Dutch Language Expert

Job Title: Dutch Language Expert

Job Type: Part-time, Contract

Location: Remote

Job Summary:

Join our customer's team as a Dutch Language Expert, where you will leverage your exceptional bilingual proficiency in English and Dutch to advance the performance of cutting-edge AI language models. If you're passionate about linguistics, data annotation, and AI-driven projects, this flexible remote role offers meaningful impact and professional growth in a dynamic, collaborative environment.

Key Responsibilities:

• Transcribe, annotate, label, and review textual data in both Dutch and English to train and optimize AI language models.
• Evaluate and ensure the grammatical accuracy, semantic clarity, and cultural appropriateness of bilingual AI responses.
• Collaborate with cross-functional teams to provide feedback on language model outputs and enhance overall quality.
• Conduct linguistic validation and error analysis, identifying areas for improvement in AI-generated content.
• Apply structured quality guidelines to consistently deliver measurable, high-quality results within project timelines.
• Contribute to documentation and knowledge sharing to support continuous improvement in annotation processes.
• Maintain attention to detail while handling large volumes of data in a fast-paced, flexible remote setting.

Required Skills and Qualifications:

• Native or near-native proficiency in both Dutch and English, with excellent written and verbal communication skills.
• Proven experience in data annotation, linguistic validation, or similar language-focused roles.
• Strong knowledge of Dutch grammar, syntax, semantics, and the ability to recognize cultural nuances.
• Background in linguistics or language studies, or equivalent practical experience.
• Meticulous attention to detail and commitment to accuracy in all aspects of linguistic review.
• Ability to work independently, manage flexible schedules, and meet structured deliverable targets.
• Demonstrated interest in AI technologies, language processing, or related fields.

Preferred Qualifications:

• Familiarity with annotation tools and quality assurance best practices in language technology.
• Bachelor’s or Master’s degree in Linguistics, Translation, Computational Linguistics, or a related discipline.