Data Labeling Associate (Remote/Contract). Core strengths include Doccano, Google Sheets, and Microsoft Excel. Education includes Master of Economics, University of Nairobi (2024) and Bachelor of Science, Kenyatta University (2021). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Entity (NER) Classification, Classification, and Tracking.

Labeling Experience

AI Training Specialist / Data Annotation Specialist (Freelance, Remote)

SuperviselyVideoTracking

Labeled and annotated datasets for machine learning, computer vision, and natural language processing projects with strong adherence to annotation rules. Completed image and video labeling including bounding boxes, polygons, key points, object tracking, frame-by-frame action recognition, and dataset quality review. Reviewed transcription-related audio inputs for transcription accuracy, speaker labeling, timestamps, and quality consistency to improve overall dataset ground truth.• Annotated images using bounding boxes, polygons, points, and key points for detection and recognition tasks.• Supported video annotation for object tracking, frame-by-frame labeling, and action recognition workflows.• Performed text classification and structured data entry using project-specific guidelines.• Used tools (Supervisely, Labelbox, CVAT, Roboflow, Doccano, and others) to export and review labeled data in CSV/JSON and COCO/Pascal VOC formats.

2023 - Present

Data Labeling Associate (Remote/Contract)

DoccanoTextEntity (NER) Classification

Performed text classification and categorization for AI model training projects using client-provided labeling instructions. Ensured high-quality ground-truth by reviewing entries for consistency, spelling accuracy, category alignment, and overall project compliance. Supported dataset reliability through structured data entry and spreadsheet/dashboard updates.• Classified text records and short descriptions into correct categories.• Tagged and reviewed labeled digital entries for accuracy and completeness.• Assisted with dataset cleaning by finding duplicate, incomplete, or incorrectly labeled records.• Followed detailed labeling guidelines for reliable outputs.

2022 - 2023

Data Entry & Quality Review Assistant (Remote/Contract)

ImageClassification

Entered, updated, and verified records in online databases and spreadsheets to support AI training workflows and quality assurance. Performed accuracy checks for missing fields, formatting errors, duplicate entries, and flagged items that required review. Maintained clean, consistent datasets for remote teams while adhering to confidentiality and deadline expectations.• Verified and updated digital information across project systems.• Checked records for accuracy, completeness, and formatting consistency.• Organized data using spreadsheets, folders, and naming conventions.• Supported classification tasks by sorting information into correct categories and reviewing flagged entries.

2021 - 2022

Education

Work History