For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
J

Jordan Chris

AI Data Specialist

Germany flagBerlin, Germany
Expert

Key Skills

Software

No software listed

Top Subject Matter

Automotive AI applications
structured datasets
Financial AI applications

Top Data Types

DocumentDocument
AudioAudio

Top Task Types

ClassificationClassification
TranscriptionTranscription

Freelancer Overview

AI Data Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Technical University of Berlin (2023) and Bachelor of Science, Humboldt University of Berlin (2021). AI-training focus includes data types such as Document and Audio and labeling workflows including Classification and Transcription.

Expert

Labeling Experience

AI Data Specialist

DocumentClassification
As an AI Data Specialist at Auto1 Group, I performed comprehensive data annotation and labeling on structured datasets supporting machine learning systems. I was responsible for data collection, preprocessing, and upholding strict quality assurance measures across reporting tasks. My work involved applying consistent guidelines and documentation for collaborative, remote AI model development. • Managed structured document labeling pipelines for AI training • Conducted quality assurance and evaluation reviews of datasets • Produced detailed reports to support model improvement • Ensured accuracy and consistency in repetitive annotation tasks

As an AI Data Specialist at Auto1 Group, I performed comprehensive data annotation and labeling on structured datasets supporting machine learning systems. I was responsible for data collection, preprocessing, and upholding strict quality assurance measures across reporting tasks. My work involved applying consistent guidelines and documentation for collaborative, remote AI model development. • Managed structured document labeling pipelines for AI training • Conducted quality assurance and evaluation reviews of datasets • Produced detailed reports to support model improvement • Ensured accuracy and consistency in repetitive annotation tasks

2023 - Present

Data Annotation Analyst

DocumentClassification
As a Data Annotation Analyst at N26 GmbH, I executed a variety of annotation tasks focusing on object tagging and content classification within large training datasets. I adhered closely to project labeling guidelines while maintaining high accuracy in repetitive, rule-based assignments. My responsibilities contributed directly to remote AI evaluation projects and data quality assurance initiatives. • Completed pairwise comparisons and counting tasks for AI evaluation • Tagged and classified content within large document datasets • Followed strict annotation protocols for AI development • Delivered high-accuracy, guideline-driven labeling outcomes

As a Data Annotation Analyst at N26 GmbH, I executed a variety of annotation tasks focusing on object tagging and content classification within large training datasets. I adhered closely to project labeling guidelines while maintaining high accuracy in repetitive, rule-based assignments. My responsibilities contributed directly to remote AI evaluation projects and data quality assurance initiatives. • Completed pairwise comparisons and counting tasks for AI evaluation • Tagged and classified content within large document datasets • Followed strict annotation protocols for AI development • Delivered high-accuracy, guideline-driven labeling outcomes

2022 - 2023

Research Data Assistant

AudioTranscription
At the Fraunhofer Heinrich Hertz Institute, I contributed to linguistic dataset projects by performing transcription and linguistic annotation of audio data. I also assisted in phonetics and syntax evaluation for datasets used in machine learning research. My work supported the semantic analysis and preparation of structured documentation for language-focused AI models. • Transcribed and annotated language audio datasets • Evaluated phonetic and syntactic structures in research data • Supported data preparation for machine learning projects • Developed technical reports documenting findings

At the Fraunhofer Heinrich Hertz Institute, I contributed to linguistic dataset projects by performing transcription and linguistic annotation of audio data. I also assisted in phonetics and syntax evaluation for datasets used in machine learning research. My work supported the semantic analysis and preparation of structured documentation for language-focused AI models. • Transcribed and annotated language audio datasets • Evaluated phonetic and syntactic structures in research data • Supported data preparation for machine learning projects • Developed technical reports documenting findings

2020 - 2022

Education

T

Technical University of Berlin

Master of Science, Artificial Intelligence

Master of Science
2021 - 2023
H

Humboldt University of Berlin

Bachelor of Science, Computer Science

Bachelor of Science
2017 - 2021

Work History

F

Fraunhofer Heinrich Hertz Institute

Research Data Assistant

Berlin
2020 - 2022