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Weekend Remote Artificial Intelligence Finance Jobs

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please ... markets, including financial services, manufacturing, telecommunications, chemical services ...

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Weekend Remote Artificial Intelligence Finance information

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$43K

$81.7K

$133K

How much do weekend remote artificial intelligence finance jobs pay per year?

As of Jun 10, 2026, the average yearly pay for weekend remote artificial intelligence finance in the United States is $81,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Remote Artificial Intelligence Finance vs Weekend Remote Data Science Finance?

AspectWeekend Remote Artificial Intelligence FinanceWeekend Remote Data Science Finance
Required CredentialsTypically requires a degree in AI, Computer Science, or related fields; certifications in AI or machine learning are commonUsually requires a degree in Data Science, Statistics, or related fields; certifications in data analysis or visualization are common
Work EnvironmentRemote, project-based, often collaborative with AI teamsRemote, analytical, often involves data modeling and reporting
Employer & Industry UsageFinancial firms, fintech startups, AI-focused companiesFinancial institutions, investment firms, analytics companies

Weekend Remote Artificial Intelligence Finance and Weekend Remote Data Science Finance share similarities in remote work and finance industry focus. However, AI roles emphasize machine learning and AI-specific skills, while Data Science roles focus on data analysis and statistical modeling. Both are in high demand for financial applications but differ in technical specialization.

More about Weekend Remote Artificial Intelligence Finance jobs
What cities are hiring for Weekend Remote Artificial Intelligence Finance jobs? Cities with the most Weekend Remote Artificial Intelligence Finance job openings:
What states have the most Weekend Remote Artificial Intelligence Finance jobs? States with the most job openings for Weekend Remote Artificial Intelligence Finance jobs include:
What job categories do people searching Weekend Remote Artificial Intelligence Finance jobs look for? The top searched job categories for Weekend Remote Artificial Intelligence Finance jobs are:
Infographic showing various Weekend Remote Artificial Intelligence Finance job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $81,728 per year, or $39.3 per hour.

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY โ€ข On-site, Remote

Other

Posted 7 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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