Remote Public Health SME – AI Training & Quality Expert

SME Careers; Pakistan; Remote; PKR 9,540,000 - 22,896,000; Part time

Job summary

SME Careers is seeking a Public Health Subject Matter Expert for an hourly remote contractor role to review AI-generated public health content and provide precise feedback on reasoning quality and problem solving.

You will write high-quality explanations, model solutions, and explanations that demonstrate correct reasoning; rate and compare AI responses for accuracy and safety; and help ensure evidence-based guidance across population health contexts.

Qualifications

• Bachelor’s degree in Public Health or related field.
• 5+ years of public health experience (government/public sector, NGOs, academia, healthcare systems, global health, consulting, or similar).
• C1 English proficiency.
• Experience with AI data training/annotation, guideline work, systematic reviews, program evaluation, policy analysis, or editorial QA is strongly preferred.

Responsibilities

• Develop AI Training Content: Create prompts and gold-standard answers across epidemiology, public health practice, policy, prevention, and risk communication topics.
• Evaluate and rank AI responses to improve correctness, clarity, contextual relevance, and scientific rigor.
• Ensure Model Integrity: Test AI outputs for inaccuracies, biased interpretations, and unsafe recommendations across populations.

Skills

Public Health

Epidemiology

Biostatistics

Health Policy

Global Health

Evidence interpretation

English proficiency

Education

Bachelor’s degree in Public Health

MPH preferred

Job description

SME Careers is seeking a Public Health Subject Matter Expert for an hourly remote contractor role to review AI-generated public health content and provide precise feedback on reasoning quality and problem solving.

You will write high-quality explanations, model solutions, and explanations that demonstrate correct reasoning; rate and compare AI responses for accuracy and safety; and help ensure evidence-based guidance across population health contexts.