Hindi Language Lead for AI Voice QA and Data

Cartesia; San Francisco (CA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health Insurance

Parental Leave

401(k)

Commuter Allowance

Flexible PTO

Meals & Snacks

In-office collaboration

Job summary

Cartesia seeks a native-level Hindi language lead to own end-to-end language resources for voice AI. You’ll manage annotation quality, audit data, monitor product performance, and execute linguistics-driven projects with deep attention to detail.

You will coordinate with the Human Evals Manager, audit datasets, train annotators, and develop onboarding resources. This is a 1099 contractor role with in-office collaboration across SF, London, and Bangalore.

Qualifications

• Native-level proficiency in Hindi as spoken in Hindi.
• Experience with data annotation, transcription, or language quality assurance.
• Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines.
• Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English.
• Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators.
• Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates.
• Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight.

Responsibilities

• Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel.
• Cascade new feedback, instructions, or rubric updates to annotators working on your projects.
• Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric.
• Prepare written quality assessments for annotators with specific examples and recommendations.
• Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language.
• Update or expand sections of the annotation guidelines when you find gaps or edge cases.
• Prep and run calibration meetings with annotators.
• Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time.
• Develop onboarding materials and resources for new annotators.
• Write QA reports on annotation quality and calibration outcomes.
• Review production audio in your language and flag quality issues to the team.
• Investigate language-specific issues reported by customers and identify root causes.
• Audit datasets for linguistic accuracy, completeness, and consistency.

Skills

Hindi language proficiency

Linguistics background

Data annotation experience

Written English proficiency

Self-directed

Actionable feedback delivery

Education

Linguistics or related field

Job description

Cartesia seeks a native-level Hindi language lead to own end-to-end language resources for voice AI. You’ll manage annotation quality, audit data, monitor product performance, and execute linguistics-driven projects with deep attention to detail.

You will coordinate with the Human Evals Manager, audit datasets, train annotators, and develop onboarding resources. This is a 1099 contractor role with in-office collaboration across SF, London, and Bangalore.