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Artificial Neural Network Jobs (NOW HIRING)

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

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Artificial Neural Network information

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$22K

$106.6K

$162.5K

How much do artificial neural network jobs pay per year?

As of Jun 9, 2026, the average yearly pay for artificial neural network in the United States is $106,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is the difference between Artificial Neural Network vs Data Scientist?

AspectArtificial Neural NetworkData Scientist
Required CredentialsKnowledge of machine learning, programming, mathematicsDegree in statistics, computer science, or related field; often includes certifications
Work EnvironmentResearch labs, tech companies, AI development teamsData analysis, modeling, business insights in various industries
Industry UsageAI, machine learning, deep learning projectsData analysis, predictive modeling, decision support

Artificial Neural Networks are algorithms used within machine learning to model complex patterns, while Data Scientists analyze data to extract insights and build models, often utilizing neural networks as tools. Both roles require strong technical skills but focus on different aspects of data and AI development.

What are some common challenges faced when working as an Artificial Neural Network Engineer?

As an Artificial Neural Network Engineer, one common challenge is managing the balance between model complexity and computational efficiency, especially when deploying models in real-world applications. Ensuring high-quality, well-labeled data is another hurdle, as the performance of neural networks heavily depends on the data used for training. Additionally, keeping up with rapidly evolving frameworks and research can be demanding but is essential for staying competitive in the field. Collaboration with data scientists, domain experts, and software engineers is frequent, requiring strong communication skills to translate model outputs into actionable business insights.

What are the key skills and qualifications needed to thrive as an Artificial Neural Network Engineer, and why are they important?

To thrive as an Artificial Neural Network Engineer, you need a strong background in mathematics, computer science, and machine learning, often supported by a relevant degree and experience in AI research or development. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and understanding of deep learning architectures is essential. Analytical thinking, problem-solving, and effective communication are vital soft skills for innovating and collaborating within multidisciplinary teams. These skills ensure the accurate design, implementation, and optimization of neural network models for solving complex real-world problems.

What are Artificial Neural Networks?

Artificial Neural Networks (ANNs) are computing systems inspired by the biological neural networks that make up animal brains. They consist of interconnected nodes (or 'neurons') organized in layers, which process data by learning patterns from examples. ANNs are the foundation of many modern AI applications, such as image recognition, natural language processing, and predictive analytics. By adjusting connections and weights based on input data, ANNs can learn to perform complex tasks without being explicitly programmed.
More about Artificial Neural Network jobs
What states have the most Artificial Neural Network jobs? States with the most job openings for Artificial Neural Network jobs include:
Artificial Intelligence (AI) Tutor

Artificial Intelligence (AI) Tutor

Varsity Tutors

Lowell, MA • Remote

$40/hr

Part-time

Posted 4 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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