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Weekend Remote Artificial Intelligence Jobs in Brooklyn, NY

Mercor

Artificial Intelligence Researcher

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level ...

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Weekend Remote Artificial Intelligence information

See Brooklyn, NY salary details

$45.2K

$85.9K

$139.8K

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

As of May 28, 2026, the average yearly pay for weekend remote artificial intelligence in Brooklyn, NY is $85,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $114,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Weekend Remote Artificial Intelligence Specialist, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or certifications. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and remote collaboration tools is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills for this role. These competencies ensure that AI projects are developed efficiently, issues are resolved promptly, and team collaboration remains effective even in a remote, weekend-based environment.

How does working as a Weekend Remote Artificial Intelligence specialist typically differ from standard weekday AI roles?

Weekend remote AI positions often focus on maintaining and monitoring AI systems, troubleshooting urgent issues, or supporting ongoing projects outside of regular business hours. You may work more independently, but will still collaborate with team members through digital channels to ensure smooth operations. This role can offer flexibility and the chance to manage critical incidents, making it a great fit for those who prefer non-traditional schedules or seek to supplement their weekday work. Additionally, weekend remote roles can provide unique exposure to real-time problem-solving and often serve as a stepping stone to more senior AI positions.

What is a Weekend Remote Artificial Intelligence job?

A Weekend Remote Artificial Intelligence job involves working on AI-related projects or tasks from a remote location, typically during weekends. These roles may include developing machine learning models, analyzing data, building AI-powered applications, or providing support for AI systems. The flexibility allows professionals to work part-time or as a side gig, often for companies needing support outside regular weekday hours. This type of job is ideal for those with AI expertise who seek flexible schedules and remote work opportunities.

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

AspectWeekend Remote Artificial IntelligenceWeekend Remote Data Science
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentRemote, project-based, collaborative teamsRemote, data-focused, cross-functional teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, tech, healthcare
Common Search IntentAI-specific roles, machine learning projectsData analysis, insights, predictive modeling

Weekend Remote Artificial Intelligence and Weekend Remote Data Science share similarities in remote work settings and required technical skills. However, AI roles focus more on developing algorithms and machine learning models, while Data Science emphasizes data analysis and insights. Both roles are in high demand across various industries and often overlap in skills and tools used.

What are popular job titles related to Weekend Remote Artificial Intelligence jobs in Brooklyn, NY? For Weekend Remote Artificial Intelligence jobs in Brooklyn, NY, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Artificial Intelligence jobs in Brooklyn, NY look for? The top searched job categories for Weekend Remote Artificial Intelligence jobs in Brooklyn, NY are:
What cities near Brooklyn, NY are hiring for Weekend Remote Artificial Intelligence jobs? Cities near Brooklyn, NY with the most Weekend Remote Artificial Intelligence job openings:
Weekend Remote Artificial Intelligence jobs near you

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

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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