Generative AI Content Analyst | Ukrainian (Poland)

Employer description and requirements

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

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.