About the Role
The role involves improving AI-driven language models by producing and validating linguistic data in Hindi. Candidates will work on tasks that support machine learning systems in understanding and generating accurate, contextually appropriate Hindi text.
Responsibilities
- Create and annotate text data in Hindi to train AI models
- Review machine-generated translations for fluency and accuracy
- Ensure linguistic consistency across diverse content types
- Correct syntactic and semantic errors in generated output
- Follow detailed guidelines for data quality and formatting
- Collaborate with team members on language-specific challenges
- Provide feedback on model performance in Hindi
- Maintain high accuracy standards in all data tasks
- Adapt to evolving language patterns and usage
- Identify ambiguities in source or target text
- Support development of bilingual data sets
- Validate translations for naturalness and correctness
- Work on diverse domains including technical, conversational, and formal text
- Flag low-quality or problematic model outputs
- Contribute to improving AI understanding of Hindi grammar and usage
- Use annotation tools to process language data
- Ensure cultural appropriateness of translated content
- Handle sensitive or context-specific language with care
- Meet productivity and quality benchmarks
- Stay updated on project-specific guidelines
Nice to Have
- Background in linguistics or language education
- Prior experience in data annotation for AI
- Work history in translation or localization
- Familiarity with NLP tools or platforms
- Academic training in Hindi language or literature
- Experience with low-resource language challenges
- Knowledge of Hindi script variants
- Exposure to speech-to-text or text-to-speech systems
Compensation
Competitive hourly rate
Work Arrangement
Remote
Team
Collaborative team focused on AI and language technology development
Project Focus
- Work centers on Hindi language data to improve AI fluency and accuracy
- Tasks involve real-world applications of machine learning in language processing
Work Schedule
- Flexible hours with defined weekly commitment
- Workload distributed based on project needs and availability
Not applicable
