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Remote Data Science Civil Engineering Jobs (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

New York, NY · Remote

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Raymond

Civil Designer Intern

Conyers, GA · On-site +1

$14 - $18.25/hr

Conyers, GA / Remote or Hybrid (Multiple Raymond Offices) About Raymond: Raymond is a ... Strong math, science, and analytical skills * * Interest in engineering design, drafting, and ...

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Remote Data Science Civil Engineering information

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$44.5K

$129.7K

$177.5K

How much do remote data science civil engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data science civil engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a remote data science civil engineering?

A remote data science civil engineering job combines the principles of civil engineering with data science techniques, allowing professionals to analyze, model, and interpret complex engineering data from a remote location. These roles typically involve tasks such as data analysis, predictive modeling, simulation, and optimization to improve infrastructure design, construction, and maintenance. Professionals in this field use programming languages, statistical methods, and engineering software to solve real-world civil engineering problems, all while working outside of a traditional office environment.

How does a remote data science role in civil engineering typically interact with on-site engineering teams to ensure project alignment?

In a remote data science position within civil engineering, frequent collaboration with on-site engineering teams is essential to ensure data-driven insights align with practical project requirements. This is commonly achieved through regular video meetings, shared project management tools, and clear documentation of data methodologies and results. Remote data scientists often participate in cross-functional team discussions to translate complex analyses into actionable recommendations, bridging the gap between data insights and field implementation. Effective communication and proactive engagement are key to overcoming challenges posed by physical distance.

What are the key skills and qualifications needed to thrive as a remote data science civil engineer, and why are they important?

To thrive as a Remote Data Science Civil Engineer, you need a solid background in civil engineering principles, data analysis, and proficiency with programming languages like Python or R, often supported by an engineering degree and relevant certifications. Familiarity with software such as AutoCAD, GIS tools, data visualization platforms, and cloud-based collaboration systems is typically required. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively across virtual teams and translate data insights into practical engineering solutions. These capabilities are essential for leveraging data to drive innovation and efficiency in civil engineering projects while working remotely.

What is the difference between Remote Data Science Civil Engineering vs Remote Structural Engineering?

AspectRemote Data Science Civil EngineeringRemote Structural Engineering
Required CredentialsBachelor's or Master's in Data Science, Civil Engineering, or related fields; certifications in data analysis or civil engineeringBachelor's or Master's in Civil or Structural Engineering; PE license may be preferred
Work EnvironmentData analysis, modeling, and reporting using software like Python, R, or SQL; collaboration via online toolsDesign, analysis, and review of structural projects; remote collaboration with teams and clients
Employer & Industry UsageTech firms, consulting agencies, government agenciesConstruction firms, engineering consultancies, government agencies

Remote Data Science Civil Engineering focuses on data analysis and modeling within civil engineering projects, while Remote Structural Engineering emphasizes designing and analyzing structural components remotely. Both roles require engineering credentials but differ in daily tasks and software tools used.

Can I work remotely as a data scientist?

Remote data science roles, including those in civil engineering, are common and often involve analyzing large datasets, building models, and using tools like Python or R. Many companies offer remote positions with flexible schedules, but some roles may require on-site visits or collaboration, depending on project needs.

What cities are hiring for Remote Data Science Civil Engineering jobs?

Cities with the most Remote Data Science Civil Engineering job openings:

What are the most commonly searched types of Data Science Civil Engineering jobs?

The most popular types of Data Science Civil Engineering jobs are:

What states have the most Remote Data Science Civil Engineering jobs?

States with the most job openings for Remote Data Science Civil Engineering jobs include:

Remote Data Science Civil Engineering jobs near you
Infographic showing various Remote Data Science Civil Engineering job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI Data Science Expert - Remote

YO AI Labs

Chicago, IL • Remote

$100 - $200/hr

Part-time

Posted 8 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.