Machine learning engineer • glendale az
AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using.You will design reproducible environments, deterministic veri... Show more
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Instructional Design Learning Manager.Arizona-based Willmeng Construction is a 100-percent employee-owned general contractor that has been dedicated to helping our people build their "Genuine Place... Show more
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About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contrac... Show more
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Carollo Engineers is a leading engineering firm dedicated exclusively to water.Carollo Engineers is a leading engineering firm dedicated exclusively to water.For over 90 years, we've specialized in... Show more
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Avenue, Phoenix, AZ, 85085, United States.Description Requirements Summary. Show more
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This opportunity is suited to experienced educators, trainers and learning professionals seeking to apply their expertise in a flexible, independent and digitally enabled environment.More experienc... Show more
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
Job Type: Contractor (~15 hours/week)
Location: Remote
We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.
You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.
Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.
Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.
