WFH.teamOpen app$52k-$104k
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Decision details from the source listing
2+ years stated
Preferred: bachelor's, master's, or doctoral degree in Medicine, Epidemiology, Biostatistics, Public Health, or a closely related field
unspecified
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What this posting tells you
Remote contractor role using medical and biostatistical expertise to interpret clinical and epidemiological charts and create detailed reasoning tasks for AI training and evaluation. Two or more years of relevant experience and a related degree are preferred. No compensation details, eligible countries, time-zone requirements, or benefits are stated.
Data, Design and creative, Healthcare admin, Product, Customer support
Eligible countries are not stated.
Timezone overlap is not stated.
Subject matter expert; level not specified · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Data hiring on WFH.team
This role's listed pay is below the median among 161 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSubject Matter Expert – Medicine & Biostatistics Chart Analysis at micro1
Role Title: Subject Matter Expert – Medicine & Biostatistics Chart Analysis
Role Type: Contractor
Location: Remote
micro1 is selecting Subject Matter Expert – Medicine & Biostatistics Chart Analysis professionals to contribute advanced domain insights to a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
Interpret complex medical and biostatistical charts, including Kaplan-Meier curves, forest plots, ROC curves, hazard-ratio plots, and similar clinical or epidemiological visualizations, with professional accuracy.
Draft clear, objective, and multi-step analytical questions based on intricate visual data, requiring quantitative reasoning and detailed interpretation beyond basic data extraction.
Deliver precise, unambiguous answers accompanied by comprehensive, step-by-step explanations in expert-level written English, outlining calculations, statistical inferences, or clinical judgment.
Apply domain-specific medical and biostatistical terminology, ensuring accurate reference to units, scales, confidence intervals, p-values, and annotations across all deliverables.
Design reasoning tasks that emphasize graphical interpretation, comparisons, calculations, trend analysis, and data interpolation, while strictly avoiding subjective or ambiguous phrasing.
Collaborate remotely and reliably with project teams via written and verbal channels, actively incorporating feedback and upholding consistent, high-quality communication.
Produce verifiable reasoning assignments that directly support training and evaluation use cases for advanced AI models.
Preferred qualifications
Bachelor's, Master's, or Doctoral degree (MD, MPH, PhD, or equivalent) in Medicine, Epidemiology, Biostatistics, Public Health, or a closely related quantitative or clinical field.
Two or more years of professional, academic, or research experience interpreting clinical trial data, survival analyses, or epidemiological visualizations.
Demonstrated advanced skill with axes, legends, units, scales, confidence intervals, and statistical annotations in medical charts (e.g., Kaplan-Meier, forest, ROC curves).
Proven ability to clearly articulate analytical processes and provide clinical or biostatistical reasoning in high-quality written and spoken English.
Bilingual proficiency in English and, ideally, a second language relevant to medical or research practice.
Experience in technical documentation, scientific publishing, assessment or analytical task development, or structured data annotation for clinical, research, or AI-focused projects.
Background in producing benchmark questions, technical reports, or data annotation tasks for medical, clinical research, or AI model development engagements.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.