89,000+ Remote AI Jobs in United States - LinkedIn

This LinkedIn job search results page aggregates more than 89,000 remote artificial intelligence (AI) job opportunities available to candidates across the United States. Featured listings span a wide range of roles including Data Scientist I (Tech), fully remote Machine Learning Engineer positions paying up to $85 per hour, fully remote AI Researcher roles paying up to $120 per hour, AI Data Scientist, and other specialized AI and machine learning positions. All posted roles offer fully remote work arrangements, removing on-site office requirements and allowing professionals to work from any location within the U.S. Opportunities are spread across diverse industries including technology, finance, healthcare, e-commerce, and academic research, with openings for entry-level, mid-career, and senior professionals. The page is updated regularly with new postings, serving as a centralized, up-to-date resource for job seekers looking to start or advance their careers in AI, machine learning, data science, and related fields without geographic limitations. Listings include a mix of full-time, contract, and part-time arrangements to suit different candidate preferences.

• Strong foundational knowledge of AI/ML concepts including machine learning algorithms, deep learning, natural language processing (NLP), or computer vision, aligned to the specific role
• Proficiency in relevant programming languages such as Python, R, SQL, or Java
• Experience with data analysis, statistical modeling, and data visualization tools
• For mid-senior roles: 2+ years of professional experience in AI development, data science, or machine learning research
• Ability to work independently, manage deadlines, and collaborate with cross-functional teams in a fully remote work environment
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related technical field; PhD preferred for research-focused AI roles
• Strong verbal and written communication skills to translate technical AI insights for non-technical stakeholders