Top Remote AI Engineer Jobs

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Develop and integrate AI features in Signals Notebook, collaborate with teams, ensure reliability and performance, and craft reusable code.

The Lead AI Platform Engineer will drive the evolution of engineering platforms for healthcare solutions, leading design and implementation of platform services for AI teams while ensuring security, scalability, and compliance with regulatory standards.

The role involves profiling and optimizing AI workloads on GPU and CPU clusters, focusing on performance analysis, benchmarking, and high-performance networking.

As a Full-Stack Software Engineer, you'll develop features for a voice AI platform, integrating various 3rd party systems and enhancing the user experience.

Design and deploy AI/ML solutions for real-world problems, collaborating with teams to build, evaluate, and integrate models into production systems.

As a Staff Software Engineer in Applied AI, you'll develop and deploy AI product features, collaborate with cross-functional teams, and advocate for customer needs, utilizing technologies such as TypeScript, Node.js, and LLM APIs.

Design, develop and deploy AI/ML solutions; oversee end-to-end AI projects; implement ML pipelines; advocate for responsible AI practices.

Lead design and delivery of platform features, mentor engineers, implement backend services in Python and React, ensuring high-quality engineering.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

The Solutions Engineer role involves designing AWS-based customer experience solutions, integrating generative AI, and leading technical workshops with clients.

Lead the design, development, and deployment of AI solutions using Microsoft 365 Copilot, collaborating with stakeholders and ensuring compliance.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

The role involves enhancing high-performance AI and networking environments, collaborating on infrastructure benchmarks, and mentoring teams in deep learning implementations.

Lead architecture and implementation of conversational AI systems, build scalable backend services and REST APIs, drive high-impact projects, integrate external partners and carriers, collaborate with Data Science on ML/LLM solutions, and ensure platform performance and scalability.

The Principal AI Forward Deployed Engineer drives AI adoption and implementation at enterprise accounts, advising senior finance stakeholders and managing AI use cases and change management strategies.

As a Full Stack Software Engineer, you'll design backend services for AI capabilities, manage data flows, and collaborate on user-facing experiences across the stack.

The Senior AI Platform Engineer will design, build, and deploy conversational AI systems, manage technical delivery for clients, and ensure reliability and performance in production, handling real-time constraints and error recovery during implementations.

The Principal Software Engineer will lead AI systems development and mentor teams, driving AI adoption and ensuring compliance with healthcare regulations.

Design and build infrastructure for AI agent systems, focusing on high-performance Rust services and reliable ML infrastructure for large-scale production environments.