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Part Time Principal Java Software Engineer Jobs in Los Angeles, CA

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Experience in software engineering, automation, AI development, or a related field * Experience ... Work on cutting-edge AI systems with real operational impact * Part-time or full-time opportunities ...

Experience in software engineering, automation, AI development, or a related field * Experience ... Work on cutting-edge AI systems with real operational impact * Part-time or full-time opportunities ...

Perform calculations using company standard software and proprietary manufacturer software ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

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Part Time Principal Java Software Engineer information

See Los Angeles, CA salary details

$89.4K

$161.3K

$217.1K

How much do part time principal java software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for part time principal java software engineer in Los Angeles, CA is $161,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,500.00 and $177,800.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Principal Java Software Engineer jobs in Los Angeles, CA?

The most popular types of Principal Java Software Engineer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Part Time Principal Java Software Engineer jobs?

Cities near Los Angeles, CA with the most Part Time Principal Java Software Engineer job openings:

AI Software Engineer Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 7 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.