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Remote Python Ai Jobs in Daly City, CA (NOW HIRING)

Mercor

AI Full Stack Engineer

San Francisco, CA · Remote

$90 - $110/hr

... Stack (Python, Java, Rust, C#, C++) Type: Contract Compensation: $90-$110/hour Location: Remote ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Twenty80 LLC

AI Engineer

San Mateo, CA · Remote

Strong Python programming skills * Experience working with cloud platforms such as AWS, Azure, or ... Remote-friendly within the United States * Preference for candidates located near major East or ...

DocuSign

AI Agentic Engineer

San Francisco, CA · On-site +1

$62 - $85/hr

Employee divides their time between in-office and remote work. Access to an office location is ... Hands on experience on one or more scripting/programming languages (e.g., Python, Java)

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All JobsPython Ai JobsRemote Python Ai JobsRemote Python Ai Jobs in Daly City, CA

Remote Python Ai information

See Daly City, CA salary details

$15

$67

$99

How much do remote python ai jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote python ai in Daly City, CA is $67.92, according to ZipRecruiter salary data. Most workers in this role earn between $55.96 and $77.16 per hour, depending on experience, location, and employer.

What remote jobs can you get with Remote Python Ai?

Remote Python AI skills can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI research scientist. These positions often involve developing AI models, working with Python libraries like TensorFlow or PyTorch, and can be performed on flexible schedules from anywhere with internet access.

What skills and qualifications are needed to thrive as a remote Python AI developer?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What is a remote Python AI job?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.

What job categories do people searching Remote Python Ai jobs in Daly City, CA look for?

The top searched job categories for Remote Python Ai jobs in Daly City, CA are:

What cities near Daly City, CA are hiring for Remote Python Ai jobs?

Cities near Daly City, CA with the most Remote Python Ai job openings:

Remote Python Ai jobs near you

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 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.

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