Entry-Level Remote AI Data Annotator

Katja Mordin

Wilmington, NC • 910-***-****

*******@*****.*** • linkedin.com/in/katja-mordin-8b832027 AI Data Annotator Data Quality Clinical Research Professional PROFESSIONAL SUMMARY

Detail-oriented AI Data Annotator with hands-on experience evaluating German-English datasets to support the development and improvement of large language models. Combines clinical research expertise with AI data annotation experience, bringing strengths in quality assurance, multilingual language evaluation, healthcare documentation, and regulatory compliance. Passionate about leveraging multilingual and healthcare expertise to improve the quality, reliability, and real-world performance of AI systems. Known for analytical thinking, exceptional attention to detail, and the ability to quickly learn new technologies while delivering accurate, high-quality work in remote environments.

CORE COMPETENCIES

AI Data Annotation • AI Output Evaluation • AI Quality Review • AI Content Evaluation • Large Language Models (LLMs) • German-English Language Evaluation • Prompt Evaluation • Documentation Review • Analytical Thinking • Problem Solving • Quality Control • Medical Terminology • Clinical Research • Data Quality Assurance • Regulatory Compliance (ICH-GCP)

• Microsoft Office Suite • Remote Collaboration • Time Management • Confidentiality PROFESSIONAL EXPERIENCE

- RWS

AI Data Annotator (German-English)

Remote March 2026 – Present

• Evaluate German-English datasets used to train and improve large language models

(LLMs).

• Review AI-generated content for linguistic accuracy, contextual consistency, and compliance with client-specific annotation guidelines.

• Apply detailed annotation standards while maintaining exceptional attention to detail across multiple projects.

• Identify inconsistencies and document findings to support continuous AI model improvement.

• Complete required client onboarding, AI training, and project-specific certification programs.

• Maintain confidentiality while working independently in a fully remote environment.

• Adapt quickly to evolving annotation guidelines and project requirements while maintaining consistent quality across assignments.

- ICON Plc

Clinical Research Associate I

Remote, Germany May 2023 – September 2023

• Reviewed clinical documentation to ensure completeness, accuracy, and compliance across Phase I-III clinical trials.

• Maintained Trial Master Files (TMF) and reviewed study documentation for completeness and quality.

• Assisted with data review, issue resolution, and documentation tracking across multiple clinical studies.

• Collaborated with cross-functional teams while adhering to ICH-GCP guidelines and company SOPs.

• Supported remote monitoring activities, study start-up documentation, and inspection readiness.

- Parexel

Clinical Research Nurse / Clinical Trial Assistant Berlin, Germany June 2021 – April 2023

• Coordinated clinical research activities while ensuring protocol compliance and participant safety.

• Reviewed clinical documentation and study data for accuracy and completeness.

• Supported data collection, quality assurance, and documentation processes throughout clinical trials.

• Maintained confidential participant information in accordance with regulatory requirements.

• Worked effectively with multidisciplinary research teams to meet study timelines. TECHNICAL SKILLS

AI & Data Quality: AI Data Annotation, AI Output Evaluation, AI Annotation Platforms, Data Validation, Documentation Review, Quality Assurance Clinical Systems: Medidata Rave, Oracle Clinical, Electronic Data Capture (EDC), Trial Master File (TMF)

Productivity: Microsoft Office Suite, Google Workspace, Microsoft Teams, SharePoint LICENSES & CERTIFICATIONS

• North Carolina Health Insurance Producer License

• Advanced Certified Clinical Research Professional (Advanced CCRP)

• Advanced Good Clinical Practice (GCP)

• Registered Nurse (Germany)

EDUCATION

Registered Nurse Diploma

Berlin, Germany

1991

LANGUAGES

• German — Native

• English — Fluent

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