Data Annotator

Innodata Inc.

Join Innodata Inc. as a Data Annotator to improve AI systems by reviewing and creating language data at a pay rate of $4 per hour.

Last checked on June 10, 2026. We may earn a commission when you click through.

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Consider this role if you seek entry-level experience in data annotation, but be aware of the pay scale.

✓ Entry-level opportunity ✓ Gain experience in AI and data science ✓ Flexible daily time commitment
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Data Annotator

Innodata Inc.

Updated 2 months ago
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Surat

Consider this role if you seek entry-level experience in data annotation, but be aware of the pay scale.

About this role

Join Innodata Inc. as a Data Annotator to improve AI systems by reviewing and creating language data at a pay rate of $4 per hour.

About the Company

Innodata Inc. specializes in data services, focusing on enhancing AI systems through meticulous data annotation.

Key Highlights

  • Minimum daily time commitment required
  • Work on improving AI language models
  • Remote work not available
  • Detail-oriented tasks

💡 Honest Take: This position is suitable for those keen on AI and data but offers low pay for the required effort.

Pros

  • Entry-level opportunity
  • Gain experience in AI and data science
  • Flexible daily time commitment

Cons

  • Low pay rate of $4 per hour
  • Remote work not available
  • Potentially monotonous tasks

Best For: This role suits detail-oriented individuals interested in AI development.

Watch Out: The hourly pay may not meet expectations for many job seekers in this field.

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What Customers Say

Feedback from workers suggests that while the role provides valuable experience, the low pay and repetitive tasks are common concerns.

Expert Review

At $4 per hour, the compensation for the Data Annotator role at Innodata Inc. is notably low compared to industry standards. It may appeal to those seeking entry-level experience or flexibility, but potential applicants should weigh their financial needs carefully.

The role involves reviewing and creating language data that contributes to the training of large language models. This is crucial work but can be repetitive and may not provide the stimulating environment some candidates desire.

Applicants should also note that the position is not remote, which could limit accessibility for those outside Surat. While the minimum time commitment allows for some flexibility, the lack of remote options for many.

Overall, this job a stepping stone for individuals eager to enter the AI space but may not be sustainable long-term for those seeking better pay and working conditions. Exploring other roles in data annotation or related fields might yield better compensation and job satisfaction.

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