Generative AI Analyst | Turkish (Turkey)
WelocalizeLanguagesFirst seen 9 Oct 2026
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Posted on Welocalize First seen 9 Oct 2026Checked 12 Oct 2026
From the Welocalize listing
About the Role
Are you passionate about language, technology, and data quality? Join our global community of AI specialists and contribute to the development of next-generation Generative AI systems used by millions of people worldwide.
We are looking for detail-oriented professionals with experience in annotation, content review, quality assurance, or data operations to support multilingual and multimodal AI projects.
Project Details
- Job Title: Generative AI Analyst - Turkish
- Location: Remote, Turkey
- Commitment: 4 weeks
- Employment Type: Freelance Contract
- Pay Rate: $5/hour
What You’ll Do
- Review, evaluate, and annotate AI-generated content across text, images, audio, and video
- Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines
- Identify edge cases, inconsistencies, and opportunities for improvement
- Contribute to the development of high-quality datasets used to train advanced AI models
- Participate in calibration and quality alignment activities
- Provide feedback to help improve workflows and annotation guidelines
Requirements:
- Native-level proficiency in Turkish
- Strong written communication skills in English
- Excellent attention to detail and analytical thinking
- Experience in annotation, content review, quality assurance, data labeling, localization, or related fields
- Ability to work independently and follow detailed guidelines
- Experience working with multilingual, multimedia, or AI-related content is highly preferred
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
- Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
- 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.
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