AI Data Specialist - Marathi

RWS

New Delhi

À distance

INR 431 000 - 614 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Remote work

Résumé du poste

RWS is seeking AI Data Specialists to improve Marathi content for AI systems. This flexible remote role is ideal for students, recent graduates, stay-at-home parents, gig workers, or professionals seeking part-time engagement.

Applicants with ML experience or data QA background are welcome. You will perform data collection, annotation, evaluation, labeling and preprocessing across audio, video, images, or collected data to support ML models.

Qualifications

  • Native-level fluency in Marathi.
  • Fluent or advanced proficiency in English (B2-C2).
  • Experience in machine learning tasks.
  • Experience in data collection and preprocessing.
  • Experience in data evaluation and quality assurance.
  • Experience in data annotation and labeling.

Responsabilités

  • Perform data collection, evaluation, and annotation.
  • Conduct pairwise comparisons.
  • Complete counting tasks.
  • Tag and label objects across content types (audio, video, images, or collected data).

Connaissances

Marathi fluency
English proficiency (B2–C2)
Machine learning experience
Data collection & preprocessing
Data evaluation & QA
Data annotation & labeling

Description du poste

We are looking for AI Data Specialists to support the improvement of AI-generated content in Marathi. This role is ideal for students, recent graduates, stay‑at‑home parents, gig workers, or professionals seeking flexible remote work. Pay: USD 4 per hour

  • Perform data collection, evaluation, and annotation.
  • Conduct pairwise comparisons.
  • Complete counting tasks.
  • Tag and label objects across different content types (audio, video, images, or collected data).
  • Native-level fluency in Marathi.
  • Fluent or advanced proficiency in English (levels B2-C2).
  • Experience in machine learning tasks.
  • Experience in data collection and preprocessing.
  • Experience in data evaluation and quality assurance.
  • Experience in data annotation and labeling.
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