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Remote Medical Annotation Jobs in Phoenix, AZ (NOW HIRING)

Inizio Evoke

Senior Project Manager-Digital

Tempe, AZ · On-site +1

Senior Project Manager Remote, West Coast Hours About Inizio Evoke In the journey of life, your ... med/legal submission prep and submission, including digital assets requiring functional annotation

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All JobsRemote Medical Annotation JobsRemote Medical Annotation Jobs in Phoenix, AZ

Remote Medical Annotation information

See Phoenix, AZ salary details

$47.2K

$76.9K

$103.8K

How much do remote medical annotation jobs pay per year?

As of May 28, 2026, the average yearly pay for remote medical annotation in Phoenix, AZ is $76,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $89,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Medical Annotation Specialist, and why are they important?

To excel as a Remote Medical Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and the ability to interpret clinical data, often supported by a background in healthcare or life sciences. Familiarity with medical annotation platforms, data labeling tools, and sometimes HIPAA certification is typically required. Strong communication, time management, and self-motivation are important soft skills for remote collaboration and meeting project deadlines. These skills ensure the accuracy and reliability of annotated medical data, which is critical for training effective healthcare AI systems.

What are some common challenges faced by professionals working in remote medical annotation roles, and how can they be addressed?

Remote medical annotation professionals often encounter challenges such as interpreting complex medical images or records without immediate access to colleagues for clarification, maintaining focus during repetitive tasks, and ensuring high accuracy under tight deadlines. To address these, it's helpful to establish clear communication channels with team leads, participate in regular quality assurance checks, and make use of detailed annotation guidelines. Additionally, scheduling breaks and staying updated on medical terminology can help maintain both accuracy and job satisfaction.

What is remote medical annotation?

Remote medical annotation is the process of labeling and categorizing medical images, data, or documents from a distance, often using specialized software. Professionals in this role help train and validate artificial intelligence (AI) models for healthcare applications by accurately identifying features in medical data such as X-rays, MRIs, or clinical notes. The work is typically performed online and requires a strong understanding of medical terminology and practices to ensure precise annotations. Accurate remote medical annotation is essential for improving the reliability and performance of AI-driven medical tools.

What is the difference between Remote Medical Annotation vs Remote Medical Transcription?

AspectRemote Medical AnnotationRemote Medical Transcription
Required CredentialsBasic medical knowledge, training in annotation toolsMedical transcription certification, typing skills
Work EnvironmentOnline, flexible, annotation platformsHome-based, transcription software
Industry UsageHealthcare, AI training, data labelingMedical record documentation
Common Search IntentData annotation, AI training jobsMedical transcription jobs, remote transcription

Remote Medical Annotation involves labeling medical data for AI models, requiring medical knowledge and annotation skills. Remote Medical Transcription focuses on converting audio recordings into written reports, needing transcription certifications and typing proficiency. Both roles are remote, but they serve different purposes within the healthcare industry.

What are popular job titles related to Remote Medical Annotation jobs in Phoenix, AZ? For Remote Medical Annotation jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Medical Annotation jobs in Phoenix, AZ look for? The top searched job categories for Remote Medical Annotation jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Medical Annotation jobs? Cities near Phoenix, AZ with the most Remote Medical Annotation job openings:
Remote Medical Annotation jobs near you
Infographic showing various Remote Medical Annotation job openings in Phoenix, AZ as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $76,859 per year, or $37 per hour.

Physician (MD/DO) - Clinical Review & AI Care Plan Evaluation Project (remote)

FIND HealthCareers

Phoenix, AZ • Remote

Full-time

Posted 5 days ago

Job description

FIND Healthcareers is a healthcare recruitment firm led by professionals who operate within the system — not outside of it. We partner with growing healthcare organizations across the U.S. to build clinical, operational, and leadership teams that improve how care is delivered.

We recruit across the full spectrum of healthcare talent — from Licensed Practical Nurses and Physicians to practice managers and operational leaders. Whether through direct hire, contract, or temp-to-hire placements, we connect candidates with environments where they can perform and organizations with people who actually move the needle.

Backed by strong relationships across healthcare networks and training programs, we don't just fill roles — we align talent with real-world operational needs.

Physician / NP / PA – Clinical Review & AI Care Plan Evaluation (Remote)

Overview

We are excited to invite experienced clinicians to join us in shaping the future of healthcare through next-generation AI systems! In this unique project role, you'll have the opportunity to review structured clinical data, create care plans from the ground up, and evaluate AI-generated outputs for their accuracy, safety, and clinical reasoning.

This isn't your typical clinical position. There is no direct patient care, no EMR documentation, and you won't be liable for patient outcomes. Instead, you will leverage your clinical expertise to train and evaluate AI systems used in healthcare settings.

Specialties Required (Applicants outside these will not be considered)
  • Primary Care (Internal Medicine / Family Medicine)
  • Cardiology
  • Endocrinology
What You'll Do1. Clinical Data Review
  • Review structured and unstructured EHR-style data (de-identified or synthetic)
  • Identify key clinical signals, comorbidities, and risk factors
  • Interpret data in a way that informs clinical decision-making
2. Care Plan Development
  • Create comprehensive care plans from scratch based on provided scenarios
  • Include appropriate diagnostics, treatment pathways, monitoring, and follow-up
  • Apply specialty-specific best practices and clinical guidelines
3. AI Output Evaluation
  • Review AI-generated care plans, summaries, or recommendations
  • Assess for:
    • Clinical accuracy
    • Completeness
    • Safety risks
    • Logical consistency
  • Provide clear, structured feedback and corrections
4. Annotation & Clinical Reasoning
  • Document step-by-step clinical reasoning behind decisions
  • Explain why a care plan is correct, incomplete, or unsafe
  • Identify gaps, omissions, and flawed assumptions in AI outputs
5. Rubric & Framework Development
  • Contribute to the creation of evaluation rubrics and scoring frameworks
  • Help define what "good" clinical reasoning and care planning looks like
  • Collaborate on standardizing quality benchmarks for AI evaluation
What This Role Is NOT
  • ❌ No patient interaction
  • ❌ No prescribing or treatment decisions for real individuals
  • ❌ No billing or charting
  • ❌ No malpractice exposure tied to patient care
Requirements
  • Active clinical license (MD, or equivalent)
  • Minimum 3–5 years of clinical experience (post-training preferred)
  • Strong clinical reasoning and documentation skills
  • Ability to clearly articulate decision-making processes
  • Comfortable working with structured frameworks and written analysis
  • Experience in one of the following:
    • Primary Care
    • Cardiology
    • Endocrinology
Nice to Have
  • Experience with utilization review, chart audits, or clinical QA
  • Familiarity with clinical guidelines (e.g., ADA, ACC/AHA, USPSTF)
  • Prior exposure to AI, data annotation, or digital health tools
Compensation
  • Competitive hourly rate based on specialty and scope
  • Higher rates for advanced tasks such as care plan creation and rubric development
  • Flexible, project-based hours
Why This Role Matters

You will play a vital role in training and enhancing AI systems that will be utilized across the healthcare landscape. Your clinical judgment will help ensure these systems are safe, accurate, and aligned with real-world medical practice.

We don't just place candidates — we work inside healthcare operations every day. That means we understand what actually works on the ground. If you're looking for a role where that matters, we encourage you to apply.