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Ai Coder Jobs in Arizona (NOW HIRING)

Nearly all of our code is written by AI agents. Our Software Engineers do the work agents can't: designing the system, defining what correct means, reviewing and rejecting output, and owning what ...

Nearly all of our code is written by AI agents. Our Software Engineers do the work agents can't: designing the system, defining what correct means, reviewing and rejecting output, and owning what ...

AI Coding Tools such as GitHub Copilot * Multi-Region Database Deployment * High Availability Architecture * Database Performance Tuning * Query Optimization * Capacity Planning * Enterprise Database ...

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

... code/ no code automations, and AI assisted workflows using Microsoft Power Platform, Copilot Studio, and Microsoft 365 Chat • Conduct research and gather data to support project planning and ...

AI Engineer

Globe, AZ

$92K - $126K/yr

Code Quality: Write clean, maintainable, and efficient code following best practices and coding standards. * Documentation: Create and maintain comprehensive documentation to describe AI solutions ...

New

CockroachDB Engineer

Chandler, AZ · On-site

$105K - $138K/yr

CockroachDB Architecture & Administration Distributed Database Systems Database Replication, Consistency & Consensus Models Ansible Playbooks & Automation Bash / Korn Shell (KSH) Scripting AI Coding ...

Agentic Software Engineer II

Scottsdale, AZ · On-site

$98K - $134K/yr

You treat AI coding agents as systems to set up and direct, not just autocomplete, and you bring the judgment to review, correct, and stand behind what they produce. This role supports the technology ...

Agentic Software Engineer II

Scottsdale, AZ

$98K - $134K/yr

You treat AI coding agents as systems to set up and direct, not just autocomplete, and you bring the judgment to review, correct, and stand behind what they produce. This role supports the technology ...

Principal Agentic Software Engineer

Scottsdale, AZ · On-site

$136K - $182K/yr

You direct AI coding agents through real, multi-step work, decide what becomes shared infrastructure, and make the build-vs-buy calls that shape our roadmap. Operating with broad autonomy and cross ...

You direct AI coding agents through real, multi-step work, decide what becomes shared infrastructure, and make the build-vs-buy calls that shape our roadmap. Operating with broad autonomy and cross ...

Gen AI Engineer II

Phoenix, AZ

$97K - $133K/yr

Utilize GitHub Copilot to assist in writing, debugging, and optimizing code across various programming languages and frameworks. * Integrate Generative AI models into development workflows to ...

Apply AI-assisted development to code, testing, documentation, and workflow automation * Design and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoring * Support ...

Showing results 41-60

Ai Coder information

See Arizona salary details

$14

$25

$40

How much do ai coder jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai coder in Arizona is $25.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $32.26 per hour, depending on experience, location, and employer.

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 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 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.

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 are popular job titles related to Ai Coder jobs in Arizona? For Ai Coder jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Ai Coder jobs? Cities in Arizona with the most Ai Coder job openings:
Infographic showing various Ai Coder job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $53,287 per year, or $25.6 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Mesa, AZ • Remote

$80 - $110/hr

Part-time

Posted 10 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.