Internal Medicine Clinician

DataAnnotation; United States; Remote; USD 142,000 - 202,000; Part time

Benefits offered by this job

Remote work

Independent contractor

Flexible hours

Weekly payouts

Job summary

DataAnnotation is seeking an experienced Internal Medicine Clinician to train AI models by evaluating and scoring clinical responses. You will assess accuracy, completeness, safety and usefulness, providing a detailed rationale for each call.

Open to internists across subspecialties with a focus on complex adult disease. This remote, independent contractor role offers flexible hours and weekly payouts, with compensation up to $125+ per hour depending on task difficulty.

Qualifications

• Board certification in internal medicine with at least 3 years post-residency
• Hands-on clinical experience managing complex adult disease
• Fluency in English (native or bilingual level)
• Clear, well-organized writing and close attention to detail

Responsibilities

• Review AI responses to clinical questions alongside the context a clinician would have when answering them.
• Rate each response on accuracy, completeness, safety, and usefulness to the person asking.
• Compare two independent responses to the same question, decide which one a clinician would rely on, and log each discrepancy.
• Write a clear, detailed rationale for your call, including what the weaker response still got right.
• Pinpoint what model responses miss, misstate, or leave incomplete, from an incomplete differential to a missed interaction, contraindication, or red flag.

Skills

Internal Medicine

Clinical writing

Attention to detail

English fluency

Education

Board-certified in Internal Medicine

Job description

Pay: up to $125+ /hour (depends on task difficulty and specialization)

Location: Remote | Type: Independent contractor | Hours: Flexible hours | Payouts: Weekly

Overview

We’re looking for an experienced Internal Medicine Clinician to help train AI models. You’ll measure how well the models answer clinical questions in internal medicine, check their reasoning, and help raise the quality of each new version.

This is a new area for our company: teaching AI to reason about the prevention, diagnosis, and non-surgical management of complex adult disease the way a skilled internist would, reading a presentation, weighing the workup, and knowing what actually changes management. Open to internists across subspecialties, from critical care and endocrinology to infectious disease, nephrology, oncology, primary care, and rheumatology, and to the clinicians who practice alongside them.

What you’ll actually do

• Review AI responses to clinical questions alongside the context a clinician would have when answering them.
• Rate each response on accuracy, completeness, safety, and usefulness to the person asking.
• Compare two independent responses to the same question, decide which one a clinician would rely on, and log each discrepancy.
• Write a clear, detailed rationale for your call, including what the weaker response still got right.
• Pinpoint what model responses miss, misstate, or leave incomplete, from an incomplete differential to a missed interaction, contraindication, or red flag.

Roles this fits

Common backgrounds: Internal Medicine Clinician, Internal Medicine Nurse Practitioner, Hospitalist.

What we look for

• Board certification in internal medicine with at least 3 years of post-residency experience, or a current license that lets you practice clinically in internal medicine (for example RN, NP, or PA).
• Hands-on clinical experience managing complex adult disease.
• Fluency in English (native or bilingual level).
• Clear, well-organized writing and close attention to detail.
• Only applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States will be considered for this role.

Compensation

Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k-200k a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.