Danish Language Expert

SME Careers; Region Sjælland; On-site; DKK 355,000 - 577,000; Full time

Job summary

SME Careers is seeking a Danish Language Specialist to review AI-generated Danish content and craft high‑quality Danish reference material. This is an hourly, remote contractor role.

You will assess outputs for accuracy, fluency, tone, cultural appropriateness, and adherence to prompts; provide precise feedback in English and produce rewrites to improve Danish writing for global AI models.

Qualifications

• Bachelor’s degree or higher in a language-related field.
• Native Danish, fluent English (C1) writing/editing.
• 3+ years in language-focused roles (writing, editing, localization, QA).
• Deep understanding of Danish grammar, spelling, punctuation, and style.
• Able to explain why something is wrong and how to fix it.
• Experience with AI data training/annotation is preferred.

Responsibilities

• Develop AI Training Content: Create prompts and gold-standard Danish answers across domains.
• Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, tone, and cultural appropriateness.
• Ensure Model Integrity: Detect unsafe/misleading content, factual hallucinations, bias; validate reliability across use cases.

Skills

Native Danish

English C1

3+ years exp

Danish grammar

Style & tone

AI training exp

Remote work

Education

Bachelor’s degree in Linguistics/Language-related field

Job description

In this hourly, remote contractor role, you will work as a Danish Language Specialist (SME) to review AI-generated Danish content and/or create high-quality Danish reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Danish writing; and rate and compare multiple AI responses based on correctness and overall quality.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Danish expertise directly helps improve the world’s premier AI models by making their Danish language output more natural, reliable, culturally accurate, and clearly written.

Key Responsibilities

• Develop AI Training Content: Create prompts and gold-standard Danish answers across multiple domains (general knowledge, customer support, education, conversational writing).
• Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness.
• Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases.

Your Profile

• Bachelor’s degree (or higher) in Linguistics, Danish/English Literature, Communications, Journalism, Translation, or a related field (or equivalent professional experience).
• Native or near-native Danish proficiency (reading and writing required).
• Strong professional proficiency in English (minimum C1) to follow guidelines and provide detailed feedback in English.
• 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work.
• Deep understanding of Danish grammar, spelling conventions, punctuation, and style—able to explain why something is wrong and how to fix it.
• Comfortable handling multiple registers (formal/informal), Danish business writing norms, and audience adaptation (Denmark vs global users).
• High attention to detail when spotting subtle meaning shifts, awkward literal translations, hallucinated claims, or culturally mismatched phrasing.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred.