Innodata Inc.
Astronomy Expert – Top-Tier Institutions
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Innodata (NASDAQ: INOD)
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany.
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Remote | Pilot: 3–4 weeks | Top-tier university background strongly preferred
We are seeking highly qualified Astronomy and Astrophysics domain experts for a freelance engagement supporting the training and evaluation of advanced AI models.
Role Overview
You will apply deep subject-matter expertise to improve the scientific accuracy and reliability of AI systems. This is a project-based, remote role focused on high-quality expert judgment rather than full-time employment.
Key Responsibilities
- Create and review domain-specific datasets in Astronomy and Astrophysics
- Evaluate AI-generated responses from a rigorous scientific perspective
- Identify subtle scientific errors, hallucinations, inaccuracies, and ambiguities
- Assess the quality, relevance, and scientific validity of model outputs
- Provide clear, expert-level feedback to guide model improvement
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Engagement Details
- Type: Freelance / Project-based
- Duration: Pilot project of approximately 3–4 weeks
- Domain: Astronomy / Astrophysics
- Work Arrangement: Fully remote
- Schedule: Flexible within the project timeline; availability during US and Israel time zones is preferred for coordination
We look forward to working with experts who can help raise the scientific standard of AI systems in this domain.
“Please note that the organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.”
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