Danish Language Expert

SME Careers; Denmark; Remote; DKK 248,000 - 413,000; Part time

Job summary

SME Careers is seeking a Danish Language Specialist to review and rewrite AI-generated Danish content. You will assess accuracy, fluency, grammar, tone, and cultural appropriateness, providing precise feedback and high-quality rewrites.

The role is hourly, remote, and contract-based, offering exposure to multiple domains and guidelines in English. You will work across time zones to deliver consistent, high-quality language outputs.

Qualifications

• Bachelor's degree in linguistics, Danish/English literature, communications, journalism, translation, or related field is required or equivalent experience.
• Native or near-native Danish proficiency (reading and writing).
• Strong professional English (C1) to provide feedback in English.

Responsibilities

• Develop AI training content by creating prompts and gold-standard Danish answers across domains.
• Evaluate and rank AI outputs to improve fluency, tone, and cultural accuracy.
• Detect unsafe or misleading content and validate reliability across use cases.

Skills

Danish language

English proficiency

Attention to detail

Quality assurance

Education

Bachelor's degree in Linguistics or 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.