Remote AI Engineer (2026 Openings)

2026 Remote AI Engineer Job Listings

This curated collection aggregates verified remote AI Engineer opportunities across leading technology, research, and enterprise companies. Open roles span a wide range of seniority levels, from mid-level engineers building and maintaining production machine learning pipelines to senior and lead positions overseeing end-to-end AI product development, model deployment, and cross-functional collaboration with product, data, and research teams. Annual salary ranges for listed roles vary from $125,000 to $335,000, depending on candidate experience, company size, and specialized skill sets. All positions offer fully remote work arrangements, with eligibility for candidates based in supported regions across the U.S. and global markets, per individual employer requirements. Opportunities include work on cutting-edge projects such as large language model fine-tuning, computer vision systems, predictive analytics tools, and AI-powered product features for consumer and enterprise use cases. Built In’s vetted listing ensures all roles are legitimate, with clear requirements and direct application details provided for each opening.

• 2+ years of professional experience in artificial intelligence, machine learning, data science, or related engineering disciplines
• Proficiency in core AI/ML frameworks including TensorFlow, PyTorch, or scikit-learn, with hands-on experience training, tuning, and validating production machine learning models
• Strong programming skills in Python, with familiarity in supporting data engineering and MLOps tools such as SQL, Apache Spark, Airflow, or Docker
• Experience deploying and maintaining machine learning models in production cloud environments (AWS, GCP, or Azure preferred)
• Excellent cross-functional communication skills to collaborate with distributed teams and non-technical stakeholders
• Eligibility to work remotely in the country of the hiring employer’s primary operations
• For senior and lead AI Engineer roles: 5+ years of relevant experience, plus demonstrated success leading AI product development or managing technical AI project teams