Remote Ukrainian Language QA Specialist

AI Trainer Jobs

United States

Remote

USD 17,000 - 28,000

Part time

2 days ago
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Job summary

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, is seeking a Ukrainian Language Specialist (SME) for an hourly remote contractor role. You will review AI-generated Ukrainian content, create high-quality reference content, and provide precise feedback on grammar, tone, and cultural accuracy.

Responsibilities include developing training content, optimizing AI performance, and ensuring model integrity by detecting unsafe or misleading language and fact-checking

Qualifications

  • Bachelor’s degree or equivalent professional experience in linguistics or a language-related field.
  • Native or near-native Ukrainian with strong English (C1+).
  • 3+ years of professional writing, editing, translation, or QA experience.
  • Deep knowledge of Ukrainian grammar, spelling, and style; able to explain fixes.
  • Experience with AI data training, annotation, or rubric-based evaluation preferred.
  • Comfort with formal and informal registers and consistent terminology for product localization.

Responsibilities

  • Create prompts and gold-standard Ukrainian answers across domains.
  • Evaluate and rank AI outputs for fluency, accuracy, tone, and cultural fit.
  • Identify unsafe, biased, or misleading content and validate reliability.

Skills

Grammar & Style
Proofreading
Copyediting
Tone & Register
Cultural context
Translation Quality Review
Localization
Fact-checking
English
Ukrainian

Education

Bachelor’s degree or higher

Job description

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, is seeking a Ukrainian Language Specialist (SME) for an hourly remote contractor role. You will review AI-generated Ukrainian content, create high-quality reference content, and provide precise feedback on grammar, tone, and cultural accuracy.

Responsibilities include developing training content, optimizing AI performance, and ensuring model integrity by detecting unsafe or misleading language and fact-checking

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