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Remote Training Placement Software Engineering Jobs

Paylocity

Software Engineering

This is a fully remote position, allowing you to work from home or location of record within the U ... Minimum 5 years of software engineering experience * Proven track record of leading significant ...

DigiCert

Software Engineering Manager

Lehi, UT · On-site +1

... remote and hybrid environments. * Strong knowledge of software engineering best-practices ... Excellent communication, collaboration, and presentation skills. Nice to have * Bachelor's degree ...

YO AI Labs

AI Software Engineer Expert - Remote

Miami, FL · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Interpret and annotate technical data to support AI model training and evaluation. * Collaborate ...

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Remote Training Placement Software Engineering information

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How much do remote training placement software engineering jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote training placement software engineering in the United States is $49.58, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $61.06 per hour, depending on experience, location, and employer.

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Remote Training Placement Software Engineering jobs near you
Infographic showing various Remote Training Placement Software Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $103,126 per year, or $49.6 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

Houston, TX • Remote

$100 - $200/hr

Part-time

Posted 10 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.