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Remote Medical Data Annotation Jobs in Edmonds, WA

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Medical Data Entry Clerk - Remote

Seattle, WA · Remote

$19 - $22.75/hr

Medical Data Entry Clerk - Remote Seattle, Washington, United States The qualified candidate will assist the Accounts Receivable Manager in billing, posting remittances, and tracking open balances ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

... remote environment Nice to Have * Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field * Prior experience with data annotation, data quality assurance, or AI ...

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Remote Medical Data Annotation information

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

To excel as a Remote Medical Data Annotation Specialist, you need a background in medical terminology, attention to detail, and familiarity with healthcare data formats, often supported by a degree or certification in a health-related field. Proficiency with annotation tools, electronic health record (EHR) systems, and data management platforms is typically required. Strong communication, time management, and analytical thinking are essential soft skills for accurate labeling and collaboration with remote teams. These competencies ensure that annotated data is reliable and precise, which is crucial for developing effective medical AI systems and supporting clinical research.

What are some common challenges faced by remote medical data annotation specialists, and how can they be overcome?

Remote medical data annotation specialists often encounter challenges such as maintaining data accuracy, understanding complex medical terminology, and managing communication with clinical teams. To overcome these, it's important to stay up-to-date with medical guidelines, participate in regular training sessions, and use collaboration tools to clarify medical ambiguities with colleagues or supervisors. Additionally, creating a structured daily workflow and setting up a distraction-free workspace can help maintain focus and accuracy when working with sensitive healthcare data.

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

AspectRemote Medical Data AnnotationRemote Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology knowledge, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, healthcare data labelingMedical record documentation
Common Search IntentData annotation, AI training jobsTranscription, medical record jobs

Both roles are remote and involve healthcare data, but Medical Data Annotation focuses on labeling data for AI models, while Medical Transcription involves converting audio recordings into written reports. Understanding these differences helps job seekers find the right fit in the healthcare data industry.

What is remote medical data annotation?

Remote medical data annotation involves labeling or tagging medical data—such as images, text, or audio—using specialized software, all while working from a location outside of a traditional office or lab. Annotators help create high-quality datasets that are essential for training machine learning models used in medical research and diagnostics. This work can include identifying areas of interest on medical scans, categorizing patient records, or transcribing audio notes. Remote annotation roles require attention to detail, a basic understanding of medical terminology, and adherence to privacy regulations like HIPAA. The position is vital for advancing artificial intelligence in healthcare.
What job categories do people searching Remote Medical Data Annotation jobs in Edmonds, WA look for? The top searched job categories for Remote Medical Data Annotation jobs in Edmonds, WA are:
What cities near Edmonds, WA are hiring for Remote Medical Data Annotation jobs? Cities near Edmonds, WA with the most Remote Medical Data Annotation job openings:
Remote Medical Data Annotation jobs near you

Senior C# Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Seattle, WA • Remote

Other

Posted 16 days ago

Job description

Senior C# Full-Stack Engineer - AI Data & Infrastructure
About the Role
What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior C# Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on every day.
This is a fully remote contract role with meaningful technical depth and real production impact. You'll work alongside data, research, and engineering teams at the frontier of AI development - solving hard problems at scale.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance C# systems supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing C# codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in data and system behavior - then implement scalable, production-ready fixes
  • Participate in synchronous design and code reviews to iterate on system architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication skills
  • Experienced full-stack developer with a strong systems programming background
  • 3-5+ years of professional experience writing production C# with a focus on modern standards
  • Deep understanding of performance optimization, concurrency (threading, atomics), and memory safety
  • Self-directed and reliable - able to commit 20-40 hours per week and deliver without hand-holding
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems or developer tooling
  • Background in C++17/C++20 or other systems-level languages
Why Join Us
  • Work on real production systems used by leading AI research labs
  • Fully remote - work from anywhere, on a schedule that suits you
  • Freelance autonomy with the structure of impactful, technically demanding work
  • Contribute to infrastructure that directly influences how next-generation AI models are built and evaluated
  • Potential for ongoing work and contract extension as new projects launch

Apply