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Remote Data Science Intern Jobs in Seattle, WA (NOW HIRING)

AI Data Science Expert - Remote

Seattle, WA ยท Remote

$100 - $200/hr

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 ...

New

AI Data Science Expert - Remote

Seattle, WA ยท Remote

$100 - $200/hr

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 ...

New

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

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 ...

New

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 ...

New

Data Scientist

Tukwila, WA ยท On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role The Data Science team at Block turns unique customer and product data into decisions that ...

... data experience who share our company values. Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the internship program requires that ...

Staff Data Scientist - GTM

Seattle, WA ยท On-site +1

$212K - $265K/yr

You will report into the Payer data team and will build a data science roadmap directly with Headway's Chief Commercial Officer. Accurate, proactive commercial insight is a core driver of Headway ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 8+ years of experience in data science or analytics, leading analytics work ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 8+ years of experience in data science or analytics, leading analytics work ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Bachelor's degree in CS, Data Science, or a related technical field. * Soft Skills: Exceptional ...

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Remote Data Science Intern information

See Seattle, WA salary details

$13

$25

$47

How much do remote data science intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote data science intern in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

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

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Seattle, WA? The most popular types of Remote Data Science jobs in Seattle, WA are:
What are popular job titles related to Remote Data Science Intern jobs in Seattle, WA? For Remote Data Science Intern jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Seattle, WA look for? The top searched job categories for Remote Data Science Intern jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Data Science Intern jobs? Cities near Seattle, WA with the most Remote Data Science Intern job openings:
Infographic showing various Remote Data Science Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

AI Data Science Expert - Remote

YO AI Labs

Seattle, WA โ€ข Remote

$100 - $200/hr

Part-time

Posted yesterday

New


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.