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Remote Ai Engineer Jobs in Renton, WA (NOW HIRING)

Stripe

Backend Engineer, AI Security

Seattle, WA · On-site +1

$190.40K - $285.60K/yr

Backend Engineer, AI Security Stripe is a financial infrastructure platform for businesses ... remote location (35+ miles or 56+ km from a Stripe office). Pay and Benefits The annual US base ...

DataAnnotation

QA Engineer - AI Trainer

Seattle, WA · Remote

$40 - $75/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

QA Engineer - AI Trainer

Kent, WA · Remote

$40 - $75/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

QA Engineer - AI Trainer

Tacoma, WA · Remote

$40 - $75/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

QA Engineer - AI Trainer

Federal Way, WA · Remote

$40 - $75/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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How much do remote ai engineer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for remote ai engineer in Renton, WA is $60.33, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $70.05 per hour, depending on experience, location, and employer.

What is a Remote AI Engineer job?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What are the key skills and qualifications needed to thrive in the Remote Ai Engineer position, and why are they important?

To thrive as a Remote AI Engineer, you need a strong background in machine learning, deep learning, programming (Python, TensorFlow, PyTorch), and a relevant degree in computer science or a similar field. Familiarity with cloud platforms (such as AWS, GCP, or Azure), version control systems like Git, and relevant certifications (e.g., AWS Certified Machine Learning) are beneficial. Excellent problem-solving skills, self-motivation, clear communication, and the ability to collaborate in a distributed team set exceptional candidates apart. These competencies are crucial for effectively building, deploying, and maintaining AI solutions in a remote, fast-paced environment.

What is it like collaborating with team members as a Remote AI Engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.
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Remote Ai Engineer jobs near you
Security Engineer - AI Trainer

Security Engineer - AI Trainer

DataAnnotation

Seattle, WA • Remote

$40 - $75/hr

Part-time

Posted 8 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for experienced cybersecurity professionals to help advance AI development. Cybersecurity platforms are increasingly powered by AI — but these systems still need practitioners with real-world experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated security content, solving technical security problems, and providing feedback that directly shapes how these systems reason about real-world threats and defenses. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation and paid work will become available to you through our platform.

Benefits:

  • Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  • Flexible schedule: choose which projects you take on and when you work.
  • Projects are paid hourly starting at $50-75+/hr, with bonuses for high-quality and high-volume work
  • Impact: help shape the future of AI technologies built for cybersecurity.

Responsibilities:

  • Evaluate AI-generated cybersecurity content — including threat analysis, vulnerability assessments, and offensive security techniques — for real-world accuracy and validity.
  • Design and solve security-focused technical problems used to train AI systems.
  • Write clear technical explanations and security-relevant code.
  • Provide feedback that directly shapes the next generation of AI security models.

Qualifications:

  • 2+ years of hands-on experience in a cybersecurity role — such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations.
  • Some coding experience required; comfort navigating and patching a codebase is key.
  • Fluency in English (native or bilingual level) with strong writing skills.
  • A bachelor's degree is preferred.
  • Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH, and similar).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

#cybersecurity