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Intelehealth is an international non-profit committed to improving access to primary health care in underserved regions of the world through its innovative technology platform. Intelehealth can be used by health organizations to set up high quality primary health care programs connecting patients in remote and rural communities to doctors.
We believe work should be meaningful as well as enriching. At Intelehealth, we’re taking on one of the world’s biggest development’s challenge - solving the health access gap for last mile populations. We believe in creating and maintaining an organizational culture of innovation which is conducive for the incredible people who work with us.
This is a remote position.
Clinical Data & Annotation
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.
Guideline Development
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.
Validation of AI Outputs
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.
Product & System Design
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.
Responsible AI, Governance & Compliance
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.
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
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