Generative AI Content Analyst | Ukrainian (Poland)

Overview

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

Location: Remote, Poland
ContractType: Freelance (Contract)
Compensation: $10/hour

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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.