Language Expert (German) (Localization and AI Evaluation)

You will help improve AI systems by creating German content and reviewing model responses. The work combines localization judgment, translation quality review, fact-checking, and structured evaluation of how well responses follow instructions.

The duties and qualifications should be reviewed before applying because the role title and supplied role details use different role labels.

• Create prompts and German responses across different subject areas.
• Evaluate and rank AI responses for accuracy, fluency, relevance, and instruction-following.
• Review reasoning for errors in method, logic, or concepts.
• Write explanations and model solutions that show correct methods.
• Apply German locale conventions, terminology, style guidance, and linguistic quality checks.
• Test outputs for unsupported claims, inaccuracies, bias, and changes in meaning or certainty.

This is a fully remote, part-time contractor role. The listing is marked entry level, and the requirements include professional localization or translation experience.

• Pay: $50 per hour.
• Time: 20 or more hours per week.
• Location: Open to candidates in Austria, Germany, and Switzerland.
• Language: Fluent German and at least C1 English for prompts, source material, and evaluation guidance.
• Education: Bachelor's degree or higher in German translation, linguistics, localization, communications, or a related field.
• Experience: At least five years of professional localization or translation experience.
• Quality methods: Practical knowledge of MQM and LQA, including severity, category, and root-cause analysis.
• Tools: Experience with CAT tools, translation memory, termbases, and automated quality checks.
• Other skills: Strong editorial judgment, fact-checking, documentation, reliable throughput, and responsiveness while working remotely.
• Preferred: Previous AI data training, annotation, or evaluation experience.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that generate and understand text. Contributors create examples and review model outputs, and people with strong language or subject expertise help make those systems more accurate, clear, and useful.