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Freelance Infrastructure Engineer Jobs in California

Surecall Tech

Data Engineer (San Francisco)

San Francisco, CA · On-site

$133K - $160K/yr

... data infrastructure that powers critical business intelligence, product insights, and machine ... Training (Freelance, Remote) San Francisco, CA $170,000.00-$210,000.00 2 months ago Software ...

Chima

AI Engineer (San Francisco)

San Francisco, CA · On-site

$100K - $300K/yr

Experiment and improve our AI infrastructure. You'll lead our implementation of new AI features and ... Freelance, Remote) San Francisco, CA $167,000.00-$185,500.00 6 days ago San Francisco, CA $130,000 ...

Hedra

Senior Video Producer

San Francisco, CA · On-site

The freelance bench gives you extra volume and specialist craft (e.g., motion graphics). You'll ... Work closely with product, engineering, and marketing to build deep knowledge of the product, our ...

Inference

Filmmaker / Storyteller

San Francisco, CA · On-site

$100K - $140K/yr

... our engineering team, capturing the journey of next-generation AI infrastructure. You'll own our ... After establishing our content foundation, recruit and manage freelancers, editors, and production ...

Handshake

Senior Security Engineer (IAM)

San Francisco, CA · On-site

$130 - $160/hr

... freelance AI training gigs to first internships to full-time careers and beyond. This unique value ... Experience with Terraform or other infrastructure-as-code frameworks. * Ability to diagnose complex ...

Prime Intellect

Head of Marketing

San Francisco, CA · On-site

... freelancers, and contractors as needed for design, video, and content production. What We're Looking For * 5+ years in marketing, developer relations, or developer marketing at a B2B infrastructure ...

Solomon Page

Technical Program Manager

San Francisco, CA · On-site

$151K - $196K/yr

Ensure alignment across Data Engineering, AI/ML, Infrastructure, and Business Intelligence teams ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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Freelance Infrastructure Engineer information

What is the difference between Freelance Infrastructure Engineer vs Network Engineer?

AspectFreelance Infrastructure EngineerNetwork Engineer
CredentialsCertifications like Cisco CCNA, CompTIA Network+Certifications like Cisco CCNA, CompTIA Network+
Work EnvironmentIndependent, project-based, remote or on-siteTypically in organizations, on-site or remote
Industry UsageFreelance market, consulting, IT servicesCorporate, telecommunications, IT departments

Both roles require similar certifications and technical skills, but Freelance Infrastructure Engineers work independently on diverse projects, while Network Engineers are usually employed full-time within organizations managing network systems.

What are the key skills and qualifications needed to thrive as a freelance infrastructure engineer, and why are they important?

To thrive as a Freelance Infrastructure Engineer, you need a deep understanding of network architecture, cloud platforms, system administration, and infrastructure automation, often supported by a degree in computer science or a related field. Familiarity with tools like AWS, Azure, Terraform, Docker, and certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator are highly valued. Strong problem-solving abilities, effective communication, and self-management skills set top freelancers apart in this role. These competencies are crucial for designing reliable systems, meeting client needs, and efficiently managing multiple independent projects.

What is a freelance infrastructure engineer?

Freelance Infrastructure Engineers are independent professionals who design, build, and maintain the foundational IT systems and networks for organizations on a project or contract basis. They work with servers, cloud platforms, storage, networking, and security systems to ensure the reliability and scalability of IT infrastructure. Unlike full-time employees, freelancers typically work with multiple clients, offering flexibility and a wide range of experience. Their responsibilities can include system deployment, automation, troubleshooting, and performance optimization.

What are some common challenges faced by freelance infrastructure engineers when managing multiple client projects?

Freelance infrastructure engineers often juggle several projects simultaneously, which can lead to challenges in time management, context switching, and prioritizing tasks. Coordinating with different client teams, each with its own communication style and technical stack, requires strong organizational and interpersonal skills. Additionally, staying updated with evolving technologies while ensuring each client's systems remain secure and reliable can be demanding. Successful freelancers develop robust workflows and clear communication habits to manage these complexities and deliver consistent results.
What are the most commonly searched types of Infrastructure Engineer jobs in California? The most popular types of Infrastructure Engineer jobs in California are:
What are popular job titles related to Freelance Infrastructure Engineer jobs in California? For Freelance Infrastructure Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Infrastructure Engineer jobs in California look for? The top searched job categories for Freelance Infrastructure Engineer jobs in California are:
What cities in California are hiring for Freelance Infrastructure Engineer jobs? Cities in California with the most Freelance Infrastructure Engineer job openings:
Freelance Infrastructure Engineer jobs near you

Staff Software Engineer, AI Data Platform

Labelbox

San Francisco, CA

Full-time

Re-posted 29 days ago

Job description

Role Overview

Labelbox is the RL data factory for advancing frontier agent capabilities. We build the data, evaluations, and infrastructure that frontier labs use to train and judge their agents. We're looking for talented, experienced engineers to join us. The bar is high: engineers who have strong judgment and set technical direction, quickly build prototypes that scale into the reliable systems, and are at the frontier of agent-first engineering practices and innovating to accelerate the speed of the business.

What you may work on
  • Eval systems that run millions of agent trajectories to measure model and product quality.
  • Fine-tuning pipelines that turn evaluation signals into measurable agent improvements.
  • Agent-first product surfaces: UX and infrastructure for workflows where the user is a model or an agent operator.
  • The systems behind hundreds of thousands of AI interviews used to source and match freelance workers to projects.
  • Infrastructure that scales to the throughput frontier labs actually need.
  • Integration of the latest models and capabilities into production within days of release.
What we're looking for
  • 4+ year track record of shipping systems customers and other engineers rely on
  • You build full stack prototypes fast and they hold up. The v1 you ship becomes the foundation the rest of the team builds on.
  • Strong system and API design judgement
  • Hard architecture and product calls land with you. You make them, defend them under pressure, and update fast when someone else is right.
  • You ship production code with coding agents daily. You know where they break and what it takes to make them reliable to further accelerate the team's velocity.
  • You set direction by being the example. Other engineers reach for your designs and your code as the reference.
  • You move fast in ambiguous, startup-pace environments with influence over authority.
  • You have worked in all parts of the stack
  • Deep proficiency in TypeScript and/or Python.
Nice to have
  • Production experience building LLM- or agent-driven products.
  • Designing evaluations for LLMs and agents, or producing high-quality data for ML systems.
  • Background in production distributed systems, ML infrastructure, or data systems at scale.
Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

  • Frontend: React.js with Redux, TypeScript
  • Backend: Node.js, TypeScript, Python, some Java & Kotlin
  • APIs: GraphQL
  • Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
  • Databases: MySQL, Spanner, PostgreSQL
  • Queueing / Streaming: Kafka, PubSub

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