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Weekend Remote Ai Engineer Jobs in San Ramon, CA

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

AI Engineer - Agentic Automation Location ... Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ...

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

AI Engineer - Agentic Automation Location ... Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ...

While we are a remote-first company, the nature of this role requires candidates to be based in the ... ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating ...

AI Engineer

San Francisco, CA · Remote

$150K - $220K/yr

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs ... As an AI Engineer, you'll build Fieldguide's intelligence layer--agentic workflows, architectures ...

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 ...

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Showing results 1-20

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 7, 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 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 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 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 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,710 per year, or $54.7 per hour.

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Job description

Job Description

Applied AI Engineer, Work From Home

We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows.  The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys.  This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems.  We have multiple openings for this position.  This position is 100% Remote.

Applied AI Engineer Responsibilities:

- Build AI-powered product features integrated into real insurance workflows.

- Design and optimize LLM-based interactions across customer and internal systems.

- Develop prompts, reasoning flows, and structured AI outputs for production use cases.

- Evaluate model performance using real-world data, feedback loops, and experiments.

- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.

- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.

- Design and implement AI-driven automation features (chat, recommendations, decision support).

- Analyze user behavior and model responses to continuously improve AI performance.

- Collaborate with product, design, and engineering teams to ship end-to-end AI features.

- Contribute to AI system design decisions focused on usability and real-world impact.

Applied AI Engineer Outcomes

- AI features are reliable, consistent, and production-ready across workflows.

- User-facing AI interactions are intuitive and improve task completion rates.

- Model outputs are measurable, testable, and continuously improving.

- AI-driven automation reduces manual work in insurance processes.

- Product teams can safely deploy AI features with controlled behavior.

Qualifications

Applied AI Engineer Qualifications:

- Strong software engineering background in production environments.

- Experience working with LLMs (OpenAI, Anthropic, or open-source models).

- Familiarity with prompt engineering, structured outputs, and tool use patterns.

- Experience building or integrating AI features into real products.

- Strong understanding of API-based system integration.

- Ability to evaluate AI outputs critically using data and user feedback.

- Experience with experimentation, A/B testing, or evaluation frameworks.

- Strong product sense and focus on user experience.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:  A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.

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

Keywords:  San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an Applied AI 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 Applied AI 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

All your information will be kept confidential according to EEO guidelines.