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Weekend Remote Ai Engineer Jobs in California (NOW HIRING)

AI Engineer, Ecosystem

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ...

Staff AI Engineer - SimAI Team

Sunnyvale, CA · On-site +1

$189K - $290K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an AI Engineer on the team, you will build and deploy applied AI/ML solutions that directly ... Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin ...

AI Engineer, Product

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Build ...

Senior AI Engineer, Quality

San Francisco, CA · On-site +1

$200K - $250K/yr

  • Life

  • Retirement

  • PTO

We're based in San Francisco, CA, but built as a remote-first company that enables you to do your ... As a Senior AI Engineer, Quality , you will own the evaluation infrastructure that ensures our AI ...

Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards ... AI Engineer with experience in Search Relevance to join our growing team. In this role, you will ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

New

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

New

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

New

Showing results 41-60

Weekend Remote Ai Engineer information

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 California look for?

The top searched job categories for Weekend Remote Ai Engineer jobs in California are:

What cities in California are hiring for Weekend Remote Ai Engineer jobs?

Cities in California with the most Weekend Remote Ai Engineer job openings:

Infographic showing various Weekend Remote Ai Engineer job openings in California as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Engineer, Ecosystem

Brex

San Francisco, CA • On-site, Remote

$171K - $240K/yr

Full-time

Re-posted 20 days ago


Job description

AI at Brex

AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don't just surface insights-they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we're turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.

What you'll do

You'll be a technical owner for Brex's external AI ecosystem: the integrations, surfaces, and standards that allow customers to interact with Brex through third-party assistants and platforms.

Over the next year, you'll turn early integrations into first-class, exemplar applications - stable, secure, and opinionated - that are showcased by platform partners and relied on by power users at Brex's most sophisticated customers. You'll design how Brex data and actions are safely exposed, how permissions and auditability work across boundaries, and how new capabilities (including richer UI surfaces) are introduced over time.

This is a product role disguised as infrastructure. Success is measured by real usage, trust, and customer reliance - not by the number of integrations shipped.

Where you'll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week - Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Own Brex's MCP Apps for OpenAI, Claude, Slack, and other embedders, including roadmap decisions across core and long-tail partners.
  • Define the technical, UX, and reliability standards for how Brex surfaces and operates within external AI assistant ecosystems.
  • Design and maintain secure, auditable integration patterns, including permissions, read/write access, and acting on behalf of users across third-party environments.
  • Build and operate production-grade integrations that remain resilient amid evolving platforms, unpredictable clients, and shifting constraints.
  • Partner cross-functionally with Security, Platform, Sales, Enablement, and internal agent teams to ensure integrations are safe, valuable, and well-supported.
  • Serve as the center of excellence for reusable AI capabilities across Brex, defining and evangelizing standards, patterns, and shared components that power AI functionality both within the Brex platform and across external ecosystem integrations.

Requirements

  • Experience building and owning production software, including systems that integrate with or depend on third-party platforms.
  • Demonstrated technical ownership for user-facing products with real external customers.
  • Deep experience with identity, authentication, and secure data access across system boundaries, including OAuth and role-based access control (RBAC) for permissions.
  • Proven ability to ship and operate reliable integrations with external APIs and clients outside your control.
  • Strong product judgment, written communication, and end-to-end ownership, including accountability for quality and launch readiness.

Bonus points

  • Experience publishing and maintaining apps or integrations in third-party marketplaces (iOS, Slack, Shopify, GitHub, Chrome, etc.).
  • Prior work on administrative or platform-side tooling for ecosystems.
  • Familiarity with conversational or agentic interfaces in production environments.
  • Experience building evaluations to measure and improve the quality, reliability, and safety of AI-powered features.

Compensation

The expected salary range for this role is $171,000 - $240,000 USD.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.