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Remote Data Modeler Jobs in Edmonds, WA (NOW HIRING)

Annotate large datasets with accurate labels that will be used to train and validate AI models ... remote position. Application Deadline This position is anticipated to close on Aug 13, 2026. About ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Showing results 21-40

Remote Data Modeler information

See Edmonds, WA salary details

$11

$64

$91

How much do remote data modeler jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote data modeler in Edmonds, WA is $64.47, according to ZipRecruiter salary data. Most workers in this role earn between $57.79 and $74.95 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote data modeler?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a remote data modeler do?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a remote data modeler?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

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Digital Chemistry Specialist - Remote

micro1 AI

Bellevue, WA • Remote

$90 - $120/hr

Part-time

Posted 14 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.