[Hiring] AI Medical Consultant @Intelehealth

This is a remote position.

• Review and annotate clinical cases, histories, and scenarios used to train and test AI models.
  

• Label symptoms, danger signs, diagnoses, and management steps in structured formats.
  

• Create high-quality reference answers and gold standards for model evaluation.
  

• Develop and refine clinical protocols, triage pathways, and decision logic for AI use.
  

• Curate national and international guidelines for conversion into machine-readable formats.
  

• Maintain clinical content libraries with version control and audit trails.
  

• Review AI-generated differentials, treatment suggestions, and referral advice.
  

• Identify unsafe, biased, or clinically inappropriate recommendations.
  

• Participate in benchmark, stress testing, and safety reviews before release.
  

• Participate in regulatory approval processes and research studies to validate the safety and efficacy of AI tools.
  

• Act as a thought partner to engineers and product managers on clinical workflows.
  

• Provide domain expertise to shape product features that align with real-world clinical workflows and patient care.
  

• Design clinically relevant prompts, dialogue flows, and structured pathways (protocols, clinical workflows, and SOPs) for adaptive history taking, examination, and treatment plans.
  

• Advise on user interfaces for nurses, CHWs, and doctors using the system.
  

• Help design guardrails, escalation pathways, and human-in-the-loop oversight.
  

• Ensure clinical quality assurance while providing the insights and during the entire cycle of AI products development.
  

• Embed principles of safety, fairness, transparency, and accountability into model design.
  

• Define clinical risk categories and appropriate levels of automation.
  

• Identify risks, edge cases, and limitations of AI-based clinical tools.
  

• Contribute to bias assessments across gender, age, language, and socioeconomic groups.
  

• Support creation of explainable standards so users understand why the AI suggests an action.
  

• Participate in incident reviews and post-deployment monitoring for harm prevention.
  

• Ensure that AI-driven clinical tools adhere to medical guidelines, regulatory standards, and ethical frameworks.
  

6. Field Learning & Improvement

• Analyze real-world usage data and error patterns.
  

• Support pilot deployments and gather feedback from clinicians.
  

• Update guidelines and training data based on observed gaps.
  

Requirements

• 5+ years of clinical experience after MBBS or 3+ years of clinical experience after MD/DNB across primary, secondary, or tertiary care.
  

• Minimum 1 year experience in working with AI, LLMs, and emerging healthcare technologies.
  

• Deep understanding of clinical workflows, diagnostics, and treatment planning.
  

• Familiarity with digital health tools, EMR systems, or clinical decision support systems.
  

• Working in multidisciplinary R&D teams.
  

• Exposure to prompt engineering, health informatics frameworks is a plus.
  

• Strong understanding of SNOMED CT and ICD-10/11 medical terminologies.
  

• Ability to communicate medical reasoning to technical teams.
  

• Comfort with digital tools and interest in AI-driven healthcare
  

• Cultural sensitivity and adaptability
  

• Critical thinking and problem-solving
  

• Mission-driven and service-oriented
  

• Flexible and solutions-focused
  

• Excellent interpersonal and communication skills
  

• Collaborative and respectful of cultural contexts
  

Benefits

Remote working.