About the Role
The role involves using deep chemistry knowledge to guide the training of AI systems, ensuring accurate representation of chemical concepts, reactions, and data structures within machine learning models.
Responsibilities
- Evaluate and correct AI-generated chemistry-related outputs
- Provide accurate chemical data for model training and validation
- Identify errors in chemical reasoning produced by AI systems
- Translate complex chemical concepts into structured training examples
- Assist in refining AI responses related to organic and inorganic chemistry
- Ensure consistency with established chemical principles in AI behavior
- Collaborate with technical teams to improve model accuracy
- Review proposed chemical reactions for feasibility and correctness
- Help develop training datasets grounded in real-world chemistry
- Support quality assurance for AI predictions in molecular science
- Clarify ambiguities in chemical nomenclature and representation
- Validate AI interpretations of spectroscopic or analytical data
- Contribute to the design of chemistry-focused evaluation metrics
- Flag inaccuracies in predicted reaction mechanisms
- Assist in benchmarking AI performance on chemistry tasks
- Maintain up-to-date knowledge of relevant subfields in chemistry
- Ensure training content aligns with academic and industrial standards
- Provide feedback on user-facing chemistry explanations
- Support the creation of realistic chemical scenarios for testing
- Work with cross-functional teams to define learning objectives
- Improve AI understanding of stereochemistry and molecular geometry
- Review safety-related chemical information for correctness
- Contribute to documentation for chemistry training protocols
- Help prioritize areas for model improvement in chemical reasoning
- Ensure ethical and responsible handling of chemical data
Nice to Have
- PhD in chemistry or related discipline
- Postdoctoral or advanced research experience
- Teaching experience in university-level chemistry
- Experience with AI or natural language processing
- Background in cheminformatics or data curation
- Prior work in scientific model validation
Compensation
Competitive salary based on experience
Work Arrangement
Remote
Team
Collaborative team focused on AI development for scientific applications
Location Requirements
Applicants must be based in Argentina and authorized to work there. This position does not offer relocation or visa sponsorship.
Project Duration
Initial engagement is project-based with potential for extension based on performance and business needs.
Not applicable
