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Junior Artificial Intelligence Remote Jobs (NOW HIRING)

LMI

Artificial Intelligence Lead

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... This position is anticipated to be majority remote, but with the ability to travel and visit the ...

LMI

Artificial Intelligence Lead

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... This position is anticipated to be majority remote, but with the ability to travel and visit the ...

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

As of Aug 8, 2026, the average hourly pay for junior artificial intelligence remote in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior artificial intelligence professional working remotely, and why are they important?

To thrive as a Junior Artificial Intelligence Remote professional, you generally need a foundational understanding of machine learning concepts, programming skills in Python, and a relevant degree in computer science or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems such as Git is often required. Strong problem-solving abilities, effective written communication, and self-motivation are crucial soft skills, especially in a remote setting. These skills and qualities are essential for successfully developing AI solutions, collaborating with distributed teams, and managing tasks independently.

What does a junior artificial intelligence remote do?

A Junior Artificial Intelligence Remote position typically involves assisting in the development, testing, and implementation of AI models and algorithms under the supervision of senior team members. Responsibilities may include data preprocessing, coding, debugging, and supporting machine learning projects from a remote location. This role often requires basic programming skills, familiarity with AI concepts, and the ability to collaborate with a distributed team. It's an entry-level opportunity to gain hands-on experience in AI while working from anywhere.

What are some typical challenges faced by junior artificial intelligence professionals working remotely, and how can they be addressed?

Junior AI professionals working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborative problem-solving, and staying updated with rapidly evolving technologies. To address these issues, it’s important to proactively seek regular check-ins with team members, participate in virtual study groups or code reviews, and leverage online resources and forums. Building strong communication habits and actively engaging in company knowledge-sharing sessions can also help bridge the gap and foster professional growth.
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What cities are hiring for Junior Artificial Intelligence Remote jobs? Cities with the most Junior Artificial Intelligence Remote job openings:
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Junior Artificial Intelligence Remote jobs near you
Infographic showing various Junior Artificial Intelligence Remote job openings in the United States as of August 2026, with employment types broken down into 57% Full Time, 29% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Artificial Intelligence Software Engineer

10xTalents

Manhattan, NY • On-site, Remote

Full-time

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

Job description

Artificial Intelligence Software Engineer 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. #J-18808-Ljbffr

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