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Ai Job Coding Jobs (NOW HIRING)

Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and ...

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Ai Job Coding information

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$33

$54

How much do ai job coding jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for ai job coding in the United States is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $39.90 per hour, depending on experience, location, and employer.

What is the difference between Ai Job Coding vs Data Scientist?

AspectAi Job CodingData Scientist
Required CredentialsProgramming skills, certifications in AI/ML, coding experienceStatistics, programming, data analysis certifications
Work EnvironmentTech companies, AI development teams, software firmsResearch labs, tech companies, consulting firms
Industry UsageAI product development, machine learning applicationsData analysis, predictive modeling, research

Ai Job Coding focuses on developing and implementing AI algorithms through coding, while Data Scientists analyze data to extract insights and build models. Both roles require programming skills and often overlap, but Ai Job Coders are more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

More about Ai Job Coding jobs
What job categories do people searching Ai Job Coding jobs look for? The top searched job categories for Ai Job Coding jobs are:
Software Engineer - AI Coding Expert

Software Engineer - AI Coding Expert

micro1 AI

San Diego, CA • Remote

$40 - $85/hr

Part-time

Posted 17 days ago


Job description

Job Title: Senior Software Engineer


Job Type: Contractor

Location: Remote


Job Summary: 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.


Key Responsibilities:

  1. Contribute expert-level knowledge to bug fixing, feature implementation, codebase refactoring, and performance optimization across a range of programming languages.
  2. Analyze and enhance software codebases to ensure clarity, maintainability, and efficiency.
  3. Collaborate with multidisciplinary teams to provide feedback and insights for AI model improvement.
  4. Develop robust solutions and document best practices to support scalable AI training workflows.
  5. Evaluate existing system architecture and recommend technical strategies for optimal results.
  6. Deliver clear, concise written and verbal communication regarding technical findings and project progress.
  7. Support the continuous improvement of AI systems by providing real-world coding expertise in challenging scenarios.



Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.



We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.