About the Role
This position involves enhancing the quality of Telugu language content used to train artificial intelligence models, ensuring linguistic accuracy and contextual relevance through data review and annotation tasks.
Responsibilities
- Review and correct Telugu text generated by AI systems
- Ensure translations maintain natural flow and cultural appropriateness
- Label linguistic data according to project-specific guidelines
- Identify inconsistencies in grammar, tone, or style
- Collaborate with team leads to resolve ambiguous language cases
- Follow detailed instructions for data formatting and structure
- Maintain high accuracy standards across assigned tasks
- Provide feedback on ambiguous or problematic source content
- Adapt to evolving project requirements and workflows
- Work efficiently within set timeframes to meet production goals
- Use annotation tools to tag parts of speech or semantic elements
- Validate translations for meaning and context preservation
- Flag content that may be sensitive or inappropriate
- Participate in training sessions to learn new project rules
- Report technical issues with the work platform promptly
- Contribute to improving data quality benchmarks
- Handle text across various domains such as technology, healthcare, and e-commerce
- Ensure consistency in terminology across documents
- Support the development of language-specific AI models
- Engage in peer review processes when required
- Track progress and communicate challenges to project coordinators
- Uphold confidentiality of project materials
- Stay updated on linguistic trends in modern Telugu usage
- Apply language expertise to improve machine learning outputs
- Assist in testing new AI-generated content for fluency
Compensation
Competitive hourly rate
Work Arrangement
Remote
Team
Collaborative, global team focused on AI language data
Project Duration
Initial assignment expected to last several months with possible extension based on performance and demand
Time Commitment
Approximately 20 hours per week with flexible scheduling available
Not applicable
