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Freelance Postgresql information

What is a freelance PostgreSQL?

Freelance PostgreSQL developers are independent professionals who specialize in designing, managing, and optimizing PostgreSQL databases for clients on a project or contract basis. They offer services such as database setup, performance tuning, data migration, and troubleshooting without being tied to a single employer. These developers often work remotely, collaborating with businesses and organizations to ensure their PostgreSQL systems are reliable, secure, and efficient.

What skills and qualifications are needed to thrive as a freelance PostgreSQL?

To thrive as a Freelance PostgreSQL specialist, you need strong expertise in database design, SQL programming, and query optimization, often backed by a degree in computer science or relevant certifications. Familiarity with PostgreSQL administration tools, backup systems, and cloud database platforms is typically expected. Excellent problem-solving, self-management, and client communication skills help you deliver efficient solutions and foster client trust. These competencies ensure you can independently build, maintain, and troubleshoot robust database systems to meet diverse client needs.

What are common challenges freelance PostgreSQL professionals face when working with multiple clients?

Freelance PostgreSQL professionals often juggle projects for different clients, each with unique database architectures, security requirements, and project deadlines. Managing context switching between client environments, keeping documentation organized, and staying up-to-date with each system's configurations can be challenging. Additionally, freelancers must proactively communicate with clients to clarify requirements, address urgent issues, and ensure smooth handoffs, as clear collaboration is essential for remote and contract work.

What is the difference between Freelance Postgresql vs Freelance Database Administrator?

AspectFreelance PostgresqlFreelance Database Administrator
Skills & CertificationsPostgreSQL expertise, SQL, database management certificationsDatabase management, SQL, performance tuning, certifications in various DBMS
Work EnvironmentProject-based, remote or on-site, focused on PostgreSQLProject or ongoing, remote or on-site, broader database management scope
Industry UsageTech, finance, healthcare needing PostgreSQL solutionsVarious industries requiring overall database administration
Search & Comparison IntentLooking for PostgreSQL-specific freelance workSeeking broader database admin freelance opportunities

Freelance Postgresql specialists focus specifically on PostgreSQL database setup, optimization, and maintenance. Freelance Database Administrators have a broader scope, managing multiple database systems. Both roles require SQL skills and certifications, but the scope and industry applications differ, with PostgreSQL experts specializing in a specific database technology.

What are the most commonly searched types of Postgresql jobs in California?

The most popular types of Postgresql jobs in California are:

What are popular job titles related to Freelance Postgresql jobs in California?

For Freelance Postgresql jobs in California, the most frequently searched job titles are:

What job categories do people searching Freelance Postgresql jobs in California look for?

The top searched job categories for Freelance Postgresql jobs in California are:

What cities in California are hiring for Freelance Postgresql jobs?

Cities in California with the most Freelance Postgresql job openings:

Freelance Postgresql jobs near you

Staff Software Engineer, AI Data Platform

Labelbox

San Francisco, CA • On-site

Full-time

Re-posted 7 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

Apply