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4 days ago
Innodata is a leading data engineering company serving over 2000 customers worldwide.
We combine advanced ML/AI technologies and subject matter expertise to unlock the full potential of artificial intelligence.
About the Role:This role is ideal for PhDs in Physics, Chemistry, Biology, or Computer Science who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications.
- Create high-quality scientific content and datasets to train or evaluate AI systems.
- Perform quality assurance on model-generated outputs for scientific accuracy and alignment with domain knowledge.
- Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns.
- Support the development of guidelines for scientific content generation and annotation.
- Collaborate with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects.
- Conduct domain-specific research and synthesize findings to guide model improvements.
- Identify and resolve issues related to ambiguity, bias, or misrepresentation in scientific content.
- PhD in Chemistry
- Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems.
- Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology.
- Attention to detail and ability to critically evaluate scientific content for accuracy and clarity.
- Excellent writing, editing, and communication skills.
- Experience working with large datasets or scientific databases.
- Knowledge of machine learning pipelines, NLP, or LLMs.
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