Italian QA Annotator — C1 Italian, B2 English

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Creating an OpenTrain account is free, and the platform connects contributors with projects that shape how AI systems learn from human examples.

Why AI training work matters

AI training (also called data labeling or annotation) is the human side of how modern AI learns. People prepare, review, and score examples — from text to images to audio — that teach models to produce safer, more accurate outputs. These roles are highly flexible, often remote, and a fast-growing way to work in tech.

The role

You will work as a project-based contractor reviewing Italian-language data and AI outputs for quality, correctness, and alignment with guidelines. This is remote, part-time work with flexible scheduling, expected to be less than 20 hours per week.

Tasks are performed in web-based labeling tools and focus on text evaluation and generation review; you should be prepared to encounter and assess sensitive or safety-related content occasionally.

• Employment type: Contractor, Part-time
• Hours: Less than 20 hours/week, flexible
• Pay: USD 17 per hour (pay-per-hour)
• Location: Must reside in Italy

What you'll do day-to-day

Your day-to-day work centers on auditing and improving labeled Italian data and model outputs. You will apply detailed rubrics, correct mistakes, and write concise reviewer notes that help teams improve guidelines and model behavior.

• Audit completed labels for correctness and guideline compliance
• Score and rate AI-generated Italian text using evaluation rubrics
• Correct labeling errors and classify text types and intent
• Tag entities and sentiment where required
• Write clear, structured reviewer notes and suggest workflow or guideline improvements

Requirements

Candidates must meet all of the following requirements. These are strict project prerequisites and will be verified during onboarding.

• Current residence in Italy (required)
• Native or C1-level 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
• Strong written communication and ability to give clear, constructive feedback 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 fits intermediate contributors with proven annotation or QA experience who want flexible, part-time contract work. Ideal applicants are detail-oriented, communicative in writing, and confident making consistent judgments against written guidelines.

• Experienced annotators, labelers, or QA reviewers with Italian language expertise
• People seeking flexible, remote work under 20 hours/week
• Applicants comfortable documenting edge cases and suggesting guideline improvements

How the project works

Projects use web-based labeling software (specified as OTHER in this listing). You will receive project guidelines and training material and complete tasks in the platform. Work is task- or hour-based depending on the project; this posting is paid per hour.

Because this is contract work, you set your own schedule within project deadlines. You may be asked to complete short qualification tests and periodic calibration exercises to ensure consistent scoring.

• Onboarding includes guideline review and a qualification check
• Work in browser-based annotation tools provided by the project
• Expect occasional calibration or feedback cycles to align scoring

How to apply

If you meet the requirements and are interested, create an OpenTrain profile (free) and submit your application for this project. Include your language levels, relevant annotation or QA experience, and availability for part-time contract work.

Responses typically include a short qualification review; successful candidates are invited to project-specific onboarding and begin work once cleared.

• Prepare a brief summary of your annotation/QA experience and language proficiency
• Indicate your weekly availability (under 20 hours) and confirmation of Italy residence
• Applications reviewed on a rolling basis