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Flexible Medical Data Annotation Jobs (NOW HIRING)

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

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Flexible Medical Data Annotation information

What is the difference between Flexible Medical Data Annotation vs Medical Data Labeler?

AspectFlexible Medical Data AnnotationMedical Data Labeler
CredentialsBasic understanding of medical terminology, training in annotation toolsSimilar, often requires familiarity with medical terminology
Work EnvironmentRemote or on-site, healthcare or tech companiesPrimarily remote, healthcare tech companies
Industry UsageUsed in AI training for medical imaging, EHR systemsUsed for training AI models in healthcare
Search & ComparisonFocuses on flexible annotation tasks, broader scopeMore specific, labeling data for medical AI

Flexible Medical Data Annotation involves a broader range of annotation tasks, often requiring adaptability and understanding of various medical data types. Medical Data Labeler typically focuses on labeling specific datasets for AI training. Both roles require medical terminology knowledge but differ in scope and flexibility.

More about Flexible Medical Data Annotation jobs
What cities are hiring for Flexible Medical Data Annotation jobs? Cities with the most Flexible Medical Data Annotation job openings:
What are the most commonly searched types of Medical Data Annotation jobs? The most popular types of Medical Data Annotation jobs are:
What states have the most Flexible Medical Data Annotation jobs? States with the most job openings for Flexible Medical Data Annotation jobs include:
Infographic showing various Flexible Medical Data Annotation job openings in the United States as of June 2026, with employment types broken down into 19% As Needed, 75% Part Time, and 6% Temporary. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Seattle, WA • Remote

Other

Posted 10 days ago


Job description

Senior Python Full-Stack Engineer - AI Data & Infrastructure
About the Role
What if your Python expertise could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.
This is a fully remote, flexible contract role working on real production systems - not toy projects. If you're a seasoned Python engineer who thrives on high-impact, technically challenging work, this is where your skills belong.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
  • Identify and eliminate bottlenecks, edge cases, and reliability issues across production codebases
  • Collaborate closely with data, research, and engineering teams to support model training and evaluation infrastructure
  • Improve safety, performance, and maintainability of existing systems
  • Participate in synchronous design reviews and iterate on system architecture with expert colleagues
Who You Are
  • Native or fluent English speaker with strong written and verbal communication skills
  • Full-stack developer with a solid systems programming background
  • 5+ years of professional experience writing production-grade Python
  • Deep understanding of performance optimization and concurrency - asyncio, multiprocessing, threading - and type safety tools like Pydantic and mypy
  • Proven experience building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
  • Able to commit 20-40 hours per week with reliability and professionalism
Nice to Have
  • Prior experience with data annotation platforms, data quality workflows, or evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience with distributed systems, developer tooling, or MLOps
Why Join Us
  • Work directly with leading AI research labs on systems that matter
  • Fully remote and flexible - structure your hours around your life
  • Freelance autonomy with the depth and consistency of meaningful, long-term technical work
  • Collaborate with a sharp, technically rigorous team on genuinely hard engineering problems
  • Potential for ongoing work and contract extension as projects scale