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

Deloitte

Manager - ServiceNow

Tempe, AZ · On-site +1

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

IQVIA

Clinical Trial Psych Rater

Gilbert, AZ · Remote

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... Our team combines deep scientific expertise with cutting-edge technology to deliver high-quality ...

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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.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Scottsdale, AZ • Remote

Full-time

Re-posted 15 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply