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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 ...

Harnham

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$220K - $260K/yr

Experience shipping ML products at scale--bonus points if you've done it at a FAANG or top AI-driven company. * Preference for NYC-based candidates (4 days/week in office), but remote-friendly for ...

David Joseph & Company

Growth Lead

San Francisco, CA · Remote

$150K - $200K/yr

Growth Lead Remote (US or Canada) · Fully Remote · Full-time Compensation: $150,000-$200,000 (US ... Big-co marketing background (FAANG, big consumer brands) without a startup adaptation or a 0-to-1 ...

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 ...

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 ...

Arbiter

Product Lead, Agentic Implementation

This role can be remote or on-site, based in our New York City or Boca Raton offices, in a fast ... Designed to rival top FAANG compensation, including meaningful equity. * Generous Paid Time Off ...

Arbiter

GTM Lead

$152K - $200K/yr

This role can be remote or on-site, based in our New York City or Boca Raton offices, in a fast ... Designed to rival top FAANG compensation, including meaningful equity. * Generous Paid Time Off ...

Chainguard

Technical Recruiting Manager

$160K - $205K/yr

Closer and seller, you know how to position Chainguard against a late-stage pre-IPO, a FAANG team ... Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual ...

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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 Jul 13, 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.

Can you work for Faang remotely?

Remote FAANG jobs are available in many roles, especially in software engineering, product management, and data analysis. These companies often require strong technical skills, relevant experience, and sometimes specific certifications, and they typically support remote work arrangements depending on the role and team needs.

Which company is 100% remote?

Many companies, including some in the tech industry, offer 100% remote positions, especially within roles like Remote FAANG jobs. These companies typically have flexible work policies and rely on digital communication tools, making remote work feasible across various locations. It's important to verify each company's remote work policy before applying.

How to make $1000 a week remotely?

Remote FAANG roles such as software engineering, data analysis, or product management can pay $1,000 or more per week, especially with experience and specialized skills. Achieving this income often involves working full-time, leveraging high-demand skills, and possibly taking on multiple projects or freelance work through platforms like Upwork or Toptal to supplement income.

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

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 some 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.

How to make $100,000 a year working from home?

Remote FAANG roles such as software engineering, product management, or data science can offer salaries of $100,000 or more annually. Achieving this typically requires advanced skills, relevant experience, and often a strong educational background, along with proficiency in tools like cloud platforms and programming languages. Building a solid remote work portfolio and continuously updating technical skills can help reach this income level.

What is a Remote FAANG job?

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.

More about Remote Faang jobs
What cities are hiring for Remote Faang jobs? Cities with the most Remote Faang job openings:
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What states have the most Remote Faang jobs? States with the most job openings for Remote Faang jobs include:
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Remote Faang jobs near you
Machine Learning Expert - Fully Remote | Upto $90/hr

Machine Learning Expert - Fully Remote | Upto $90/hr

Mercor

San Francisco, CA • Remote

$90/hr

Full-time

Posted 12 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.