Remote Danish Generative AI Analyst — 4-Week Freelance

Welocalize; Odense; On-site; DKK 195,000 - 231,000; Full time

Benefits offered by this job

Limitless Flexibility: Project-based;

Limitless Growth: AI/LLM workshops

Limitless Support: Global contributor

Real Impact: Data professionals in AI

Job summary

Welocalize is seeking a Generative AI Analyst - Danish (Denmark) for remote freelance work. You will review and annotate AI-generated content across languages and media, ensuring high quality and adherence to guidelines.

The role emphasizes attention to detail, independence, and the ability to work with multilingual data in a fully remote setup. Ideal candidates have native Danish skills, strong English writing, and experience in data labeling, QA, or related fields.

Qualifications

• Native-level proficiency in Danish (Denmark).
• Strong written communication skills in English.
• Experience in annotation, content review, quality assurance, or data operations.

Responsibilities

• Review, evaluate, and annotate AI-generated content across text, images, audio, and video.
• Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines.
• Identify edge cases, inconsistencies, and opportunities for improvement.
• Contribute to the development of high-quality datasets used to train advanced AI models.
• Participate in calibration and quality alignment activities.
• Provide feedback to help improve workflows and annotation guidelines.

Skills

Danish

English proficiency

Annotation

Quality assurance

Data labeling

Localization

Independence

Multilingual content

Job description

Welocalize is seeking a Generative AI Analyst - Danish (Denmark) for remote freelance work. You will review and annotate AI-generated content across languages and media, ensuring high quality and adherence to guidelines.

The role emphasizes attention to detail, independence, and the ability to work with multilingual data in a fully remote setup. Ideal candidates have native Danish skills, strong English writing, and experience in data labeling, QA, or related fields.