Remote contract work for experienced dentists on a customer AI project: analyse, annotate and label clinical dental data, evaluate dental AI model outputs for accuracy and clinical relevance, and give expert input on digital dentistry such as CAD/CAM workflows, imaging and treatment planning software. No prior AI experience is required.
We are seeking experienced in Medical Expert – Dermatology help evaluate and enhance large language model (LLM) outputs related to nutrition, dietary habits, and healthy eating. You’ll assess AI-generated content for scientific accuracy, safety, and relevance — contributing to the development of responsible AI in nutrition and wellness. Main tasks listed: Annotate food items, portion sizes, meal composition, and nutrient content from text, images, or logs; Classify dietary patterns (e.g., macronutrient balance, meal timing, dietary restrictions/preferences); Verify accuracy of nutritional data against trusted references (e.g., food composition databases); Identify and flag mislabeled, inconsistent, or culturally ambiguous food entries.
Turing invites Healthcare Experts to join projects that fine-tune AI models. If you enjoy applying clinical knowledge, analyzing complex medical scenarios, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your healthcare experience will help shape how the next generation of AI understands and reasons about medical topics and patient care. Main tasks listed: Review and evaluate AI-generated responses to medical and healthcare scenarios; Apply a structured rubric to assess clinical accuracy, reasoning, completeness, and patient-safety considerations; Identify gaps, edge cases, unsafe recommendations, and blind spots in medical reasoning; Provide detailed annotations and written feedback to refine AI models.
We are seeking experienced US-based Medical Doctors (MD) or international equivalent (MBBS, MBChB, Medical Diploma, etc.) to help evaluate and enhance large language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical content for medical accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare. Main tasks listed: Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on medical field; Evaluate diagnoses, treatment plans, and summaries for medical cases; Provide expert feedback to improve medical integrity and safety of LLM outputs; Collaborate with AI researchers and clinicians to align model performance with evidence-based medical standards.
We are seeking experienced Certified Health & Wellness Coach Professionals to help evaluate and enhance large language model (LLM) outputs related to health coaching, behavior change, and wellness. You’ll assess AI-generated coaching conversations for accuracy, safety, empathy, and effectiveness — contributing to the development of responsible AI that supports evidence-based health coaching. Main tasks listed: Review AI-generated or human coaching dialogue for accuracy, tone, empathy, and actionability; Annotate quality dimensions such as goal-setting effectiveness, motivational technique, and personalization; Identify unsafe, misleading, or non-evidence-based advice and flag for correction; Compare responses against best-practice coaching frameworks (e.g., motivational interviewing, behavior change models).
We are seeking an experienced Dermatologist to help evaluate and enhance large language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical content for dermatological accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare. We are seeking India-based dermatologists to review dermatology images using a structured online evaluation tool. Main tasks listed: Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on dermatology; Evaluate diagnoses, treatment plans, and summaries for dermatologic cases; Provide expert feedback to improve medical integrity and safety of LLM outputs; Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards. The listing says the work can involve sensitive or graphic content.
We are seeking an experienced Dermatologist to help evaluate and enhance large language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical content for dermatological accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare. We are seeking US-based dermatologists to review dermatology images using a structured online evaluation tool. Main tasks listed: Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on dermatology; Evaluate diagnoses, treatment plans, and summaries for dermatologic cases; Provide expert feedback to improve medical integrity and safety of LLM outputs; Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards. The listing says the work can involve sensitive or graphic content.
Work with research teams to evaluate and improve how AI systems handle clinical reasoning. You’ll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference. Design systematic evaluation frameworks for medical AI systems Main tasks listed: Work with research teams to evaluate and improve how AI systems handle clinical reasoning. You’ll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference; Design systematic evaluation frameworks for medical AI systems; Create clinical scenarios that test AI reasoning and decision-making capabilities; Build assessment methods that capture the nuance of clinical practice.
Work with research teams to evaluate and improve how AI systems handle clinical reasoning. You’ll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference. Design systematic evaluation frameworks for medical AI systems Main tasks listed: Work with research teams to evaluate and improve how AI systems handle clinical reasoning. You’ll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference; Design systematic evaluation frameworks for medical AI systems; Create clinical scenarios that test AI reasoning and decision-making capabilities; Build assessment methods that capture the nuance of clinical practice.
Remote contract work for US internal medicine physicians on a customer AI project about inpatient care and documentation: review medical records (including FHIR data and clinical notes), check whether clinical claims are supported by the record, and flag missing, incorrect or inconsistent information such as dose adjustments and medication interactions. This work involves reviewing medical records: read the confidentiality and data-handling terms on the official page before applying.