AI Training Roles

SME Careers

Italian Quality Assurance Lead (QAL)

Up to $45/hr as listed

Listed pay
Up to $45/hr as listed
Languages
Italian, English
Where
Italy
Type
Contract, remote
Posted on SME Careers
First seen here
9 October 2026

Summary

In this hourly, remote contractor role, you will work as an Italian Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Italian AI training projects. You...

From the SME Careers listing

In this hourly, remote contractor role, you will work as an Italian Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Italian AI training projects. You will review AI-generated Italian content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Italian quality leadership will directly help improve the world’s premier AI models by ensuring that Italian training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Important:

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Responsibilities

  • Spot-check Italian items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
  • Update trainers/QAs on Discord about guidelines, project changes, workflow updates, and quality expectations.
  • Respond to questions around Italian grammar, accents, register, verb moods, translation fidelity, terminology, and cultural context.
  • DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
  • Create and maintain Italian documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials.
  • Run onboarding/training calls for Italian contributors.
  • Ensure Italian language guidelines are applied consistently.
  • Identify recurring quality gaps and improve QA workflows.

Requirements

  • Bachelor’s or Master’s degree in Italian, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
  • Native or near-native Italian proficiency with strong reading and writing skills.
  • Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
  • 3+ years of professional experience in Italian writing, editing, translation, localization, content QA, AI training, education, annotation, or related workflows.
  • Strong understanding of Italian grammar, spelling conventions, punctuation, accents, gender/number agreement, verb moods, tone, register, and cultural context.
  • Ability to evaluate Italian content against rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect subjunctive usage, hallucinated claims, ambiguity, or inconsistent terminology.
  • Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
  • Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
  • Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and documentation.
  • Experience with AI training, data annotation, LLM evaluation, prompt/response evaluation, or rubric-based LLM QA is a strong plus.

Text above is the platform's own listing, shown as published. Check the details on SME Careers before applying.

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