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Ai Coder Jobs in Santa Rosa, CA (NOW HIRING)

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Senior Software Engineer, Cash App Taxes

Bodega Bay, CA · On-site +1

$145K - $191K/yr

AI Coding Agents (Claude, Codex, etc.) We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our ...

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How much do ai coder jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai coder in Santa Rosa, CA is $30.06, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $37.84 per hour, depending on experience, location, and employer.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What job categories do people searching Ai Coder jobs in Santa Rosa, CA look for?

The top searched job categories for Ai Coder jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Ai Coder jobs?

Cities near Santa Rosa, CA with the most Ai Coder job openings:

Ai Coder jobs near you

AI Red Team Engineer, Frontier Model Evaluation (Contract)

Cobalt

Sonoma, CA • On-site

Other

Posted 5 days ago

Job description

About Cobalt:

Cobalt is seeking security engineers to adversarially test frontier models and AI agents, and to produce the reasoning and evaluation data used to measure and improve how those systems hold up under pressure.

This opportunity is suited to people with a security background who have turned their attention to AI systems, whether professionally, through structured red teaming and model bounty programs, or through sustained independent research. Traditional offensive security experience without prior AI work is welcome, provided you can code and can learn a new target quickly.

You do not need a formal AI research background. What matters is that you can reliably find failure modes others miss, that you can tell a lucky one-off from a reproducible weakness, and that you can build the harness needed to prove it.

All work is performed against sandboxed environments, purpose-built targets, and model endpoints supplied by us or by the lab. We do not accept work performed against systems you are not authorized to test, and we do not accept material covered by a client agreement or obtained without authorization.


What you'll do:

Depending on the project, you may:

  • Probe models and agents for failure modes, including prompt injection, unsafe tool and browser use, data exfiltration paths, and breakdowns in refusal or policy adherence, and document each case so another engineer can reproduce it
  • Build test harnesses and automation that run attempts at scale against model APIs and agent frameworks, rather than testing by hand
  • Produce written attack traces, capturing how you form and test hypotheses, what you rule out and why, and how you arrive at a working approach, rather than only the successful prompt
  • Author adversarial evaluation scenarios and benchmark items with verifiable success criteria, including multi-turn and agentic tasks
  • Design rubrics and partial-credit criteria for scoring model behavior, and classify observed failures into a consistent taxonomy

Projects follow their own guidelines, scope rules, and quality standards, and you will work with feedback from reviewers and lab research teams.


Required qualifications:

  • Demonstrable security experience, and demonstrable adversarial work against language models or AI agents through professional red teaming, structured bounty programs, published research, or a substantive independent record
  • Strong coding ability, typically Python, sufficient to build your own harnesses, automate at scale, and work with model APIs and agent frameworks
  • Depth in at least one relevant area, for example prompt injection and jailbreak techniques, agent and tool-use security, multimodal attacks, or cyber misuse evaluation
  • Ability to distinguish reproducible weaknesses from one-off outputs, and to explain each step of your reasoning clearly in writing
  • Willingness to work strictly within defined scope, to follow the project's disclosure process, and to sign a confidentiality agreement covering findings and project materials


Why join Cobalt AI:

  • Advance frontier AI where it counts. Apply your security expertise to data that frontier labs cannot obtain any other way, where your judgment directly shapes how the next generation of models reasons about security.
  • Grow professionally. Expand your influence through evaluation projects, advisory roles, and research collaborations, while developing a working understanding of how frontier models are trained and assessed.
  • Work with a top-tier network. Collaborate with security engineers and researchers from leading organizations on high-impact, flexible work.
  • Set your own schedule. Flexible 10 to 40 hour weeks that fit around your existing engagements and your life.
  • Competitive pay. Rates vary by project and are determined by a number of factors, including scope, skillset, and experience.

Apply