Subject Matter Expert

We are looking for experienced PhD-level Subject Matter Experts (SMEs) to support an AI research project focused on Large Language Model (LLM) development and evaluation.Selected SMEs will create high-quality “golden questions” to assess AI models on domain knowledge, reasoning, accuracy, and problem-solving.Work Mode: Remote | FreelanceEngagement: Task-BasedTask Duration: Up to 2.5 hours per taskDomains We Are Hiring ForEngineering & Technology: Civil Engineering, Information Technology, Computer Engineering, Materials & Manufacturing EngineeringPhysical Sciences: Chemistry, Physics, Materials ScienceArts, Humanities & Social Sciences: Sociology, Psychology, Human Ecology, Linguistics, Library & Information ScienceMedical Sciences: Medicine, Medical Technology, Radiology, Clinical Laboratory MedicineLife Sciences: Biology, Botany, Biochemistry, Plant BiotechnologyKey ResponsibilitiesCreate challenging, domain-specific questions for LLM evaluation.Test advanced knowledge, reasoning, analysis, and problem-solving.Ensure technical/scientific accuracy and relevance.Follow project guidelines and quality standards.Review and refine questions based on feedback.Complete assigned tasks within timelines.Eligibility & RequirementsPhD in a relevant or closely related field.Minimum 2 years of post-PhD experience.Current/recent experience as a researcher, professor, scientist, engineer, medical professional, or similar specialist.Strong domain expertise and analytical skills.Excellent written English.Ability to work independently in a remote environment.Payment & Task DetailsTask-based paymentUp to 2.5 hours per taskTask volume varies based on project requirements.No fixed number of tasks or hours guaranteed.Assessment & OnboardingShortlisted candidates will complete a project-specific assessment. Successful candidates will proceed to onboarding and task allocation.Interested?If you meet the requirements and are interested in contributing to an AI/LLM research project, please complete the application form below.