Data Annotator
Innodata Inc.
Innodata is hiring a Data Annotator to support data engineering for leading global tech and financial companies.
Last checked on June 7, 2026. We may earn a commission when you click through.
Innodata offers a solid opportunity for aspiring data annotators, especially those looking to work with top-tier companies.
Innodata offers a solid opportunity for aspiring data annotators, especially those looking to work with top-tier companies.
About this role
Innodata is hiring a Data Annotator to support data engineering for leading global tech and financial companies.
About the Company
Innodata Inc. is a prominent data engineering firm, serving over 2,000 clients across 13 cities globally.
Key Highlights
- ✓ Work with cutting-edge AI technology.
- ✓ Support major tech and financial firms.
- ✓ Join a diverse team in a thriving environment.
- ✓ Opportunities for professional growth.
💡 Honest Take: This position is ideal for individuals interested in data engineering but may lack remote work options.
Pros
- ✓ Exposure to leading AI technologies.
- ✓ Diverse work environment.
- ✓ Potential for career advancement.
Cons
- ✗ Location-specific role with no remote options.
- ✗ Competitive hiring process.
- ✗ Salary details not disclosed.
Best For: Ideal for those eager to grow within a dynamic tech environment.
Watch Out: Candidates should prepare for a competitive selection process and local commuting.
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What Customers Say
Current employees praise the company culture but note the competitive nature of the hiring process.
Expert Review
Innodata's Data Annotator position presents a unique chance to engage with high-profile clients in the tech and finance sectors. This role focuses on data annotation, a critical aspect of AI development. The company's solid reputation, serving 4 out of 5 of the world's largest tech firms, adds significant credibility.
While the position offers promising career advancement opportunities, it requires on-site presence in Lucknow. Applicants should be aware that the hiring process can be competitive, reflecting the company's high standards. The lack of disclosed salary details may also raise questions about compensation expectations.
For individuals passionate about data engineering, this role offers invaluable experience and exposure to state-of-the-art technologies. However, it may not suit those seeking flexible work arrangements, as remote options are not available. Overall, the position is a great stepping stone for anyone looking to make a mark in the data science field.
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