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Remote Amazon Data Annotation Jobs in Arizona (NOW HIRING)

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Support data science and model teams with platform needs, environment enablement, and deployment ...

TS/SCI/Sr Software Developer

Tucson, AZ · On-site +1

$51.50 - $68/hr

Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert ... Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React ...

TS/SCI/Sr Software Developer

Tucson, AZ · On-site +1

$51.50 - $68/hr

What required background will make you successful? • Expert knowledge of data structures ... Amazon Web Services (AWS) • Knowledge of Javascript and web technologies such as VueJS or React ...

Senior Software Engineer

Chandler, AZ · On-site +1

$125.10K - $164.90K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Update issue/feature data in Atlassian Project/Software tracking tools * Follow existing Iridium ...

Senior Software Engineer

Chandler, AZ · On-site +1

$118.20K - $155.80K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Update issue/feature data in Atlassian Project/Software tracking tools * Follow existing Iridium ...

Senior Software Engineer

Chandler, AZ · On-site +1

$118.20K - $155.80K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Update issue/feature data in Atlassian Project/Software tracking tools * Follow existing Iridium ...

Software Engineer III

Chandler, AZ · On-site +1

$55.50 - $74.50/hr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Software Engineer III

Chandler, AZ · On-site +1

$58.75 - $79/hr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Software Engineer III

Chandler, AZ · On-site +1

$55.50 - $74.50/hr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Remote Amazon Data Annotation information

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

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.

What are some common challenges faced by Remote Amazon Data Annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What are Remote Amazon Data Annotation jobs?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are the most commonly searched types of Amazon Data Annotation jobs in Arizona? The most popular types of Amazon Data Annotation jobs in Arizona are:
What job categories do people searching Remote Amazon Data Annotation jobs in Arizona look for? The top searched job categories for Remote Amazon Data Annotation jobs in Arizona are:
What cities in Arizona are hiring for Remote Amazon Data Annotation jobs? Cities in Arizona with the most Remote Amazon Data Annotation job openings:
Infographic showing various Remote Amazon Data Annotation job openings in Arizona as of May 2026, with employment types broken down into 4% Internship, 57% Full Time, 35% Part Time, and 4% Temporary. Highlights an 38% Physical, 29% Hybrid, and 33% Remote job distribution.

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

FIND HealthCareers

Phoenix, AZ • Remote

Full-time

Posted 8 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.