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Weekend Remote Ai Engineer Jobs in San Ramon, CA

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

Sr. AI Engineer

San Francisco, CA · On-site +1

$65 - $83.75/hr

Employee divides their time between in-office and remote work. Access to an office location is ... engineering experience * 3+ years in AI/ML engineering, LLM-based systems, or advanced SaaS ...

Senior AI Engineer

San Francisco, CA · On-site +1

$250K - $300K/yr

You're a strong AI engineer who ships real things, and you're equally at home in an open-source ... hybrid/remote team's cell phone and internet expenses* * $1,200 per year Health & Wellness ...

Sr. Growth AI Engineer

San Francisco, CA · On-site +1

$123K - $168K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... AI engineering with large language models (LLMs), coding assistants, or agentic systems

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs ... As a Staff AI Engineer, you'll shape the technical direction of our intelligence layer--defining ...

As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS ... We offer parental leave, paid-time off and fully remote working arrangements. * 401k matching

Showing results 21-40

Weekend Remote Ai Engineer information

See San Ramon, CA salary details

$43.6K

$113.7K

$153.7K

How much do weekend remote ai engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for weekend remote ai engineer in San Ramon, CA is $113,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a Weekend Remote AI Engineer?

Weekend Remote AI Engineers are professionals who design, build, and maintain artificial intelligence systems while working remotely, typically on weekends. They may be employed part-time, as freelancers, or on a project basis to assist organizations with AI development outside of standard business hours. Their responsibilities can include developing machine learning models, processing data, and integrating AI solutions into existing products. This role is ideal for individuals seeking flexible work arrangements or supplemental income, and it requires strong programming and analytical skills.

What are the key skills and qualifications needed to thrive as a Weekend Remote AI Engineer, and why are they important?

To thrive as a Weekend Remote AI Engineer, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), version control systems (like Git), and cloud platforms (AWS, Azure, or GCP) is essential. Excellent problem-solving, time management, and communication skills help you excel in a remote, asynchronous work environment. These competencies ensure you can independently deliver high-quality AI solutions and collaborate effectively, even outside traditional work hours.

What are some common challenges faced by Weekend Remote AI Engineers, and how can they be addressed?

Weekend Remote AI Engineers often encounter challenges such as limited real-time collaboration with team members working standard weekday hours, balancing time management with personal commitments, and staying updated with ongoing project changes. To address these, it’s helpful to utilize asynchronous communication tools, maintain clear documentation of work, and proactively sync with team leads before and after the weekend. Establishing a structured routine and setting clear goals for each weekend session can also enhance productivity and integration with the broader team.

What is the difference between Weekend Remote Ai Engineer vs Weekend Remote Data Scientist?

AspectWeekend Remote Ai EngineerWeekend Remote Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's in CS, Statistics, or related; experience with data analysis
Work EnvironmentRemote, project-based, AI development teamsRemote, data analysis projects, research teams
Industry UsageTech, AI startups, software companiesTech, finance, healthcare, research institutions

Weekend Remote Ai Engineers focus on developing AI models and algorithms, often working on machine learning and deep learning projects. In contrast, Weekend Remote Data Scientists analyze data to extract insights, supporting decision-making. Both roles require technical skills and often operate remotely on flexible schedules, but their core responsibilities differ in AI development versus data analysis.

What job categories do people searching Weekend Remote Ai Engineer jobs in San Ramon, CA look for?

The top searched job categories for Weekend Remote Ai Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Weekend Remote Ai Engineer jobs?

Cities near San Ramon, CA with the most Weekend Remote Ai Engineer job openings:

Infographic showing various Weekend Remote Ai Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,710 per year, or $54.7 per hour.

Software AI Engineer

San Jose, CA • Remote

Jade Global
IT Services • 51 - 200 employees

Full-time

Re-posted 14 days ago


Job description

Software AI Engineer2

Experience: 6 - 8 yrs

Location:

1 - US Bay Area

1 - US Remote

Key Responsibilities:
Design, develop, and implement AI/ML models and algorithms using Python.
Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP).
Collaborate with data scientists and other engineers to integrate AI models into existing systems.
Optimize AI models for performance, scalability, and cost-efficiency.
Stay up-to-date with the latest advancements in AI/ML technologies and cloud services.
Participate in the full software development lifecycle, including testing, deployment, and monitoring.