Internist

DataAnnotation; United States; Remoto; USD 142.000 - 202.000; Tempo pieno

Vantaggi offerti da questo lavoro

Weekly payouts

Remote work

Flexible hours

Descrizione del lavoro

DataAnnotation is seeking an experienced Internist to help train AI models by evaluating how AI-generated clinical answers perform in internal medicine. You will assess reasoning, accuracy, and safety of responses in real-world cases.

This is a remote independent-contractor role with flexible hours. The position welcomes internists from subspecialties and offers weekly payouts and competitive hourly pay based on task difficulty.

Competenze

• Board certification in internal medicine with ≥3 years post-residency experience or active clinical license.
• Hands-on clinical experience managing complex adult disease.
• Fluency in English and precise written communication.
• Based in one of the allowed regions (US, UK, Canada, Ireland, NZ, AU).

Mansioni

• Review AI responses to clinical questions with clinician context.
• Rate responses on accuracy, completeness, safety, and usefulness.
• Compare two independent responses and log discrepancies.
• Provide a detailed rationale for your decision and note what the other response got right.
• Identify model gaps, misstatements, or missing red flags.

Conoscenze

English fluency

Attention to detail

Clear writing

Formazione

Board certification in internal medicine

Current clinical license (US/US-friendly)

Descrizione del lavoro

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 Internist 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: Internist, General Internist, Primary Care Physician.

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.