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Remote Python Llm Jobs in Gilroy, CA (NOW HIRING)

Axiad

AI-First SRE/DevOps Engineer

San Jose, CA · On-site +1

$66.75 - $88.75/hr

US (Remote or HQ Hybrid) Job Type: Full-time Axiad is seeking a skilled AI-First SRE/DevOps ... Build the infrastructure that AI-native features run on: inference gateways, LLM cost/latency ...

Axiad

GTM Engineer

San Jose, CA · Remote

$121K - $150K/yr

Remote, US (or hybrid HQ San Jose) Job Type: Full-time Axiad is the identity security company ... Orchestrate across Clay, Regie.ai, LLM APIs, and internal data. * Create closed-loop pipeline ...

legence

I&M Segment Applied AI Lead

San Jose, CA · Remote

$145K - $180K/yr

Remote Travel: Yes, 10% Role Summary The I&M Segment Applied AI Lead implements AI solutions for ... Ability to build and deploy solutions (Python, TypeScript, or low-code) and to train non-technical ...

legence

I&M Segment Applied AI Lead

San Jose, CA · Remote

$145K - $180K/yr

Remote Travel: Yes, 10% Role Summary The I&M Segment Applied AI Lead implements AI solutions for ... Ability to build and deploy solutions (Python, TypeScript, or low-code) and to train non-technical ...

All JobsPython Llm JobsRemote Python Llm JobsRemote Python Llm Jobs in Gilroy, CA

Remote Python Llm information

See Gilroy, CA salary details

$13

$62

$91

How much do remote python llm jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote python llm in Gilroy, CA is $62.04, according to ZipRecruiter salary data. Most workers in this role earn between $51.15 and $70.48 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What are popular job titles related to Remote Python Llm jobs in Gilroy, CA?

For Remote Python Llm jobs in Gilroy, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Llm jobs in Gilroy, CA look for?

The top searched job categories for Remote Python Llm jobs in Gilroy, CA are:

What cities near Gilroy, CA are hiring for Remote Python Llm jobs?

Cities near Gilroy, CA with the most Remote Python Llm job openings:

Remote Python Llm jobs near you
Infographic showing various Remote Python Llm job openings in Gilroy, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $129,035 per year, or $62 per hour.

Software Engineer - AI/ML & LLM - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 3 days ago

New

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.