About the Role
The role involves refining AI-driven language solutions, supporting neural machine translation systems, and ensuring linguistic accuracy through model evaluation and feedback.
Responsibilities
- Improve machine learning models using linguistic expertise in Hungarian
- Evaluate and correct outputs from neural machine translation systems
- Ensure translations maintain context, tone, and cultural relevance
- Collaborate with engineers to refine AI language processing pipelines
- Identify patterns in model errors and suggest improvements
- Support development of multilingual AI systems with a focus on accuracy
- Review generated content for fluency and grammatical correctness
- Provide feedback to enhance model training data quality
- Work with natural language processing tools and platforms
- Maintain consistency in terminology across translated content
- Assist in validating language-specific model behavior
- Contribute to linguistic guidelines for AI training
- Monitor system performance across different language tasks
- Participate in testing new AI features before deployment
- Ensure compliance with language quality benchmarks
- Communicate findings to technical teams clearly and effectively
- Adapt to evolving AI model updates and system changes
- Handle large volumes of text data efficiently
- Support quality assurance processes for language outputs
- Maintain confidentiality of project-related information
Compensation
Competitive compensation package offered.
Work Arrangement
Remote
Team
Collaborative team environment focused on AI and language technology development.
Language Requirements
- Must be a native speaker of Hungarian with excellent writing skills
- Professional working proficiency in English required
Technology Exposure
- Exposure to AI-driven translation platforms is beneficial
- Experience with machine learning interfaces is a plus
Does not sponsor visas for this position
