Veterinary Expert - AI Model Evaluation

What you'll do: Depending on the project, you may: Analyze: Review veterinary cases, clinical scenarios, patient histories, diagnostic information, treatment plans, and animal health situations. Evaluate: Review AI-generated veterinary analysis, diagnoses, treatment recommendations, and clinical reasoning. Validate: Determine whether AI-generated veterinary outputs are accurate, logically sound, clinically appropriate, and consistent with accepted veterinary principles. Review: Assess diagnostic approaches, treatment plans, medication recommendations, preventive care strategies, and clinical decisions. Reason: Solve realistic veterinary problems and explain how an experienced veterinary professional would approach them. Compare solutions: Assess multiple AI-generated veterinary solutions and identify meaningful differences in accuracy, reasoning, clinical judgment, and safety. Create evaluations: Develop challenging veterinary tasks and criteria for measuring AI systems. Provide expert judgment: Identify errors, inconsistencies, unsupported assumptions, unsafe recommendations, and incorrect clinical conclusions in AI-generated work. Projects may involve companion animal medicine, large animal medicine, veterinary surgery, internal medicine, emergency and critical care, preventive medicine, animal nutrition, pathology, pharmacology, diagnostic medicine, animal health, livestock medicine, and other areas depending on your expertise. Who we're looking for We're looking for experienced veterinary professionals, not necessarily AI researchers. You should have:3+ years of professional experience in veterinary medicine, animal health, veterinary practice, veterinary research, or a related field Strong veterinary and clinical reasoning skills Experience working with real-world animal health cases and clinical information Ability to evaluate veterinary analysis, diagnoses, and treatment recommendations critically Strong attention to detail Ability to identify veterinary errors, inconsistencies, unsafe recommendations, and unsupported assumptions Strong professional judgment Ability to clearly explain why a veterinary diagnosis, treatment, or conclusion is correct or incorrect Experience with any of the following is valuable: Companion animal medicine Large animal or livestock medicine Veterinary surgery Internal medicine Emergency and critical care Preventive veterinary medicine Veterinary diagnostics Veterinary pathology Veterinary pharmacology Animal nutrition Animal health and disease management Veterinary research or clinical practiceDVM, BVSc, VMD, or equivalent veterinary qualification You do not need prior experience working in AI.What matters most is that you know how to do veterinary work well. You might be asked to: Review an AI-generated veterinary case analysis and identify the issues. Evaluate whether an AI-generated diagnosis is supported by the available clinical information. Assess whether a treatment recommendation is appropriate for a particular animal or clinical scenario. Review an AI-generated interpretation of laboratory results, imaging findings, or other diagnostic information. Compare two AI-generated veterinary solutions and determine which is stronger. Evaluate an AI-generated treatment or preventive care plan. Analyze a realistic veterinary case and explain your clinical reasoning. Identify veterinary errors, inconsistencies, unsafe recommendations, or unsupported conclusions. Assess whether an AI-generated recommendation appropriately considers species, breed, age, symptoms, medical history, and other relevant factors. Create challenging veterinary cases that can be used to evaluate AI systems. The goal is not simply to determine whether veterinary work looks reasonable. The goal is to capture the judgment an experienced veterinary professional uses to determine whether veterinary work actually makes clinical sense. Compensation Paid project-based work. Rates vary based on your experience, specialization, and project requirements. Your applicable rate and project scope will be shown before you commit to a project. Some projects are short assignments. Others may involve recurring work over a longer period. There is no fixed schedule and no minimum commitment. Work arrangement Remote Asynchronous Project-based Flexible hours Work around your existing job or commitments Paid for qualifying project work But producing a plausible-looking veterinary answer is not the same as demonstrating strong veterinary judgment. AI needs to learn how experienced veterinary professionals: Analyze clinical information Interpret patient histories and symptoms Evaluate diagnostic possibilities Assess laboratory and diagnostic findings Evaluate treatment options Consider species-specific factors Identify clinical errors and risks Evaluate assumptions and supporting evidence Recognize important edge cases Assess medication and treatment recommendations Consider animal welfare and patient safety Explain clinical conclusions clearly Determine when veterinary analysis is actually reliable That's where you come in. Your veterinary expertise helps shape how AI learns to reason about animal health and veterinary medicine. How it works Apply Tell us about your veterinary background, experience, qualifications, and areas of expertise. Get qualified Complete a short assessment designed around the type of veterinary work you'll perform. Get matched When your experience matches an active project, we'll share the scope, requirements, and compensation. Do the work Complete projects remotely and asynchronously. Get paid Receive the agreed rate for your completed work. Help teach AI how great veterinary professionals actually work. Apply directly through: alpheva Dot ai/experts/