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Remote Staffing Jobs in California (NOW HIRING)

Protouch Staffing

Staff Attorney

San Francisco, CA · On-site +1

$72K - $105K/yr

Remote or Onsite (depending on candidate preference and location) Employment Type: Full-Time We are currently hiring a Staff Attorney to support litigation teams with discovery management, document ...

Imply

Staff Software Engineer (Remote)

Burlingame, CA · Remote

$195K - $230K/yr

The Role We're looking for a talented Staff Software Engineer who is passionate about building ... Must be comfortable working in a high performance remote-first environment. Responsibilities

Imply

Staff Software Engineer (Remote)

Burlingame, CA · On-site +1

$195K - $230K/yr

The Role We're looking for a talented Staff Software Engineer who is passionate about building ... Must be comfortable working in a high performance remote-first environment. Responsibilities

Imply

Staff Software Engineer (Remote)

Burlingame, CA · Remote

$195K - $230K/yr

The Role We're looking for a talented Staff Software Engineer who is passionate about building ... Must be comfortable working in a high performance remote-first environment. Responsibilities

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Remote Staffing information

See California salary details

$22.7K

$50.3K

$69.6K

How much do remote staffing jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote staffing in California is $50,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $57,700.00 per year, depending on experience, location, and employer.

Is there a staffing agency for remote jobs?

Yes, many staffing agencies specialize in remote jobs, connecting employers with remote workers across various industries. These agencies often handle screening, interviews, and placement, and may require skills in remote communication tools and online collaboration platforms.

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

To excel in Remote Staffing, you should have experience in talent acquisition, strong organizational abilities, and familiarity with remote workforce management. Using applicant tracking systems (ATS), video interviewing platforms, and HR information systems is common, along with any relevant HR certifications. Key soft skills include excellent communication, adaptability, and proactive problem-solving to manage distributed teams and client relationships. These competencies ensure an efficient hiring process, effective team integration, and a positive client and candidate experience in a fully remote environment.

Does Amazon really pay people to work from home?

Amazon offers remote staffing positions that allow employees to work from home, particularly in customer service, technical support, and other roles. These jobs typically require a reliable internet connection, a suitable workspace, and sometimes specific equipment or certifications. Amazon's remote roles are part of their flexible work options, and pay varies based on position and location.

What are some unique challenges faced in Remote Staffing roles, and how can they be managed effectively?

Remote Staffing professionals often encounter challenges like coordinating across multiple time zones, ensuring clear communication among distributed team members, and building trust with both clients and candidates virtually. Successfully managing these challenges usually involves leveraging technology for streamlined communication, maintaining transparent processes, and implementing strong onboarding practices. Building rapport through regular check-ins and fostering a collaborative remote culture are also important. By addressing these areas, remote staffing specialists can optimize hiring outcomes and create a supportive, efficient remote work environment for all parties involved.

What is the best company to work remotely for?

There is no definitive best company for remote work, as it depends on individual preferences, industry, and role. Many companies across technology, marketing, and customer service offer remote positions with flexible schedules and digital collaboration tools. Job seekers should consider company culture, benefits, and opportunities for growth when evaluating remote employers.

What is a Remote Staffing job?

A Remote Staffing job involves hiring employees or contractors who work from a location outside of a traditional office, often from home or a co-working space. These roles can include various positions across industries such as IT, customer service, marketing, and administration. Companies use remote staffing to access a wider talent pool, reduce operational costs, and improve workforce flexibility. Employees communicate and collaborate using digital tools like email, video conferencing, and project management software.

How to make 1000 a week remotely?

Remote staffing roles such as virtual assistants, customer service agents, or freelance professionals can generate $1,000 or more weekly by working multiple clients or projects, often requiring skills in communication, organization, or specific tools. Increasing earnings may involve building a strong client base, improving skills, or taking on higher-paying tasks and certifications.
What are the most commonly searched types of Staffing jobs in California? The most popular types of Staffing jobs in California are:
What are popular job titles related to Remote Staffing jobs in California? For Remote Staffing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Staffing jobs in California look for? The top searched job categories for Remote Staffing jobs in California are:
What cities in California are hiring for Remote Staffing jobs? Cities in California with the most Remote Staffing job openings:
Remote Staffing jobs near you
Infographic showing various Remote Staffing job openings in California as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution, with an average salary of $50,339 per year, or $24.2 per hour.

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 10 days ago

Job description

Job Description

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

As the Staff Machine Learning Engineer, you own the execution layer of intelligence.  You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems.  This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints.  This position is 100% Remote.

Staff Machine Learning Engineer Responsibilities:

- Own end-to-end Machine Learning (ML) system execution:  data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.

- Architect and operate scalable inference systems, balancing latency, cost, and reliability.

- Design and maintain data systems for high-quality synthetic and real-world training data.

- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.

- Collaborate closely with application engineering to integrate Machine Learning (ML) systems cleanly into backend, mobile, and desktop products.

- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

- Work under real production constraints: latency, cost, reliability, and safety

Staff Machine Learning Engineer Outcomes

- Research and models reliably translate into production-ready solutions with clear performance and quality targets.

- Machine Learning (ML) pipelines, training loops, and inference systems are stable, efficient, and maintainable.

- Production issues are detected, debugged, and resolved quickly, minimizing user impact.

- Team members are supported, aligned, and able to deliver high-impact Machine Learning (ML) work with minimal friction.

- Iterations on models and systems are measurable, safe, and improve user experience over time.

Qualifications

Staff Machine Learning Engineer Qualifications:

- Experience building or shipping real Machine Learning (ML) systems used by people, not just demos.

- Artificial Intelligence (AI) experience required.

- Experience working with large models and understanding their failure modes.

- Experience writing strong, production-grade code.

- You are self-directed, pragmatic, and take full ownership of outcomes.

- Experience communicating clearly and collaborate well in small, high-trust teams.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Staff Machine Learning Engineer, Data Pipelines, DPO, GPU, JAX, LoRA, Machine Learning Engineer, ML, Machine Learning, Python, PyTorch, QLoRA, SFT, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Staff Machine Learning Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Staff Machine Learning Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.ginastechjobs.com.

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