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Gradient Jobs in Illinois (NOW HIRING)

Varsity Tutors

Adobe Illustrator Tutor

Skokie, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Dekalb, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Normal, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Evanston, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

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Gradient information

See Illinois salary details

$7

$23

$54

How much do gradient jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for gradient in Illinois is $23.11, according to ZipRecruiter salary data. Most workers in this role earn between $13.29 and $27.00 per hour, depending on experience, location, and employer.

Is Gradient a good company to work for?

Gradient is a company that offers roles in data science and machine learning, often requiring skills in programming and analytics. Employee reviews indicate varying experiences, with some citing a collaborative environment and others noting workload concerns. Prospective employees should research company culture and review current employee feedback for a comprehensive understanding.

What is the difference between Gradient vs Data Analyst?

AspectGradientData Analyst
Required CredentialsTypically requires a background in machine learning, data science, or related fields, often with programming skillsUsually requires a degree in statistics, mathematics, or business, with proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily in tech companies, startups, or research labs focusing on AI and machine learning projectsCommonly in corporate, finance, healthcare, or marketing sectors analyzing business data
Employer & Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for business insights, reporting, and decision-making

While both Gradient and Data Analyst roles involve working with data, Gradient focuses more on machine learning and AI development, requiring programming and technical expertise. Data Analysts primarily interpret and visualize data to support business decisions, often with less emphasis on coding. Understanding these differences helps in choosing the right career path or job search focus.

Why are Gen Z struggling to find jobs?

Gen Z job seekers often face challenges such as limited work experience, high competition, and employers' preference for candidates with specific skills or certifications. Additionally, economic factors and shifts toward remote work can impact their access to opportunities and entry-level positions.

What are Gradient jobs?

Gradient jobs typically refer to roles related to machine learning, artificial intelligence, or technology companies named 'Gradient.' In the context of machine learning, gradients are mathematical tools used in optimization algorithms, such as gradient descent, which is fundamental to training AI models. Professionals working in Gradient jobs might focus on developing, implementing, or optimizing these algorithms, or they could be employed by organizations that provide AI infrastructure or platforms, like Gradient from Paperspace. The responsibilities can range from research and development to software engineering, depending on the specific job role and employer.

What are some common challenges faced by machine learning engineers working on gradient-based optimization techniques?

Machine learning engineers focusing on gradient-based optimization often encounter challenges such as vanishing or exploding gradients, which can hinder model training, especially in deep neural networks. Debugging issues related to convergence, learning rate selection, and ensuring numerical stability are key aspects of the role. Collaboration with data scientists and researchers is essential to refine models and experiment with different optimization strategies. Staying updated with the latest advancements in algorithms and techniques also helps address these challenges effectively.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn over $1 million annually through salaries, bonuses, and stock options. Additionally, successful entrepreneurs, top-tier investment bankers, hedge fund managers, and certain professional athletes or entertainers may reach this income level, often requiring extensive experience, specialized skills, and significant responsibility.

What jobs pay 4000 a week without a degree?

High-paying jobs that can pay around $4,000 a week without a degree include roles such as commercial truck drivers, real estate brokers, and certain skilled trades like electricians or plumbers. These positions often require specialized training, certifications, or experience but do not necessarily require a college degree.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in gradient-based optimization, and why are they important?

To thrive as a Machine Learning Engineer focused on gradient-based optimization, you need a solid background in mathematics, statistics, and computer science, often with a degree in a related field. Expertise in frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of optimization algorithms are typically required, with certifications in data science or machine learning considered valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and explain complex concepts. These skills ensure that you can design, implement, and refine machine learning models that rely on gradient-based methods for optimal performance.
What are popular job titles related to Gradient jobs in Illinois? For Gradient jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Gradient jobs in Illinois look for? The top searched job categories for Gradient jobs in Illinois are:
Gradient jobs near you
Infographic showing various Gradient job openings in Illinois as of July 2026, with employment types broken down into 59% Full Time, 39% Part Time, and 2% Contract. Highlights an 48% Physical, and 52% Remote job distribution, with an average salary of $48,078 per year, or $23.1 per hour.
Artificial Intelligence (AI) Tutor

Artificial Intelligence (AI) Tutor

Varsity Tutors

Highland Park, IL • Remote

$18 - $40/hr

Part-time

Re-posted 10 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Artificial Intelligence (AI) tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Artificial Intelligence (AI) Tutor
  • Advanced Subject Mastery: Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and unsupervised learning, backpropagation, transformer architecture, and bias in AI systems while preparing students for AI research, data science, and technology innovation careers.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing neural networks, preprocessing data, evaluating model performance with metrics, and interpreting AI system outputs. Emphasizes connecting mathematical foundations to practical implementation and applies AI to healthcare, autonomous systems, and creative applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with AI curricula at introductory and intermediate levels and common challenges such as understanding gradient descent mathematics, selecting appropriate model architectures, and interpreting overfitting. Adapts instruction using Python with TensorFlow or PyTorch, interactive notebooks, and real-world data projects to support students from AI concepts introduction through intermediate machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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