Multilingual LLM Evaluation Analyst (German)

You will review written content and analytical questions used to improve large language models. The work includes research, logical reasoning, data interpretation, answer writing, and detailed feedback.

You will work independently as a remote contractor while communicating clearly in both German and English.

• Read, summarize, and divide longer content into clear logical sections.
• Research claims online and assess whether conclusions are supported by evidence.
• Answer questions about data, trends, logic, and basic arithmetic.
• Create challenging scenarios that help language models learn.
• Find incorrect model responses and provide accurate answers with clear explanations.
• Write constructive feedback and detailed annotations to support model improvement.

The role details do not specify a pay rate. It is an entry-level, part-time contractor assignment with a commitment of at least 20 hours per week.

• Pay: Not specified in the role details.
• Hours: 20 or more hours per week.
• Location: Remote and open worldwide.
• Language: Professional fluency in German and English.
• Equipment: A reliable desktop or laptop and an internet connection.
• Core skills: Research, analysis, logical reasoning, critical thinking, and clear written communication.
• Work style: Able to explain conclusions precisely, handle unfamiliar problems creatively, work independently, and collaborate remotely.
• Helpful background: Business analysis, research, copywriting, journalism, technical writing, editing, or translation.
• Helpful education: A bachelor's degree or undergraduate study in engineering, literature, journalism, communications, arts, statistics, or a related field. Relevant professional experience may substitute.
• Useful tools and knowledge: Excel, Google Suite, data interpretation, basic arithmetic, and evaluating logical arguments.

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

AI training work is the human side of building artificial intelligence. Contributors review examples, write answers, and explain what makes a response accurate or useful so models can improve, and people with strong language or analytical skills are paid for this work.