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Remote Data Modeler Jobs in Worcester, MA (NOW HIRING)

Analytics Engineer

Waltham, MA · On-site +1

$84K - $101K/yr

Design, build and optimize data models for analytical and operational use cases. * Design, develop ... Our hybrid work model combines the convenience of remote work with access to our great office ...

... modeling * Experience with multi-modal data integration (imaging + clinical + genomic ... Autonomy and flexibility - Remote-first, flexible working. We hire great people and trust them to ...

Sourcing Director (Remote)

Acton, MA · Remote

$150K - $180K/yr

Advanced Data Modeling: Mastery of advanced analytical tools, spend-cube modeling, and macro-driven financial projections to map global supply chain dependencies. * Executive Presence & Collaboration:

Showing results 21-40

Remote Data Modeler information

See Worcester, MA salary details

$10

$58

$82

How much do remote data modeler jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote data modeler in Worcester, MA is $58.59, according to ZipRecruiter salary data. Most workers in this role earn between $52.55 and $68.12 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.

What are popular job titles related to Remote Data Modeler jobs in Worcester, MA?

For Remote Data Modeler jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Remote Data Modeler jobs in Worcester, MA look for?

The top searched job categories for Remote Data Modeler jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Data Modeler jobs?

Cities near Worcester, MA with the most Remote Data Modeler job openings:

Infographic showing various Remote Data Modeler job openings in Worcester, MA as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,857 per year, or $58.6 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Worcester, MA • Remote

$70 - $90/hr

Part-time

Posted 17 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.