Language Data Quality Reviewer - (Entry-Level / Foundational - L1) - Hindi

1 month, 3 weeks ago
Freelance
Entry Level
Artificial Intelligence and Machine Learning
Volga Partners

Volga Partners

Volga Partners is a technology company that provides innovative solutions and services to clients. With expertise in ML, AI, and crowd management, we deliver high-quality software development, data annotation, content management, data mining, analytics...

Internet Software & Services
51-250

Description

  • Perform structured review of data and content according to client guidelines and workflows.
  • Check grammar, spelling, formatting, clarity, and overall language quality in short-form content.
  • Apply basic annotation, tagging, and labeling tasks to language datasets.
  • Validate, compare, and categorize content against provided instructions and reference materials.
  • Flag errors, inconsistencies, and missing information for correction or escalation.
  • Complete basic transcription and content review tasks as assigned.
  • Maintain accuracy, productivity, quality standards, confidentiality, and professionalism.
  • Incorporate feedback to improve consistency and performance over time.

Requirements

  • Must be able to read and write in Hindi and English.
  • Must have advanced proficiency in Hindi and English with strong written communication skills.
  • Must understand that this is a task-based freelance engagement with irregular and intermittent work availability.
  • Must have a reliable computer or laptop.
  • Must have a stable internet connection.
  • Must be comfortable working independently with minimal supervision.
  • Prior experience in data entry, content review, QA, annotation, or similar work is preferred but not required.
  • Interest in AI, language technology, or data operations is preferred.
  • Must be comfortable with repetitive, high-volume review tasks.

Benefits

  • Flexible remote work that fits around your schedule.
  • Opportunity to gain hands-on experience in AI language data and quality operations.
  • Exposure to real AI and language data projects.
  • Opportunity to build practical skills in annotation, data review, and content quality operations.
  • Potential priority consideration for future opportunities as programs expand.

Interested in this position?

Apply directly on the company website

Apply Now

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