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Remote Data Modeler Jobs in Chesapeake, VA (NOW HIRING)

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Showing results 21-40

Remote Data Modeler information

See Chesapeake, VA salary details

$10

$57

$80

How much do remote data modeler jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote data modeler in Chesapeake, VA is $57.02, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $66.30 per hour, depending on experience, location, and employer.

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 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 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 are popular job titles related to Remote Data Modeler jobs in Chesapeake, VA?

For Remote Data Modeler jobs in Chesapeake, VA, the most frequently searched job titles are:

What cities near Chesapeake, VA are hiring for Remote Data Modeler jobs?

Cities near Chesapeake, VA with the most Remote Data Modeler job openings:

Infographic showing various Remote Data Modeler job openings in Chesapeake, VA as of June 2026, with employment types broken down into 22% As Needed, 11% Temporary, and 67% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $118,604 per year, or $57 per hour.

Corporate Counsel - Remote

micro1 AI

Hampton, VA • Remote

$90 - $130/hr

Part-time

Re-posted 18 days ago


Job description

Role Title: General Counsel


Role Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite legal professionals who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Create, review, and refine contract negotiation playbooks based on diverse real-world scenarios and company requirements.
  3. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of Counsel experience focused on technology transactions, particularly negotiating MSAs, NDAs, DPAs, APAs and SPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.