The work
You will help improve large language models by reviewing Italian and English content, checking claims, and explaining what makes an answer correct or useful. The work combines research, analysis, writing, and careful evaluation of model responses.
The listing title uses Business Analyst (Italian Language), while the duties focus on multilingual LLM content evaluation. Review the duties and qualifications before applying.
- Break large Italian and English materials into clear, logical sections.
- Research information online and validate claims for accuracy.
- Answer questions involving analysis, data interpretation, logic, and basic arithmetic.
- Create scenarios and examples that help language models improve.
- Write correct answers, explanations, constructive feedback, and detailed annotations.
- Use creative and lateral thinking when problems are unclear or difficult.
What it takes
This is a remote contractor assignment with flexible working hours. Relevant writing or analytical experience may help, but the role is listed as entry level and related experience can be considered in place of some formal study.
You need a desktop or laptop with a reliable internet connection and the ability to work independently.
- Professional fluency in Italian and English.
- At least 20 hours per week.
- Strong research, analytical, critical-thinking, and communication skills.
- Ability to interpret data, reason logically, and explain decisions clearly.
- Professional writing experience in business analysis, research, journalism, technical writing, editing, translation, or a related area is helpful.
- Familiarity with Excel and Google Suite is helpful.
- A bachelor's degree or undergraduate study in engineering, literature, journalism, communications, arts, statistics, or a related field is helpful.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind modern artificial intelligence. Contributors review text, write examples, and give feedback so models can produce more accurate and useful answers.