Generative AI Content Analyst | Ukrainian (Poland)
WelocalizeLanguagesFirst seen 9 Oct 2026
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Posted on Welocalize First seen 9 Oct 2026Checked 12 Oct 2026
From the Welocalize listing
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
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.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute, fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required, just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry, while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan, it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Text above is the platform's own listing, shown as published. Check the details on Welocalize before applying.
Prepare for the assessment
Practice questions and what each platform says about its screening for this kind of role:
Terms in this listing
- Quality check: Any review of your work by a reviewer, an automated test or a golden set. Many projects use quality scores to decide who keeps getting tasks.
- Guidelines: The project's written instructions that define how to do a task and how to judge answers. On most projects they take precedence over personal preference.
- Edge case: An unusual item the guidelines do not clearly cover. Projects usually ask you to flag it rather than guess.
- Calibration: Exercises where raters do the same tasks and compare results with the expected answers, so everyone applies the guidelines the same way.
- Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
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