Jane K.

Key Skills

Software

Other

Appen

Toloka

Top Subject Matter

Multilingual AI training data (captioning, contextual labeling)

CrowdGen/Appen/Toloka annotation (image/video labeling)

Compliance-oriented workflow guidance for transcription/annotation tasks

Top Data Types

Image

Text

Audio

Video

Document

Top Task Types

Bounding Box

Transcription

Freelancer Overview

Freelance AI Data Contributor. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Appen, and Toloka. Education includes Diploma in Telecommunication Engineering, Nairobi Technical Training Institute. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box and Transcription.

Labeling Experience

Remote Contributor – CrowdGen, Appen, Toloka

AppenImageBounding Box

Contributed to large-scale annotation projects across image, bounding-box, and video-related tasks. Applied quality standards to ensure dataset reliability and adherence to task instructions. Collaborated with global teams to produce fine-tuned AI-ready data. • Image labeling and bounding box annotation • Video-related annotation tasks • Quality benchmark and deadline adherence • Collaboration with global teams and adaptation to guidelines

2022 - Present

Freelance AI Data Contributor

OtherImageBounding Box

Provided multilingual image and text annotations to support AI training datasets. Performed transcription and digital content collection while applying culturally informed captioning and contextual labeling. Followed privacy and data integrity requirements to maintain dataset compliance. • Multilingual captioning and contextual labeling • Transcription and content collection across digital platforms • Quality assurance and error detection in produced data • Compliance with privacy and data integrity guidelines

2022 - Present

Creative Educator & Workflow Designer

OtherTextTranscription

Supported transcription and annotation routines through learner-focused guidance and practical tutorials. Mapped workflows for compliance and operational safety projects to standardize how labeling tasks are executed. Created reference materials to help contributors follow consistent data-handling and annotation logic. • Tutorials and guides for transcription/annotation routines • Workflow mapping for compliance and operational safety • Quality-focused guidance for consistent labeling • Development of quick-reference frameworks for logic-based tasks

2020 - 2021

Education

Work History