Italian QA Annotator Quality Reviewer
Review and score Italian-language AI outputs and text data for quality, correctness, and guideline alignment. This flexible contract role offers less than 20 hours per week at $17 per hour.
Generative AI & RLHF
$17/hr
Compensation
1 country
Eligibility
Intermediate
Experience
Nov 12, 2025
Posted
Open to applicants in
About OpenTrain
OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps people discover opportunities to teach and improve AI, build their profiles, and apply in minutes.
- Remote, project-based contract work
- Flexible schedule with less than 20 hours per week
- Free OpenTrain account and application process
About AI Training and Data Quality Work
AI training is the human side of building modern artificial intelligence. Contributors review examples, evaluate model responses, classify text, and provide structured feedback so AI systems can become more accurate, useful, and aligned with guidelines.
- Work directly with cutting-edge generative AI projects
- Use language judgment, attention to detail, and consistent evaluation
- Help improve how AI systems respond to Italian-language content
The Role
As an Italian QA Annotator and Quality Reviewer, you will review and score Italian-language data and AI outputs for quality, correctness, and alignment with project guidelines. You will audit completed labels, identify issues, and provide clear feedback that supports consistent, high-quality annotation.
This is intermediate-level, project-based contractor work for applicants currently residing in Italy. The role is part-time, with flexible hours and a pay rate of $17 USD per hour.
- Employment type: Contractor and part-time
- Pay: $17 USD per hour
- Time requirement: Less than 20 hours per week
- Work location: Italy
What You'll Do
You will apply detailed written guidelines and evaluation rubrics to Italian text and generative AI content. Your reviews will help identify errors, improve labeling consistency, and surface opportunities to strengthen project workflows.
- Review and score Italian-language data and AI outputs
- Audit completed labels and correct annotation errors
- Classify text and tag entities and sentiment
- Write concise, structured reviewer notes
- Provide clear, constructive feedback in Italian
- Suggest improvements to guidelines and workflows
- Review occasional sensitive or safety-related content
Requirements
You should have proven experience in data annotation, labeling, model evaluation, or quality assurance. Success in this role requires careful attention to detail, strong written communication, and the ability to apply detailed instructions consistently across many examples.
- Current residence in Italy
- Native or C1 proficiency in Italian
- B2 English proficiency or higher
- At least one year of 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
- Comfort reviewing potentially sensitive or safety-related content
- Reliable computer and stable internet for web-based tools
- Bachelor’s degree or higher preferred
Who Should Apply
This opportunity may suit an experienced annotator, QA reviewer, language professional, or AI evaluator who can make careful judgments in Italian and explain decisions clearly in writing. It is designed for someone comfortable working independently within detailed guidelines and flexible project-based hours.
- Italian-speaking QA professionals and data annotators
- Reviewers with experience evaluating AI or language data
- Detail-oriented applicants who value consistent quality
- Candidates seeking flexible, part-time work in AI training
How to Apply
Create a free OpenTrain account and apply through OpenTrain AI. Your profile and application should reflect your Italian and English proficiency, relevant annotation or QA experience, and ability to provide structured written feedback.
- Confirm that you currently reside in Italy
- Highlight at least one year of relevant annotation, evaluation, labeling, or QA experience
- Show your Italian and English language proficiency
- Be prepared to work with web-based tools and detailed project guidelines
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