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How much do remote artificial intelligence finance jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote artificial intelligence finance in the United States is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

How does a Remote Artificial Intelligence Finance professional typically collaborate with cross-functional teams?

As a Remote Artificial Intelligence Finance professional, you’ll regularly collaborate with data scientists, software engineers, and financial analysts to develop and implement AI-driven financial models. Communication is often handled through virtual meetings, collaborative platforms, and shared documentation to ensure alignment on project goals and deadlines. This role requires proactive engagement and clear communication to bridge the gap between technical AI solutions and finance-specific requirements, making teamwork and adaptability essential for success.

What are the key skills and qualifications needed to thrive as a Remote Artificial Intelligence Finance professional, and why are they important?

To thrive as a Remote Artificial Intelligence Finance professional, you need a strong background in finance, data analysis, and AI concepts, often supported by degrees in finance, computer science, or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), financial modeling software, and data visualization tools is typically required. Exceptional problem-solving abilities, communication, and self-motivation are crucial soft skills for remote collaboration and effective project delivery. These competencies enable you to develop innovative AI-driven financial solutions, ensure accurate analysis, and work efficiently in a remote environment.

What is a Remote Artificial Intelligence Finance job?

A Remote Artificial Intelligence Finance job involves applying AI technologies, such as machine learning and data analysis, to financial processes and decision-making, all while working remotely. Professionals in this field develop algorithms for tasks like fraud detection, credit scoring, investment analysis, and risk management. They often collaborate with financial institutions or fintech companies to automate and enhance financial services, improving efficiency and accuracy. Working remotely allows them to contribute from anywhere, often using cloud-based tools and platforms to access data and communicate with teams.
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Remote Artificial Intelligence Finance jobs near you

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

Posted 11 days ago

Job description

Artificial Intelligence Software Engineer

New York, New York, United States Or refer someone Job Openings

About the Job Artificial Intelligence Software Engineer

Artificial Intelligence Software Engineer - Hybrid/Remote - NYC

No visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.

Responsibilities:

  • Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.
  • Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.
  • Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.
  • Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.
  • Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.
  • Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.
  • Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.
  • Document design specifications, implementation details, and best practices for internal and external stakeholders.
  • Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.
  • Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.
  • Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
  • Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
  • Familiarity with software engineering best practices, including version control, testing, and code review.
  • Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

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