2

Remote Staffing Jobs in California (NOW HIRING)

Staff Attorney

San Francisco, CA ยท 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 ...

Staffing Consultant

Glendale, CA ยท On-site +1

$80K - $100K/yr

The Staffing Consultant will manage both client-facing sales activity and candidate recruiting efforts, helping companies fill temporary and direct hire positions while supporting candidates ...

New

Oversee remote workforce scheduling, attendance, staffing, coverage, training, performance, and productivity across assigned departments. * Partner with department leaders to align staffing levels ...

Oversee remote workforce scheduling, attendance, staffing, coverage, training, performance, and productivity across assigned departments. * Partner with department leaders to align staffing levels ...

next page

Showing results 1-20

Remote Staffing information

See California salary details

$22.7K

$50.3K

$69.6K

How much do remote staffing jobs pay per year?

As of Sep 3, 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.

What is a remote staffing?

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.

What are the key skills and qualifications needed to thrive in remote staffing?

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.

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 are the most commonly searched types of Staffing jobs in California?

The most popular types of Staffing jobs in California 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:

Infographic showing various Remote Staffing job openings in California as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 66% Full Time, 12% Part Time, 1% Temporary, and 19% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% 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 โ€ข Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 26 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.ย  You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems.ย  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.ย  This position is 100% Remote.

Staff Machine Learning Engineer Responsibilities:

- Own end-to-end Machine Learning (ML) system execution:ย  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:ย  GPU-based training and inference system, JAX, Python, and PyTorch.

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

Keywords:ย  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?ย  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.ย  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

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