Language Lead - Hindi (Contract)

Cartesia · RemoteRemotolead

En corto

▸Líder lingüístico de hindi para inteligencia artificial de voz, con responsabilidad total en calidad y evaluación.
▸Trabajo diario: revisar audio, guías, resolver dudas de anotadores, auditar datos y mejorar calidad del producto.
▸Eres el experto único en hindi para el equipo, trabajando de forma independiente con apoyo en horarios de EE.UU.

All guidelines, feedback, reports, and team communication are in English.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Dominio nativo del hindi hablado en la India.
✓Experiencia en anotación de datos, transcripción o aseguramiento de calidad lingüística.
✓Formación sólida en lingüística con aplicación en fonética, prosodia e intonación.
✓Capacidad para escribir instrucciones claras y retroalimentación estructurada en inglés.
✓Experiencia con métricas y datos: acuerdo entre evaluadores, hojas de cálculo, informes.
✓Capacidad para trabajar de forma autónoma y gestionar proyectos lingüísticos.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Human Evals ManagerAudio filesRubricAnnotation guidelinesQA reportsCalibration meetingsOffice hoursProduction audioDataset auditsStructured feedback templates

¿A quién escribirle en Cartesia?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Cartesia Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. Overview We are seeking native-level Hindi speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to Hindi. This is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language. This is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support. About the Engagement You will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include: 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. Commitment Roughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected. Requirements 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.

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