10 Remote AI Engineer Jobs Paying Up to $425K

Resume Captain Lighthouse Icon

Today’s List at a Glance

A hand-picked list of top-tier roles for ambitious professionals. Here’s the breakdown:

  • πŸ’° Salary Range: $48K – $425K/yr
  • 🏒 Top Companies Hiring: Leading firms like NVIDIA, Thomson Reuters, and CME Group are actively seeking talent.
  • πŸ“ Geographic Spread: Predominantly remote positions (8 out of 10) with key on-site opportunities in Chicago, IL.
  • πŸͺœ Seniority Level: A mix of roles, from AI Engineer to Senior Generative AI Engineer, catering to both experienced individual contributors and those ready for leadership.

Featured Generative AI Engineering Opportunities

Generative AI Engineer at CME Group

πŸ“ Location: Chicago, IL

πŸ’° Salary: $134.6K – $224.3K/yr

Why it’s a great opportunity: This on-site role offers a strong salary and focuses on implementing cutting-edge GenAI frameworks on Google Cloud Platform within a leading finance company.

View Job Post →

Generative AI Engineer at Turing.com

πŸ“ Location: Anywhere

πŸ’° Salary: Not specified

Why it’s a great opportunity: A fully remote Generative AI Engineer position at a rapidly growing company like Turing.com offers significant flexibility and impact.

View Job Post →

Senior Generative AI Engineer at EIS

πŸ“ Location: Anywhere

πŸ’° Salary: Not specified

Why it’s a great opportunity: This senior-level remote role provides an opportunity to lead generative AI initiatives from anywhere, offering significant autonomy and influence.

View Job Post →

Remote Generative AI Engineer at Insight Global

πŸ“ Location: Anywhere

πŸ’° Salary: Not specified

Why it’s a great opportunity: A straightforward remote generative AI engineering role with Insight Global, suitable for those seeking direct involvement in AI development.

View Job Post →

Our AI Resume Optimizer can help you tailor your resume’s content, section by section, for each of these specific roles.

Optimize Your Resume Now

Fullstack + AI Engineer – TX, USA (Remote) at Photon

πŸ“ Location: Anywhere

πŸ’° Salary: 48K–168K a year

Why it’s a great opportunity: This role combines fullstack development with AI engineering, offering a broad skill development opportunity in a remote setup with benefits.

View Job Post →

AI Engineer (100% Remote) at Founders Workshop

πŸ“ Location: Anywhere

πŸ’° Salary: Not specified

Why it’s a great opportunity: A fully remote AI Engineer position at Founders Workshop offers the chance to work on innovative projects within a startup environment.

View Job Post →

AI Engineer (Fully remote, U.S. Only) at Incept AI

πŸ“ Location: Anywhere

πŸ’° Salary: Not specified

Why it’s a great opportunity: This U.S. remote position at Incept AI offers a dedicated focus on AI development in a completely distributed team.

View Job Post →

Generative AI & Machine Learning Engineer at Thomson Reuters

πŸ“ Location: US-Anywhere Remote

πŸ’° Salary: $116K – $217K *

Why it’s a great opportunity: This remote role at Thomson Reuters provides a compelling salary and combines generative AI with broader ML responsibilities, ideal for comprehensive experience.

View Job Post →

Senior Generative AI Research Engineer at NVIDIA

πŸ“ Location: US-Anywhere Remote

πŸ’° Salary: $224K – $425K *

Why it’s a great opportunity: A high-paying senior remote role at NVIDIA, focusing on cutting-edge generative AI research and large-scale model optimization, is perfect for experienced professionals.

View Job Post →

AI Deep Learning Quantitative Analyst (Remote) at Nurp

πŸ“ Location: US-Anywhere Remote

πŸ’° Salary: $200K – $260K *

Why it’s a great opportunity: This high-compensation remote role uniquely blends AI, deep learning, and quantitative analysis in the finance sector, offering specialized career growth.

View Job Post →

Resume Captain Steering Wheel Icon

Strategic Playbook for Landing These Roles

🎯

Profile of an Ideal Candidate

  • Core Responsibility: The main goal of these roles is to design, develop, and deploy cutting-edge AI and machine learning models, with a strong emphasis on generative AI solutions.
  • Essential Experience: A strong background in machine learning, deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (GCP, AWS) is consistently requested.
  • Key Competencies: Beyond technical prowess, these roles demand exceptional problem-solving skills, a research-oriented mindset, and the ability to translate complex AI concepts into practical applications.
πŸ“„

The Resume Blueprint: Keywords & Metrics

Keywords to Target:

Generative AI Machine Learning Deep Learning Python Cloud Platforms (GCP/AWS)

Metrics that Matter:

βœ… Developed and deployed a new generative AI model that reduced content creation time by 30% and improved engagement by 15%.
βœ… Optimized existing machine learning pipelines, resulting in a 20% reduction in processing time and a 10% increase in model accuracy.
βœ… Led a team of 3 engineers in the research and implementation of novel deep learning algorithms, contributing to a patent application for a core AI technology.
πŸ’¬

Nailing the Narrative: Your Interview Strategy

Be prepared to answer tough, strategic questions. Here are some specific examples:

“Describe a complex AI research problem you’ve faced that required unconventional thinking. How did you approach it, and what was the ultimate impact of your solution?”

“Given the ethical considerations surrounding generative AI, how do you approach model fairness and bias detection in your development process?”

“Walk me through a project where you had to integrate a new generative AI model into an existing production system. What challenges did you encounter, and how did you overcome them?”

πŸ’‘

Pro Tip: Quantify your achievements and clearly articulate your problem-solving methodology. Highlight your proactive approach to learning and adapting within the rapidly evolving AI landscape.

πŸš€

Put Your Playbook into Action


Sign Up for Free!

Ready to take the next step? Sign up for a free Resume Captain account to access our full suite of AI-powered career tools.

Table of Contents