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Work From Home Data Optimization Jobs in California

CMG

Sales Rep - Work from Home

San Diego, CA · Remote

$15/hr

... forecast data in Salesforce (CRM). * Identifying, qualifying & maximizing sales opportunities ... Fully Remote WFH position * W2 employment Technical Requirements: * MacBook or Chromebook or a ...

HMG Careers

Work From Home Sales Specialist

Arnold, CA · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

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Work From Home Data Optimization information

What is the difference between Work From Home Data Optimization vs Data Analyst?

AspectWork From Home Data OptimizationData Analyst
CredentialsTypically requires data management, basic analytics, and software skillsRequires degrees in statistics, data science, or related fields
Work EnvironmentRemote, flexible schedule, often project-basedCan be remote or on-site, with regular hours
Industry UsageUsed across e-commerce, marketing, and tech companies for data refinementCommon in finance, healthcare, and research sectors for data interpretation

Work From Home Data Optimization focuses on improving data quality and efficiency remotely, often involving data cleaning and management. Data Analysts interpret data to provide insights, usually requiring more specialized education. Both roles can be remote, but Data Analysts often have more formal credentials and work in diverse industries.

What are popular job titles related to Work From Home Data Optimization jobs in California? For Work From Home Data Optimization jobs in California, the most frequently searched job titles are:
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Work From Home Data Optimization jobs near you
Infographic showing various Work From Home Data Optimization job openings in California as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.

AI Backend 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

AI Backend Engineer, Work From Home

We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform.  This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience.  This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.  We have multiple openings for this position.  This position is 100% Remote.

AI Backend Engineer Responsibilities:

- Build and operate backend systems that serve AI-powered insurance workflows in production.

- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.

- Build inference pipelines for LLM-based and AI-assisted automation systems.

- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).

- Design stable service boundaries between backend systems, ML components, and product APIs.

- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.

- Debug production issues across distributed AI systems and resolve root causes.

- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.

- Continuously improve system reliability, scalability, and performance.

AI Backend Engineer Outcomes:

- AI backend systems run reliably at scale with low latency and high availability.

- AI workflows are stable, observable, and production-ready across multiple products.

- System performance improves continuously through real-world feedback and optimization.

- Production incidents are quickly detected, diagnosed, and resolved.

- AI capabilities are seamlessly integrated into global customer and internal workflows.

Qualifications

AI Backend Engineer Qualifications:

- Strong backend engineering experience in production systems.

- Experience building or operating high-throughput, low-latency services.

- Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).

- Experience with distributed systems and production debugging.

- Strong understanding of APIs, data flows, and system design principles.

- Experience with observability tools (logging, monitoring, tracing).

- Strong ownership mindset and bias toward shipping.

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

- Tech Stack:  Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.

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

Keywords:  San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an AI Backend 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 AI Backend Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


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