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Remote Faang Engineer Jobs in Seattle, WA (NOW HIRING)

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Remote Faang Engineer information

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$43.2K

$131.9K

$217.9K

How much do remote faang engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote faang engineer in Seattle, WA is $131,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $172,400.00 per year, depending on experience, location, and employer.

What is a remote FAANG engineer?

A Remote FAANG Engineer is a software engineer who works for one of the major tech companies known as FAANG (Facebook, Amazon, Apple, Netflix, and Google) but performs their job duties remotely, rather than from a physical office. These engineers design, develop, and maintain software systems while collaborating with their teams using digital communication tools. Remote FAANG Engineers are expected to have strong technical skills, excellent communication abilities, and the discipline to work independently. Their roles often involve solving complex problems, participating in code reviews, and contributing to high-impact projects from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote FAANG engineer?

To thrive as a Remote FAANG Engineer, you need strong programming skills (often in languages like Python, Java, or C++), a solid understanding of algorithms and data structures, and typically at least a bachelor's degree in computer science or related field. Familiarity with distributed systems, cloud platforms (such as AWS, GCP, or Azure), and version control tools like Git is essential, and certifications in cloud technologies can be advantageous. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration and productivity. These competencies ensure you can deliver high-quality code, work effectively across global teams, and meet the rigorous technical standards of FAANG companies.

How does a remote FAANG engineer typically collaborate with team members across different time zones?

Remote FAANG engineers frequently work with colleagues spread across various locations, so effective communication is key. Teams often rely on asynchronous tools like Slack, Jira, and collaborative docs, as well as regular video meetings scheduled to accommodate multiple time zones. It's common to have flexible work hours to enable overlap with teammates, and documentation is emphasized to ensure everyone stays aligned. Building strong relationships and proactively sharing updates helps maintain productivity and a sense of connection within the team.
What are the most commonly searched types of Faang Engineer jobs in Seattle, WA? The most popular types of Faang Engineer jobs in Seattle, WA are:
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What cities near Seattle, WA are hiring for Remote Faang Engineer jobs? Cities near Seattle, WA with the most Remote Faang Engineer job openings:
Remote Faang Engineer jobs near you
Infographic showing various Remote Faang Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $131,857 per year, or $63.4 per hour.

ML Research Engineer - PhD - AI Trainer

Mercor

Seattle, WA • Remote

$75 - $90/hr

Full-time

Re-posted 21 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Human Baseliner for Open-Ended ML Research Tasks
Type: Contract
Compensation: $75–$90/hour
Location: Remote
Commitment: 20+ hours/week

Role Responsibilities

  • Attempt open-ended machine learning research tasks under a fixed time and compute budget.
  • Work independently in a sandboxed Linux environment with internet access.
  • Use preferred tools, including IDEs and AI coding assistants like Cursor, Claude Code, and ChatGPT.
  • Record full working sessions via screen recording.
  • Complete pre-task and post-task questionnaires.
  • Submit final work product, screen recording, and completed questionnaires for evaluation.

Qualifications

Must-Have

  • 3+ years of machine learning experience. Time in a PhD program counts.
  • Attended a top-100 university or worked at FAANG or a comparable company.
  • Experience with PyTorch, JAX, or TensorFlow.
  • Deep expertise in at least one focus area: pretraining, PPO, reward shaping, fine-tuning, LoRA, RLHF, architecture design, contrastive training, generative modeling, multilingual experience, or data pipelines.

Required Domain Expertise

  • Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture.

Logistics

  • One baseline attempt per contractor per task.
  • Each task may only be attempted once.
  • All work is confidential and covered by NDA.
  • Compute and environment are provided; no personal GPU required.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor