OpenTrain AI is looking for a Danish-speaking professional to join their growing network of AI trainers. In this fully remote, part-time contractor role, you will work with Turing to help improve large language models by analyzing and annotating Danish-language content — no prior AI experience required, just strong bilingual skills and analytical thinking.
About OpenTrain
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow freelance careers teaching AI by consolidating opportunities, building a unified training portfolio, and giving contributors tools to track and apply for projects.
Why AI training matters
AI training (also called data labeling or human feedback work) is the human side of building modern models. Contributors read, rate, rewrite, translate, and annotate examples that teach models how to understand language and make correct decisions.
This role places you on the cutting edge of model behavior: your summaries, claim checks, and annotated answers directly shape how systems respond to Danish content.
The role
OpenTrain is hiring a Danish Content Analysis AI Trainer to improve large language models by reading, summarizing, and breaking down long content into logical blocks, researching and validating claims, and producing corrected answers with clear explanations.
This is a remote contractor, part-time role supporting Turing through OpenTrain. The position is entry level but requires strong analytical thinking and bilingual fluency in Danish and English.
- Employment type: Contractor, Part-time
- Work type: Remote, worldwide
- Company/client: Turing (via OpenTrain)
- Data type: Text; label types include text summarization, question answering, and evaluation/rating
What you'll do
You will convert long or complex Danish-language content into concise logical pieces, research online sources to verify factual statements, and create corrected answers with step-by-step explanations suitable for model training.
You will also provide structured feedback and detailed annotations that help models learn correct reasoning and response style.
- Read and summarize complex Danish content into smaller logical blocks
- Research claims online and validate factual statements with clear sources
- Create analytical scenarios and provide corrected answers with explanations
- Annotate responses and give constructive feedback to improve model behavior
- Use Excel or Google Suite to organize analysis and track work
Requirements
The role requires fluency in Danish and strong English comprehension, plus experience with structured review, editing, research, or similar tasks. Candidates must be comfortable producing clear, professional written explanations and using basic spreadsheet tools.
- Fluent in Danish and English (reading and writing)
- Strong analytical thinking, logical reasoning, and basic arithmetic skills
- Experience providing feedback, annotations, or structured review
- Professional writing, research, editing, translating, or related background
- Comfort using Excel and Google Suite for organization and analysis
Helpful background
Applicants with undergraduate study or degrees in Engineering, Literature, Journalism, Communications, Arts, Statistics, or related fields will find their skills applicable. Relevant prior roles include business analyst, research analyst, copywriter, journalist, technical writer, editor, or translator.
- Relevant degrees or coursework are a plus but not required
- Experience in analysis-heavy or language-focused roles is helpful
Schedule, pay, and logistics
This is a contractor assignment with flexible hours. The project expects 20+ hours per week and prefers up to 40 hours/week when available. You should be able to overlap with US Pacific time (UTC-8) roughly 2 to 5 hours per day.
You must have a reliable desktop or laptop and stable internet. The project uses general text-labeling workflows and a labeling platform listed as OTHER in the brief; specific tooling and onboarding will be provided when you begin.
- Minimum expected time: 20+ hours/week; up to 40 hours/week preferred
- Schedule: Remote with daily overlap of ~2–5 hours in UTC-8 window
- Equipment: Reliable desktop/laptop and internet connection
- Tooling: Text annotation workflows; labeling software specified as OTHER
How to apply
Create or sign in to your OpenTrain account to apply. Your application should highlight your Danish and English fluency, examples of structured feedback or annotation work, and any relevant writing or analytical experience.
OpenTrain makes it easy to build a training portfolio and apply quickly; if selected you will receive project-specific onboarding and instructions for the labeling workflow.
- Prepare examples of written work, annotations, or analysis if available
- Be ready to demonstrate reading comprehension and logical reasoning
- OpenTrain account creation is free and required to apply
