Generative AI Content Analyst | Ukrainian (Poland)

Overview

Join a global team shaping next‑generation Generative AI used by millions. We’re seeking detail‑oriented Ukrainianprofessionals based in Polandto review and annotate multilingual and multimodal content, helping train high‑quality AI systems.

Location: Remote, Poland

Contract Type: Freelance (Contract)

Compensation: $10/hour

What You’ll Do

• Review, evaluate, and annotate AI-generated outputs across text, image, audio, and video
• Perform quality checks for accuracy, consistency, and compliance with project guidelines
• Flag edge cases, errors, and areas for improvement in model outputs and instructions
• Create and refine high‑quality datasets to train and validate advanced AI models
• Participate in calibration sessions and quality alignment activities
• Provide clear feedback to improve workflows, tools, and annotation guidelines

Requirements

• Native‑level proficiency in Ukrainian
• Strong written communication skills in English
• Exceptional attention to detail and analytical thinking
• Proven experience in annotation, content review, quality assurance, data labeling, localization, or related fields
• Ability to work independently, follow detailed guidelines, and meet deadlines
• Based in Poland and able to work remotely

Preferred Qualifications

• Experience with multilingual or multimedia content (text, images, audio, video)
• Familiarity with annotation platforms and productivity tools (e.g., task trackers, spreadsheets)
• Background in AI/ML data operations, content moderation, or linguistic QA

What We Offer

• Short-term, focused engagement with immediate impact on real-world AI products
• Flexible remote work within Poland
• Clear guidelines, training materials, and ongoing support from project leads

How to Apply

• Submit your CV (English preferred) highlighting relevant annotation, QA, or localization experience
• Confirm your location (Poland), availability for the 2‑week period, and hourly rate acceptance ($10/hour)
• If available, share examples of previous annotation or QA projects (non-confidential)

Equal Opportunity

We welcome applicants from all backgrounds and are committed to a fair, inclusive selection process.