Kennedy K.

Key Skills

Software

CloudFactory

Top Subject Matter

Natural language processing (NLP) training datasets (multimodal).

Financial document processing and expense data preparation.

Autonomous vehicle data labeling (AI perception training).

Top Data Types

Text

Audio

Document

3D Sensor

Image

Top Task Types

Entity (NER) Classification

Transcription

Object Detection

Freelancer Overview

Data Annotator — IDEAS (AI Training Dataset Development). Core strengths include N, A, and CloudFactory. Education includes Diploma, Technical University of Mombasa (2023) and Kenya Certificate of Secondary Education, Kiburu High School (2018). AI-training focus includes data types such as Text, Images, and Audio and labeling workflows including Entity (NER) Classification, Transcription, and Object Detection.

Labeling Experience

Data Transcriber — Expensify (Financial Data Processing)

CloudFactoryDocumentTranscription

You transcribed and structured financial documents (receipts and invoices) into standardized digital formats. You performed data validation and error correction while adhering to client-specific formatting and confidentiality standards. You processed high daily volumes with a strong accuracy rate and supported faster delivery through QA collaboration. • Transcribed financial documents into standardized digital records. • Validated outputs and corrected errors to maintain high accuracy. • Followed confidentiality and client formatting requirements. • Processed 100+ documents daily with ~98% accuracy and reduced turnaround time by 15%.

2023 - 2024

Data Annotator — Audi of America (Autonomous Vehicle Data Collaboration Labeling)

3D SensorObject Detection

You labeled and annotated autonomous-vehicle sensor data (LiDAR and camera feeds) for training AI perception models. You tagged objects, road signs, and pedestrian movements to improve model understanding for driving scenarios. You adhered to strict safety and privacy protocols for handling sensitive automotive data while meeting and exceeding annotation targets. • Annotated LiDAR/camera sensor data for autonomous vehicle training. • Labeled objects, road signs, and pedestrian movements. • Followed safety and privacy requirements for sensitive data. • Exceeded weekly annotation targets by ~10% while maintaining accuracy.

2022 - 2024

Data Annotator — IDEAS (AI Training Dataset Development)

TextEntity (NER) Classification

You labeled and annotated multimodal datasets (text, images, audio) for machine learning model training in NLP applications. You followed rigorous guidelines to keep annotations consistent and aligned with downstream ML workflow requirements. You collaborated with specialists to improve annotation protocols and overall data efficiency. • Labeled text, image, and audio data to support NLP-focused AI training. • Applied quality guidelines for consistency and relevance. • Coordinated with linguists and engineers to refine labeling protocols. • Conducted QA and discrepancy resolution to improve accuracy.

2019 - 2023

Education

Work History