Polish Team Lead

About this role

As a Polish Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Polish AI training projects. You will review AI-generated Polish 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.

Polish Language QA, LLM Evaluation, Trainer Management, Localization/Translation Quality

Responsibilities

• Quality monitoring: Spot-check Polish items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around Polish wording, grammar, register, translation fidelity, cultural context, terminology, and edge cases.
• Documentation: Create and maintain Polish project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Polish-specific style requirements.

Qualifications

• Bachelor's or Master's degree in Polish, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
• Native or near-native Polish proficiency with strong reading and writing skills.
• 3+ years of professional experience in Polish writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
• Strong understanding of Polish grammar, spelling conventions, punctuation, tone, register, declension, gender agreement, word order, and cultural context.
• Ability to evaluate Polish content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect case usage, hallucinated claims, ambiguity, or inconsistent terminology.