Role Responsibilities
- Review and analyze scientific figures, laboratory reports, and experimental results for accuracy and clarity.
- Assess dashboards and scientific visualizations, providing expert feedback on integrity and presentation.
- Create rubrics and evaluation stems for interpreting complex industry documents and visual data.
- Interpret and summarize complex scientific information to support AI training dataset development.
- Document observations, highlight inconsistencies, and recommend improvements for scientific accuracy.
- Collaborate with cross-functional teams to ensure high-quality project deliverables.
Requirements
- Have strong relevant experience in scientific, laboratory, research, manufacturing, or quality environments.
- Demonstrated ability to critically evaluate scientific figures, experiment results, and technical publications.
- Strong analytical reasoning and problem-solving skills applied to complex scientific content.
- Proficiency in reviewing dashboards, charts, and scientific visualizations for accuracy.
- Excellent verbal and written communication abilities, focusing on clear documentation and feedback.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage