ZipRecruiter

Log In

2

Evening Remote Artificial Intelligence Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsEvening Artificial Intelligence JobsEvening Remote Artificial Intelligence Jobs

Evening Remote Artificial Intelligence information

See salary details

$40

$60

$86

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

As of Jun 11, 2026, the average hourly pay for evening remote artificial intelligence in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Evening Remote Artificial Intelligence Specialist, and why are they important?

To thrive as an Evening Remote Artificial Intelligence Specialist, you need a solid background in computer science, machine learning, and data analysis, often supported by a relevant degree and experience with AI projects. Familiarity with programming languages like Python, AI frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or Azure is typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and self-motivation are key soft skills for collaborating remotely and managing evening schedules. These skills ensure high-quality AI solutions, seamless remote teamwork, and the flexibility needed to succeed in non-traditional work hours.

What are some typical challenges faced by professionals working evening remote shifts in Artificial Intelligence roles?

Evening remote AI professionals often encounter challenges such as managing collaboration across different time zones, maintaining work-life balance, and staying connected with team meetings or updates that occur during regular business hours. Additionally, working evenings may mean troubleshooting urgent issues independently, as immediate support from colleagues or supervisors may be limited. To succeed in this environment, strong self-management skills and proactive communication are essential, as is leveraging asynchronous tools to stay aligned with the broader team.

What is an Evening Remote Artificial Intelligence job?

An Evening Remote Artificial Intelligence job involves working on AI-related tasks, such as developing machine learning models, analyzing data, or supporting AI systems, during evening hours from a remote location. These positions are ideal for those who prefer flexible schedules or need to balance other commitments during the day. Responsibilities may include programming, researching AI technologies, or collaborating with teams virtually. Evening remote AI roles can be found in various industries like technology, healthcare, finance, and more.

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

AspectEvening Remote Artificial IntelligenceEvening Remote Data Science
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in Data Analysis/Science
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, project-based
Industry UsageTech companies, startups, research institutionsTech firms, finance, healthcare, research organizations
Search & Comparison IntentUnderstanding AI-specific roles and skillsUnderstanding data analysis and science roles

While both roles are remote and require similar educational backgrounds, Evening Remote Artificial Intelligence focuses on developing AI models and algorithms, whereas Evening Remote Data Science emphasizes analyzing data to inform business decisions. Both are in high demand across tech and research industries, but AI roles often require specialized knowledge in machine learning and neural networks.

More about Evening Remote Artificial Intelligence jobs
What cities are hiring for Evening Remote Artificial Intelligence jobs? Cities with the most Evening Remote Artificial Intelligence job openings:
What are the most commonly searched types of Remote Artificial Intelligence jobs? The most popular types of Remote Artificial Intelligence jobs are:
What states have the most Evening Remote Artificial Intelligence jobs? States with the most job openings for Evening Remote Artificial Intelligence jobs include:
What job categories do people searching Evening Remote Artificial Intelligence jobs look for? The top searched job categories for Evening Remote Artificial Intelligence jobs are:
Evening Remote Artificial Intelligence jobs near you
Infographic showing various Evening Remote Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 17% Part Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

Posted 8 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.

Or refer someone

Apply