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Alignerr

Health Policy & Management - AI Data Trainer

Alignerr

Remote · Contracter

Soyez le premier à postuler

Expérience
N'importe lequel
Salaire
USD 35 – USD 55 / hour
Ouvertures
1
Publié
il y a 2 jours
Mode de travail
Travaillez à domicile
Éducation
Masters in Public Health or related field
CV
Candidature requise

Description de l'emploi

About the Role

Alignerr collaborates with top-tier AI research teams to develop and refine advanced AI models. We are looking for individuals with a Master's in Public Health (MPH) or related fields to support our efforts in training AI systems to deliver precise, evidence-based health information and policy guidance.

Key Responsibilities

  • Construct intricate public health scenarios such as disease outbreak simulations, health equity evaluations, and statistical analyses of clinical trials.
  • Develop comprehensive solutions that integrate peer-reviewed studies, epidemiological data, and authoritative public health guidelines like those from CDC and WHO.
  • Perform technical reviews of AI-generated health recommendations to assess accuracy, identify bias, and ensure ethical compliance, spotting misinformation or reasoning flaws.
  • Offer detailed feedback to enhance the AI's ability to differentiate correlation from causation and improve risk communication to diverse groups.

Required Qualifications

  • Possession of a Master's degree in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely aligned graduate degree.
  • Proficient knowledge in at least two of the following domains: Epidemiology, Biostatistics, Environmental Health, or Health Policy.
  • Ability to clearly and sensitively translate complex health data into concise, actionable text.
  • Meticulous attention to detail when validating statistical significance, sources, and health interventions.
  • No prior AI experience necessary.

Preferred Experience

  • Background in data annotation, data quality control, or evaluation methodologies.
  • Familiarity with data analysis tools such as R, SAS, or Stata.
  • Experience in health communication, clinical research coordination, or public health surveillance.

Benefits & Work Conditions

  • Competitive compensation ranging from $35 to $55 per hour.
  • Fully remote work with flexible scheduling, requiring 10 to 40 hours per week.
  • Opportunities for ongoing contract renewals and involvement with cutting-edge large language models.

Application Details

  • Submit a resume, complete a brief screening, and proceed to project matching and onboarding.
  • Application review occurs daily; completing all application steps is necessary for consideration.

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