AI data lab micro1 is hiring Medical Evaluation Specialists under Job Listing ID 97da7176-3c19-4443-bde5-3dceb56929e9.
In this role, medical students, residents, and licensed physicians write high-difficulty clinical vignettes, verify literature citations, and evaluate how frontier AI models perform on complex medical reasoning tasks.
Job Details
| Attribute | Information |
| Role | Medical Evaluation Specialist (students, residents, physicians) |
| Listing ID | 97da7176-3c19-4443-bde5-3dceb56929e9 |
| Hiring Platform | micro1 (AI Data Lab) |
| Location | 100% Remote (Global) |
| Compensation | $40 – $90 / hour (Task-based structure) |
| Job Type | Flexible Independent Contractor |
| Openings | 5 Openings |
| Posted Date | september 2026 |
| Application Deadline | Immediate (Roles fill within 24–48 hours) |
About Company
micro1 is an AI data infrastructure company that builds evaluation benchmarks, RLHF datasets, and agentic testing environments for frontier AI labs.The platform sources verified subject matter experts across STEM, legal, medical, and design domains to evaluate model outputs and eliminate AI hallucinations.
Job Description
As a Medical Evaluation Specialist, you will create challenging, multi-step medical questions and verified answers that probe the limits of AI diagnostic reasoning.
Instead of simple fact recall, you will design complex scenarios covering pathophysiology, pharmacology, differential diagnosis, and clinical treatment guidelines. You will also audit AI-generated clinical responses, identify flawed logic, and document primary literature citations.
Requirements & Qualifications
1. Medical Training & Clinical Expertise
- Active enrolment or completion in medical training as a Medical Student (MS1–MS4), Resident Physician, Fellow, or Practicing Physician (MD/DO/MBBS equivalent).
- Deep familiarity with clinical diagnostic workflows, pharmacology mechanisms, and treatment guidelines.
2. Technical & Research Competencies
- Literature Triangulation: Ability to source and verify clinical answers using primary peer-reviewed literature, UpToDate, PubMed, and authoritative guidelines.
- Written Precision: Strong English written communication skills to write unambiguous, highly defensible medical rationale.
- No AI Experience Required: Prior background in machine learning is not needed; domain expertise and clinical judgment are the primary requirements.
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Key Roles and Responsibilities
- Craft High-Difficulty Q&As:Write original, clinically complex medical scenarios that test model reasoning rather than memory recall.
- Audit AI Responses:Review AI model outputs, identify clinical errors or unsupported escalation, and refine questions that are too straightforward.
- Document Citations & Rationale: Provide thorough citations and evidence-backed explanations for every correct and incorrect distractor option.
- Iterate on Reviewer Feedback: Refine submitted tasks to align with evolving project rubrics and accuracy standards.
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Why We Recommend This Job
- High Pay with Complete Flexibility: Earn $40–$90/hr working remotely on your own schedule alongside clinical or academic commitments.
- Direct Impact on Medical AI: Help establish safety benchmarks and clinical accuracy standards for next-generation medical AI models.
- No Prior AI Experience Required: Ideal entry point for medical students and physicians to gain exposure to the AI data training industry.
Skills You’ll Gain
| Category | Tools & Competencies Mastered |
| AI Evaluation | Clinical LLM Benchmarking, RLHF Workflows, Hallucination Auditing, Prompt Red-Teaming. |
| Medical Research | Literature Triangulation, Guideline Synthesis, Clinical Rationale Writing. |
How to Apply?
- Click on the official micro1 job portal link below.
- Review the job details and verify the referral tracking parameter.
- Click Apply and upload your CV/Resume highlighting your medical education level and research background.
- Complete the automated Zara AI Recruiter Interview (voice/video assessment assessing your clinical reasoning and communication).
- Upon approval, complete onboarding and start receiving task assignments within 24–48 hours.
Official Application Link:Apply Now