AI Data Specialist - Kannada
Job description
About the role
You will own the meticulous evaluation and refinement of AI-generated Kannada content to ensure it meets high standards of quality and relevance. This position grants you the responsibility of shaping the direction of AI language tools by providing expert linguistic judgment and cultural insight. You will serve as a critical gatekeeper for data integrity, assessing whether outputs align with the nuances of the Kannada language. Your work will directly influence the safety and performance of AI models that rely on accurate and contextually appropriate data. You will engage in detailed analysis, making decisions about the suitability of content across various media formats. This role requires a disciplined approach to verifying data accuracy and maintaining consistent quality metrics. You will be instrumental in defining best practices for data handling and annotation within the project framework. By contributing your expertise, you help ensure that the AI systems developed are both effective and trustworthy for Kannada speakers.
Key facts
What you'll do
Conduct comprehensive evaluations of AI-generated Kannada text, audio, and video content to determine accuracy and appropriateness.
Perform detailed data annotation and object tagging across diverse content types, including images, audio files, and video materials.
Execute pairwise comparisons between different data sets to assess quality and relevance systematically.
Engage in precise counting tasks to quantify data elements and ensure completeness of datasets.
Collect and preprocess raw data to prepare it for high-level analysis and model training.
Apply rigorous data evaluation and quality assurance methodologies to identify inconsistencies and errors.
Label and categorize content based on specific criteria to support machine learning workflows.
Monitor ongoing data streams to identify patterns that may affect the overall integrity of the training corpus.
Collaborate with cross-functional teams to align data practices with evolving project objectives.
Maintain detailed records of all assessments and modifications for future reference and auditability.
Implement standardized protocols for data handling to ensure consistency across all assigned tasks.
Analyze the context of content to verify that it meets the intended functional and cultural requirements.
Provide structured feedback on data quality to facilitate continuous improvement of annotation processes.
Adapt to shifting project priorities by adjusting focus between data collection, evaluation, and labeling activities as needed.
Requirements
You must possess native-level fluency in Kannada to accurately assess and interpret complex linguistic nuances.
You must demonstrate fluent or advanced proficiency in English at levels B2-C2 to effectively communicate and understand instructions.
You must have the legal right to work in the country specified in the job details or the country from which you are applying.
You must be located in or be a citizen of the region listed under Location, which is specified as New Delhi.
You must be available to commit to a part-time schedule of 10+ hours per week consistently.
You must be able to start the engagement immediately upon acceptance of the terms.
You must own the necessary technology, including reliable internet connectivity and suitable devices, to perform remote work.
You must adhere to strict data security and confidentiality guidelines to protect sensitive information throughout the assignment.
Nice to have
Experience in one or more of the following areas is strongly preferred: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.
Practical notes
The engagement is classified as freelance or contract work.
The schedule is part-time, requiring 10+ hours per week.
The work arrangement is remote, allowing you to work from home.
Payment is structured at a rate of 4 USD per hour, though rates may vary depending on your country of residence.
Timely payments are a priority for the project.
This opportunity is particularly suitable for students, part-timers, and stay-at-home parents seeking flexible income.
There is no specified duration or end date provided for this position at this time.
You are expected to begin work immediately without delay.
You are responsible for ensuring your availability aligns with the flexible work schedule described.
No business travel is required for this role.
No visa sponsorship is provided for this position.
You must manage your own time and deliverables according to project expectations.
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