Emmanuel Mark

Detail-oriented and highly experienced Danish Language Specialist with strong expertise in AI evaluation, AI annotation, translation, proofreading, transcription, data labeling, and linguistic quality assurance.

Native

Danish speaker with extensive experience working on multilingual AI and NLP projects involving large language models, speech recognition systems, machine translation evaluation, content moderation, and human-in-the-loop data annotation. Skilled in evaluating AI-generated responses for fluency, grammar, cultural accuracy, tone, contextual relevance, and factual consistency. Experienced in handling confidential linguistic datasets while maintaining exceptional quality standards and meeting strict deadlines.

Proven ability to work independently in remote environments with excellent analytical, linguistic, and communication skills. Passionate about language technology, artificial intelligence, localization, and improving machine learning systems through high-quality annotation and evaluation work.

Senior Danish AI Evaluator & Language Annotator at Nordic Language Solutions ApS (2022-01 – Present)

• Evaluated Danish AI-generated content for grammar, fluency, coherence, factual accuracy, and cultural appropriateness.
• Performed detailed annotation and labeling of linguistic datasets used for machine learning and natural language processing models.
• Reviewed chatbot and conversational AI outputs to improve response quality and user experience.
• Conducted Danish language quality assurance for AI training datasets.
• Assisted AI engineers by providing linguistic insights and error categorization.
• Worked on prompt-response evaluation tasks for large language models.
• Verified contextual meaning and semantic consistency across translated and AI-generated content.
• Maintained high annotation accuracy while meeting daily productivity targets.
• Participated in AI safety and content moderation review tasks.

Danish Translator & Proofreader at Scandinavian Localization Group (2019-03 – 2021-12)

• Translated English content into natural and culturally accurate Danish.
• Proofread and edited translated documents for grammar, terminology, tone, and consistency.
• Worked on website localization, mobile applications, AI prompts, marketing materials, and technical documents.
• Conducted linguistic quality checks on machine-translated content.
• Collaborated with project managers and international clients to ensure project success.
• Managed terminology databases and style guides.

Danish Transcription & Data Labeling Specialist at AI DataTech Europe (2017-06 – 2019-02)

• Transcribed Danish audio recordings with high accuracy and proper formatting.
• Labeled and categorized speech and text datasets for AI training purposes.
• Evaluated audio quality and speaker clarity.
• Annotated speech recognition datasets and conversational interactions.
• Reviewed transcription outputs for quality assurance.
• Handled sensitive and confidential linguistic data securely.

Master of Arts in Linguistics and Language Technology – University of Copenhagen (2015 – 2017)

Bachelor of Arts in Danish Language and Communication – Aarhus University (2011 – 2015)