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Remote Master Science Jobs in Phoenix, AZ (NOW HIRING)

YO AI Labs

AI Consulting Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA ...

3B Staffing LLC

Senior Data Scientist

Phoenix, AZ · On-site +1

But remote working in the USA is also fine as long as they can work in PST time zone. Role ... Master's or Ph.D. in Computer Science, Machine Learning , Data Science, Statistics, or a related ...

3B Staffing LLC

Senior Data Scientist

Phoenix, AZ · On-site +1

But remote working in the USA is also fine as long as they can work in PST time zone. Role ... Master's or Ph.D. in Computer Science, Machine Learning , Data Science, Statistics, or a related ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Master's degree in a STEM field * 4 years of proficiency in SQL * 4 years of proficiency in Python

Danaher

Principal Clinical Scientist

Phoenix, AZ · On-site +1

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Advanced degree in Science, Healthcare, or Regulatory/Clinical Affairs. * Professional ...

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All JobsMaster Science JobsRemote Master Science JobsRemote Master Science Jobs in Phoenix, AZ

Remote Master Science information

See Phoenix, AZ salary details

$12

$57

$80

How much do remote master science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote master science in Phoenix, AZ is $57.61, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $65.62 per hour, depending on experience, location, and employer.

What is a remote Master of Science degree?

A Remote Master of Science (MSc) degree is a postgraduate academic program that allows students to complete their studies online or through distance learning, rather than attending classes in person. These programs are designed to provide flexibility for students who may be working professionals or have other commitments. Coursework, assignments, and sometimes exams are conducted online, and students may have access to virtual resources, faculty, and peer collaboration. Remote MSc degrees are offered in a variety of scientific and technical fields and are typically equivalent in rigor and recognition to on-campus programs.

What are some common challenges faced by remote Master of Science professionals, and how can they overcome them?

Remote Master of Science professionals often encounter challenges such as maintaining effective communication with their team, managing time zones, and staying motivated without in-person supervision. To overcome these obstacles, it's important to establish clear communication channels, set a structured daily schedule, and use collaboration tools like video conferencing and project management software. Regular check-ins with supervisors and peers can also help foster a sense of connection and accountability, ensuring that projects stay on track and professional development continues remotely.

What are the key skills and qualifications needed to thrive as a remote Master Science teacher, and why are they important?

To thrive as a Remote Master Science Teacher, you need deep subject matter expertise in science, a teaching credential, and experience in curriculum design or instruction. Familiarity with online learning platforms, virtual classroom tools, and digital assessment systems is typically required. Strong communication, adaptability, and student engagement skills help educators connect with diverse learners in a virtual environment. These skills are essential for delivering effective instruction and fostering student success in remote science education.

What is the difference between Remote Master Science vs Remote Data Scientist?

AspectRemote Master ScienceRemote Data Scientist
Required CredentialsMaster's degree in Science, related certificationsMaster's degree in Data Science, statistics, or related field
Work EnvironmentRemote, research-focused, analyticalRemote, data analysis, modeling, and visualization
Industry UsageResearch institutions, academia, scientific organizationsTech companies, finance, healthcare, e-commerce
Common Search IntentUnderstanding scientific roles, research projectsData analysis, machine learning, predictive modeling

The Remote Master Science role typically involves scientific research, experiments, and analysis in academic or research settings, requiring advanced scientific credentials. In contrast, a Remote Data Scientist focuses on analyzing data, building models, and deriving insights for business applications. While both roles require strong analytical skills and often similar educational backgrounds, their work environments and industry applications differ significantly.

What are popular job titles related to Remote Master Science jobs in Phoenix, AZ?

For Remote Master Science jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Master Science jobs in Phoenix, AZ look for?

The top searched job categories for Remote Master Science jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote Master Science jobs?

Cities near Phoenix, AZ with the most Remote Master Science job openings:

Remote Master Science jobs near you
Infographic showing various Remote Master Science job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $119,832 per year, or $57.6 per hour.

AI Data Science Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$100 - $200/hr

Part-time

Posted 24 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.