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Entry Level Remote Data Modeler Jobs in Renton, WA

YO AI Labs

Chemistry Expert - Remote

Seattle, WA · Remote

$75 - $100/hr

Remote Scope of Work: * Produce authoritative, accurate, and well-explained responses to advanced ... model outputs, ensuring consistency and reliability in training data. * Document context and ...

New

YO AI Labs

Chemistry Expert - Remote

Seattle, WA · Remote

$75 - $100/hr

Remote Scope of Work: * Produce authoritative, accurate, and well-explained responses to advanced ... model outputs, ensuring consistency and reliability in training data. * Document context and ...

New

Truveta

Senior Enablement Analyst

Seattle, WA · On-site +1

$100K - $132K/yr

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... Help customers understand the data model, including clinical, administrative, notes, and imaging ...

YO AI Labs

English Language Expert - Remote

Seattle, WA · Remote

$30 - $50/hr

You will help improve AI models by assessing responses for accuracy, clarity, linguistic quality ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

YO AI Labs

English Language Expert - Remote

Seattle, WA · Remote

$30 - $50/hr

You will help improve AI models by assessing responses for accuracy, clarity, linguistic quality ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

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Entry Level Remote Data Modeler information

See Renton, WA salary details

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$66

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How much do entry level remote data modeler jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for entry level remote data modeler in Renton, WA is $66.04, according to ZipRecruiter salary data. Most workers in this role earn between $59.23 and $76.78 per hour, depending on experience, location, and employer.

What does an entry level remote data modeler do?

An Entry Level Remote Data Modeler assists in designing, creating, and maintaining data models that organize and structure information for companies, typically while working from home. They work closely with data architects and analysts to translate business requirements into technical data structures, such as databases or data warehouses. Their tasks may include creating diagrams, documenting data flows, and ensuring data integrity. This role often requires proficiency in data modeling tools and a basic understanding of databases and data management concepts.

What are the key skills and qualifications needed to thrive as an entry level remote data modeler, and why are they important?

To thrive as an Entry Level Remote Data Modeler, you need foundational knowledge in database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with tools like ER/Studio, Microsoft Visio, and SQL-based database systems is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are important because they ensure accurate data structure design, collaboration with remote teams, and successful implementation of data solutions.

What are the typical challenges faced by entry level remote data modelers, and how can they overcome them?

Entry-level remote data modelers often face challenges such as limited access to immediate mentorship, difficulty understanding complex data structures, and ensuring clear communication with distributed teams. To overcome these obstacles, it’s important to proactively seek feedback through regular virtual meetings, utilize collaboration platforms for documentation and model sharing, and participate in online forums or communities for peer support. Building a habit of clear, detailed documentation and asking clarifying questions early can also help navigate the learning curve and contribute effectively to team projects.

What is the difference between Entry Level Remote Data Modeler vs Entry Level Remote Data Analyst?

AspectEntry Level Remote Data ModelerEntry Level Remote Data Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Required SkillsData modeling, SQL, database design, understanding of data architectureData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, often collaborating with data engineers and developersRemote, working with business teams and stakeholders
Common CertificationsNone required but beneficial: Microsoft Certified Data Analyst, IBM Data ScienceNone required but beneficial: Microsoft Certified Data Analyst, Google Data Analytics

While both roles are entry-level and often remote, data modelers focus on structuring and designing data systems, whereas data analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

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For Entry Level Remote Data Modeler jobs in Renton, WA, the most frequently searched job titles are:

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The top searched job categories for Entry Level Remote Data Modeler jobs in Renton, WA are:

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Cities near Renton, WA with the most Entry Level Remote Data Modeler job openings:

Entry Level Remote Data Modeler jobs near you
Infographic showing various Entry Level Remote Data Modeler job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $137,367 per year, or $66 per hour.

Chemistry Expert - Remote

Seattle, WA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$75 - $100/hr

Full-time

Posted 2 days ago

New

Job description

Job Description

Role Title: Chemistry Expert

Role Type: Contract

Location: Remote


Scope of Work:

  • Produce authoritative, accurate, and well-explained responses to advanced chemistry queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
  • Review and evaluate chemistry data, questions, and solutions to guarantee scientific accuracy, completeness, and current best-practice alignment.
  • Develop comprehensive explanations and justifications across a wide array of chemical concepts, spanning foundational and specialized areas of chemistry.
  • Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
  • Create exemplary golden responses that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
  • Document context and rationale behind answers to assist model interpretability and future annotation efforts.
  • Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.

Preferred Qualifications:

  • PhD in Chemistry or a closely related scientific field with robust expertise in both foundational and advanced topics.
  • Proven ability to communicate intricate chemistry concepts with precision in both written and verbal forms.
  • Experience in developing, reviewing, or publishing scientific, technical, or educational chemistry materials (such as research articles, curricula, industry reports, or peer reviews).
  • Familiarity with multiple sub-disciplines within chemistry (organic, inorganic, physical, analytical, materials science, etc.) and the ability to adapt explanations for diverse audiences.
  • Exceptional attention to detail with a commitment to scientific accuracy and methodological rigor.
  • Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
  • Strong collaboration skills, particularly in remote or cross-functional environments.