About the Role
The role involves improving AI systems by providing high-quality linguistic data and feedback, with a focus on accuracy, consistency, and language-specific nuances in Kazakh.
Responsibilities
- Annotate and label text data in Kazakh for natural language processing tasks
- Evaluate the output of machine learning models for linguistic correctness
- Ensure data consistency and adherence to project-specific guidelines
- Identify and flag ambiguous or problematic language patterns
- Collaborate with team leads to refine annotation standards
- Review translated content for fluency and cultural appropriateness
- Maintain high accuracy and attention to detail in repetitive tasks
- Contribute to the development of language-specific resources
- Follow evolving linguistic guidelines across projects
- Report technical or workflow issues promptly
- Participate in training sessions to stay updated on best practices
- Work within set deadlines while maintaining data quality
- Support quality assurance processes for AI-generated text
- Provide feedback on model performance in real-world contexts
- Assist in validating multilingual data alignment
Nice to Have
- Previous work in data annotation for AI training
- Familiarity with linguistic annotation tools
- Academic background in linguistics or related field
- Experience evaluating machine translation output
- Knowledge of Turkic language features
Compensation
Competitive hourly rate
Work Arrangement
Remote
Team
Collaborative team focused on AI language technologies
Language Requirements
- Must demonstrate native-level proficiency in Kazakh
- Ability to read and write fluently in both Cyrillic and Latin scripts
Project Duration
Initial assignment is time-bound with potential for extension based on performance and project needs
Work Schedule
- Flexible hours within agreed time zones
- Regular availability during project windows required
Technology Setup
- Must have access to a reliable computer and internet connection
- Ability to use browser-based annotation platforms
Not available
