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Remote Faang Jobs (NOW HIRING)

Mercor

ML Research Engineer - PhD

San Francisco, CA · Remote

$75 - $90/hr

Remote Commitment: 20+ hours/week Role Responsibilities * Attempt open-ended machine learning ... Attended a top-100 university or worked at FAANG or a comparable company . * Experience with ...

Ditto

$185K - $305K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Experience at scale, ideally at a FAANG or major cloud provider (Google, Meta, Amazon, Microsoft ...

Ditto

$223K - $259K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ... Experience at scale, ideally at a FAANG or major cloud provider (Google, Meta, Amazon, Microsoft ...

Reducto

Account Executive, Enterprise

$320K/yr

... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ... Work with us to build a leave schedule that works for you and your family This is a Remote role for ...

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Remote Faang information

See salary details

$24K

$95.4K

$183.5K

How much do remote faang jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote faang in the United States is $95,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a remote FAANG?

A Remote FAANG job is a position at one of the top tech companies—Facebook (Meta), Apple, Amazon, Netflix, or Google—where employees work from a location of their choice instead of a company office. These roles span various functions, including software engineering, product management, design, and data science. Remote FAANG jobs offer competitive salaries, strong benefits, and access to cutting-edge projects while allowing employees to maintain work-life balance. However, remote employees must navigate challenges like time zone differences, communication barriers, and maintaining visibility within the company. Many FAANG companies now support remote or hybrid work, depending on the specific role and team needs.

What are the key skills and qualifications needed to thrive in a remote FAANG position?

To thrive in a Remote FAANG (Facebook, Apple, Amazon, Netflix, Google) role, candidates need advanced technical expertise in their field (such as software engineering, data science, or product management), a relevant degree, and a strong track record of industry experience. Familiarity with cloud platforms, collaborative coding tools (like Git), and proficiency in languages and frameworks commonly used at FAANG companies (e.g., Python, Java, React) are highly valued; certifications in these areas are a plus. Exceptional communication, self-motivation, and time management skills help candidates excel in a remote, cross-functional team environment. These capabilities are critical because they ensure productivity, effective collaboration, and high-quality output in demanding, fast-paced, and distributed settings.

What are common challenges faced when working remotely for a FAANG company, and how can I overcome them?

One common challenge is maintaining clear communication and alignment with globally distributed teams, especially when working across multiple time zones and cultural contexts. To overcome this, it's important to be proactive in scheduling meetings, documenting work thoroughly, and making use of collaboration tools like Slack, Zoom, and project management platforms. Another challenge is staying focused and motivated without the structure of a traditional office, which can be mitigated by setting regular work hours, creating a dedicated workspace, and engaging in frequent check-ins with your team. Embracing these practices helps ensure you remain connected and productive in a high-performance remote environment.

Can you work for Remote FAANG remotely?

Remote FAANG roles typically refer to positions at major tech companies that offer remote work options. Many of these companies allow employees to work from home, provided they meet specific skill, experience, and sometimes certification requirements, and have a suitable home office setup. Availability of remote work depends on the company's policies and the specific role.
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Cities with the most Remote Faang job openings:

What are the most commonly searched types of Faang jobs?

The most popular types of Faang jobs are:

What states have the most Remote Faang jobs?

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What job categories do people searching Remote Faang jobs look for?

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Remote Faang jobs near you
Infographic showing various Remote Faang job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $95,368 per year, or $45.9 per hour.

AI Researcher - Fully Remote | Upto $120/hr

Mercor

San Francisco, CA • Remote

$120/hr

Full-time

Posted 14 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: LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Type: Contract
Compensation: $100–$120/hour
Location: Remote

Role Responsibilities

  • Train image classifiers and generative image models from scratch. Fine-tune open-weight language models.
  • Optimize models with limited data, compute, and model-size budgets.
  • Enhance model robustness to adversarial inputs and conversations.
  • Compress models to meet size and latency constraints without losing accuracy.
  • Diagnose and resolve training issues effectively.

Qualifications

Must-Have

  • 3+ years of machine learning research experience (PhD research counts).
  • Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
  • Degree from a top-100 university, experience at a FAANG or comparable AI company, or equivalent research track record through publications or impactful open-source contributions.

Preferred

  • Experience in scaling laws and training-efficiency research.
  • Knowledge of curriculum learning and data ordering.
  • Skills in model evaluation, uncertainty estimation, and model calibration.
  • Expertise in data augmentation and synthetic data for robustness.

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.