Italy-based contract role reviewing and scoring Italian AI outputs — C1+ Italian and B2+ English required. Flexible part-time work (<20 hrs/week) with $17/hr pay; audit labels, tag entities and sentiment, write reviewer notes, and suggest guideline improvements.
Generative AI & RLHF
100% Remote Hourly · $17/hr
$17/hr
Compensation
Worldwide
Eligibility
Intermediate
Experience
Nov 12, 2025
Posted
Open worldwide
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OpenTrain is the #1 platform for people who build careers in AI training and data labeling. We hire and contract contributors to do the human work that helps modern AI systems learn — from annotating text to reviewing model outputs. OpenTrain projects offer flexible, remote-friendly work that helps you gain experience on the cutting edge of AI.
About AI training work
AI training (data annotation, QA, and human evaluation) is the human side of building artificial intelligence. Contributors prepare, review, and score examples that teach models how to write, translate, classify, and behave safely.
This kind of work is ideal for people who want remote, part-time, flexible roles where attention to detail and clear written feedback matter. Many projects require no prior technical degree, though some prefer or pay more for specialists.
The role
We are hiring Italy-based QA Annotators to review Italian-language data and AI outputs for quality, correctness, and alignment with project guidelines. This is project-based contract work with flexible hours (typically less than 20 hours per week).
Employment type: Contractor, Part-time
Expected time: Less than 20 hours/week (flexible)
Pay: $17 USD per hour
Work location: Must reside in Italy
What you'll do
You will audit completed labels and AI-generated text, apply evaluation rubrics, and record scores and reviewer notes. Tasks are text-focused and include classification, tagging, and corrective edits.
Review and score Italian language AI outputs for quality and guideline alignment
Audit and correct completed labels and flag errors
Classify text, tag entities, and annotate sentiment
Write concise, constructive reviewer notes in Italian
Suggest improvements to guidelines and workflows when you spot recurring issues
Work with potentially sensitive or safety-related content following project rules
Requirements
To be considered you must meet the language, location, experience, and technical requirements listed below. We preserve these requirements exactly as stated.
Current residence in Italy (required)
Native or C1 proficiency in Italian (required)
English proficiency of B2 or higher (required)
Minimum 1 year experience in data annotation, labeling, model evaluation, or QA
Ability to follow detailed written guidelines and apply consistent rubrics
Clear, constructive written feedback skills in Italian
Comfortable reviewing potentially sensitive or safety-related content
Reliable computer and stable internet connection for web-based tools
Bachelor’s degree or higher preferred (not required)
Who should apply
This role is a good fit for bilingual Italian speakers with hands-on annotation or QA experience who want flexible, part-time contract work. Ideal applicants are organized, pay close attention to detail, and can explain corrections clearly in writing.
Experienced annotators, QA reviewers, or evaluators with Italian-language expertise
People seeking flexible hours and steady, project-based assignments
Contributors who can handle sensitive content responsibly and follow strict guidelines
How it works / Next steps
OpenTrain hires contributors as contractors on a project basis. Selected applicants typically complete a short onboarding and task-specific instructions before starting. Work is completed through web-based annotation and review tools; you will log hours and submit ratings and notes as required.
Application: submit your profile and experience details through OpenTrain
Onboarding: brief task-specific training and guideline review (project-dependent)
Payment: hourly at $17 USD/hour for time worked on the project
Schedule: choose shifts and tasks to stay under the project’s weekly hour limits (typically <20 hrs/week)
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