Language Data Scientist
Innodata Inc.
Join Innodata Inc. as a Language Data Scientist to work on improving generative AI systems through dataset design and evaluation.
Last checked on June 11, 2026. We may earn a commission when you click through.
If you're looking to make an impact in AI, this position offers a unique opportunity, but be prepared for a technical challenge.
Language Data Scientist
Innodata Inc.
Updated 14 hours agoYou'll be redirected to ph.talent.com
If you're looking to make an impact in AI, this position offers a unique opportunity, but be prepared for a technical challenge.
About this role
Join Innodata Inc. as a Language Data Scientist to work on improving generative AI systems through dataset design and evaluation.
About the Company
Innodata Inc. specializes in data analytics and AI solutions, catering to global technology companies.
Key Highlights
- ✓ Contribute to the development of generative AI systems.
- ✓ Design and evaluate training datasets for LLMs.
- ✓ Enhance model accuracy, fluency, and coherence.
- ✓ Develop robust evaluation frameworks.
💡 Honest Take: This role is ideal for those passionate about AI and language processing, though it may require a strong technical background.
Pros
- ✓ Opportunity to work with cutting-edge AI technology.
- ✓ Impactful role in shaping future AI systems.
- ✓ Collaboration with leading tech companies.
Cons
- ✗ Technical expertise required.
- ✗ May involve high-pressure deadlines.
- ✗ Limited salary information available.
Best For: This position suits individuals eager to contribute to AI advancements, especially in language modeling.
Watch Out: Candidates should be ready for a competitive and demanding work environment.
You'll be redirected to ph.talent.com
Expert Review
This role with Innodata Inc. offers a chance to engage deeply with AI and large language models (LLMs). As a Language Data Scientist, you'll play a pivotal role in shaping generative AI systems used by major tech firms. The position emphasizes dataset design and evaluation, key to improving model performance.
that a strong technical foundation is crucial, as you'll be tasked with developing evaluation frameworks and enhancing model fluency and coherence. This position is not for the faint-hearted; expect to navigate complex datasets and rigorous evaluation processes.
In terms of collaboration, you'll be working alongside industry leaders, providing influence the future of AI technology. However, the specifics regarding salary remain undisclosed, which could be a consideration for potential applicants. Interested candidates can find more details and apply through the official job posting on Talent.com.
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