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Remote Faang Jobs in California (NOW HIRING)

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 ...

Remote Faang information

See California salary details

$23.5K

$93.4K

$179.7K

How much do remote faang jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote faang in California is $93,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,919.00 and $126,810.00 per year, depending on experience, location, and employer.

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.

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 most commonly searched types of Faang jobs in California? The most popular types of Faang jobs in California are:
What cities in California are hiring for Remote Faang jobs? Cities in California with the most Remote Faang job openings:
Infographic showing various Remote Faang job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $93,388 per year, or $44.9 per hour.

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

Mercor

San Francisco, CA • Remote

$90/hr

Full-time

Re-posted 6 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.