Generative AI Analyst | Turkish (Turkey)
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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
Skills
As published by lever · 10 questions · 3 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Other website
Pick from a list (7)
- In what country were you born? optional
- In what country do you currently live? optional
- How many years have you lived in your current country? (Please choose one) optional
- What is your current state, province, or equivalent region?
- What is your level of competency in English: optional
- Are you available to work full-time (40 hours/week)?
- How many years of experience do you have in multimedia annotation, multimodal data labeling, computer vision labeling, content QA, or a related field?
Written answers (3)
- Describe your experience creating prompts and responses for AI/LLM systems. What types of tasks or domains have you worked on?
- Have you contributed to data labeling or annotation projects? Please describe your role and scope.
- What tools or platforms have you used for data annotation, QA, or LLM-related work?