2

Data Science Instructor Remote Jobs in Arizona (NOW HIRING)

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data Engineering ...

Sr Analyst, Data Solution Analyst

Scottsdale, AZ · On-site +1

$86K - $109K/yr

Remote internal associates may also be considered. This role requires expertise in Databricks ... Undergraduate studies in computer science, management information systems, business, statistics ...

Data Engineer (MedInsight)

Phoenix, AZ · On-site +1

$93K - $177K/yr

Bachelor's degree in computer science, engineering, information systems, or related field; or ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

next page

Showing results 1-20

Data Science Instructor Remote information

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

AspectData Science Instructor RemoteData Analyst Remote
Required CredentialsTypically a degree in Data Science, Computer Science, or related field; teaching experienceDegree in Statistics, Mathematics, or related field; analytical skills
Work EnvironmentOnline teaching platforms, educational institutionsRemote data analysis projects, companies, or consulting
Employer & Industry UsageEducational institutions, online course providersBusinesses, finance, healthcare, marketing
Common Search & ComparisonOften compared for teaching roles in data scienceCompared for data analysis roles

While both roles involve working with data, a Data Science Instructor Remote focuses on teaching and curriculum development in data science, whereas a Data Analyst Remote concentrates on analyzing data to inform business decisions. The credentials overlap but differ mainly in job focus and work environment.

What are some common challenges faced by remote Data Science Instructors, and how can they be addressed?

Remote Data Science Instructors often face challenges related to student engagement and communication, as virtual environments can make it harder to gauge comprehension and foster interaction. To address this, instructors can leverage interactive teaching tools, encourage active participation through breakout sessions and live coding, and provide regular, personalized feedback. Additionally, establishing clear communication channels and setting expectations for responsiveness can help bridge the physical distance and create a supportive online learning community.

What does a Data Science Instructor Remote do?

A Data Science Instructor Remote teaches students foundational and advanced concepts in data science through online platforms. They develop lesson plans, deliver lectures or workshops, guide students through hands-on projects, and provide feedback on assignments. Instructors also stay current with industry trends to ensure their teaching materials remain relevant. They may interact with students via video calls, forums, and virtual office hours, supporting learners from diverse backgrounds and locations.

What are the key skills and qualifications needed to thrive as a Data Science Instructor (Remote), and why are they important?

To thrive as a Data Science Instructor (Remote), you need a strong background in data science concepts, programming (Python or R), and a relevant degree or industry experience. Familiarity with data analysis tools like Jupyter Notebook, version control systems like Git, and learning management systems (LMS) is typically required. Outstanding communication, patience, and an ability to explain complex topics clearly help set exceptional instructors apart. These skills ensure students effectively learn analytical techniques and prepare for real-world data science roles in a remote environment.
What are the most commonly searched types of Data Science Instructor jobs in Arizona? The most popular types of Data Science Instructor jobs in Arizona are:
What are popular job titles related to Data Science Instructor Remote jobs in Arizona? For Data Science Instructor Remote jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Science Instructor Remote jobs in Arizona look for? The top searched job categories for Data Science Instructor Remote jobs in Arizona are:
What cities in Arizona are hiring for Data Science Instructor Remote jobs? Cities in Arizona with the most Data Science Instructor Remote job openings:
AI/ML Engineer - Computer Vision with Security Clearance

AI/ML Engineer - Computer Vision with Security Clearance

Prime Solutions Group, Inc

Goodyear, AZ • On-site, Remote

$111K - $133K/yr

Other

Posted 17 days ago


Job description

Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation’s leading defense companies to deliver mission-critical technology. Our work spans the full system lifecycle—from R&D to operational deployment—supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you’ll join a small, agile, and highly skilled team where your expertise has a direct impact. You’ll collaborate with some of the largest and most respected defense organizations while shaping next-generation technology. Position Description:
Develop AI-Powered Computer Vision Solutions for Real-World Mission Applications
Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs. In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments. This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions. Responsibilities include: • Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
• Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
• Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
• Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
• Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
• Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
• Collaborate with software engineers and MLOps teams to integrate models into production environments.
• Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
• Create technical documentation, experiment reports, and performance assessments.
• Support technical reviews, customer briefings, and cross-functional engineering efforts. Requirements:
• U.S. Citizenship
• Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
• 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
• Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
• Experience training and evaluating machine learning models using large datasets. • Experience developing and training computer vision models using deep learning techniques.
• Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
• Experience with model tuning, hyperparameter optimization, and performance evaluation.
• Strong understanding of computer vision fundamentals and image analysis techniques.
• Ability to improve model accuracy, robustness, and operational performance.
• Familiarity with software engineering best practices, Git, and collaborative development workflows. Preferred skills or experience:
• Experience with generative AI technologies, including diffusion models and image generation systems.
• Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
• Experience with object tracking, multi-object tracking, or video analytics.
• Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
• Familiarity with reinforcement learning or autonomous systems.
• Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
• Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
• Experience supporting defense, intelligence, aerospace, or other mission-critical programs. Why Join PSG?
At PSG, you'll work on challenging AI problems that directly support national security missions. You'll have the opportunity to collaborate with highly skilled engineers and researchers while helping shape the next generation of intelligent sensing, computer vision, and AI-enabled systems.
We offer:
• Competitive compensation and benefits
• Professional development and tuition assistance
• Flexible and collaborative engineering culture
• Exposure to cutting-edge AI/ML technologies
• Direct impact on mission-critical programs
• Opportunities to grow into technical leadership roles Bring your passion for AI, computer vision, and machine learning to PSG and help build the next generation of intelligent mission systems. Salary Description:
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs