Italian AI Training Data QA Lead for Localization
Listing checked September 4, 2026 · pay as published by SME Careers
Overview
Remote, hourly contractor role guiding quality, consistency, and trainer performance across Italian AI training projects. You will review AI-generated Italian content and trainer outputs, assessing alignment with project guidelines and LLM evaluation rubrics. Provide precise written feedback and ensure contributors follow established Italian language guidelines. Document improvements, maintain style guides and onboarding materials to raise translation quality.
What You'll Do8
- 1Spot-check Italian content for accuracy, tone, and cultural context; flag issues and deliver written feedback via DMs.
- 2Share guidelines and project updates with trainers and QAs on Discord; keep teams aligned on workflow and quality expectations.
- 3Answer questions about Italian grammar, punctuation, register, and terminology to support accurate translations.
- 4DM inactive contributors to re-engage them, track follow-ups, and flag availability gaps.
- 5Create and maintain Italian documentation, such as style guides, trackers, FAQs, onboarding materials, and examples.
- 6Lead onboarding and training sessions for Italian contributors.
- 7Apply Italian language guidelines consistently across tasks and reviews.
- 8Identify recurring quality gaps and propose improvements to QA workflows.
Requirements10
- 1Bachelor’s or Master’s degree in Italian, linguistics, translation, communications, English, education, QA, or a related field.
- 2Native or near-native Italian proficiency with strong reading and writing skills.
- 3Strong English proficiency to follow project guidelines and communicate with teams.
- 43+ years of professional experience in Italian writing, editing, translation, localization, content QA, AI training, annotation, or related workflows.
- 5Solid knowledge of Italian grammar, spelling, punctuation, accents, gender/number agreement, verb moods, tone, and cultural context.
- 6Ability to evaluate Italian content against rubrics and identify issues such as mistranslation, unnatural phrasing, incorrect subjunctive usage, or ambiguous terminology.
- 7Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
- 8Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- 9Highly detail-oriented and organized; able to maintain style guides, FAQs, trackers, onboarding materials, and documentation.
- 10Experience with AI training, data annotation, LLM evaluation, prompt/response evaluation, or rubric-based LLM QA is a strong plus.
Who Should Apply
Ideal candidates bring 3+ years in Italian language QA, localization, or AI training leadership. They demonstrate native or near-native Italian with strong reading and writing, plus solid English for cross-team collaboration. They excel at mentoring remote trainers, maintaining rubrics, and producing clear documentation. This role is less suitable for applicants without fluent Italian or without experience with AI training data workflows.
Salary Insight
Pay rate: $45/hr. This hourly level aligns with mid-senior Italian QA leadership in remote contractor projects.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
up to $45/hr
Most AI Training roles pay $31–$95 per hour. This role's pay falls inside that range.
Based on 1,005 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,143
- Listed in last 30 days
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- 99%
Hiring most right now: micro1 (308) · SME Careers (253) · AfterQuery (135)
Most requested skills · share of roles
- ai training14%
- ai evaluation12%
- llm evaluation11%
- data annotation10%
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Compensation
Up to $45/hr
Required Skills
Application Tip
Provide a concrete example of an Italian QA rubric you developed and note how it improved consistency across Italian content across projects.
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