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Hindi Language Expert - Data Annotator (Remote Contract)

Crossing Hurdles

Remote · Contrato

Sé el primero en postularte

Experiencia
Cualquier
Salario
USD 15 – USD 20 / hour
Vacantes
1
Al corriente
Hace 9 horas
Modo de trabajo
Trabajar desde casa
Reanudar
Se requiere solicitud

Descripción del trabajo

Position Overview

We are looking for a Hindi Language Expert to join us on a contract basis, working remotely to contribute to AI language model enhancements. This role involves recording and annotating Hindi speech data to support advanced AI training efforts.

Key Responsibilities

  • Produce high-quality audio recordings in native Hindi to support AI-driven language model development.
  • Transcribe and annotate audio data with precision, capturing linguistic nuances and contextual information.
  • Collaborate closely with the client team to offer insights and feedback on the efficiency of AI training processes.
  • Evaluate and refine existing speech datasets to enhance the accuracy of language models.
  • Gather and organize speech data from various real-life scenarios and speakers ensuring diverse data collection.
  • Maintain strict standards for data integrity, consistency, and confidentiality throughout the project.

Qualifications and Requirements

  • Fluency in Hindi with excellent command over both spoken and written language forms.
  • Proven experience in audio transcription and data annotation tasks.
  • Exceptional attention to detail, capable of identifying subtle linguistic features.
  • Strong written and verbal communication abilities.
  • Acquainted with the methodologies and practices involved in speech data collection.

Additional Information

  • Type of engagement: Contract
  • Work Location: Fully remote
  • Time commitment: Flexible, ranging between 10 to 40 hours per week
  • Compensation: $15 to $20 per hour

Application Process

  • Submit your application online.
  • Look out for email communication regarding subsequent steps.
  • Complete the resume assessment and interview stages as part of selection.

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