Machine learning engineer • tempe 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
Global Thermoforming is looking for a reliable, safety-minded.We’re looking for someone who is dependable, mechanically inclined, pays attention to detail, and takes pride in producing quality work... Show more
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Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR.This role will be onsite 4 days a week and 1 remote day.The role of Senior Machine Learning Engineer... Show more
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Shift Differential for 2nd and 3rd Shift).Paleovalley and Wild Pastures were born from a simple but radical idea: real food can heal — people, animals, and the planet.When Paleovalley co-founders A... Show more
The role is responsible for promoting student success through accurate and responsive advisement of the experiential learning experience and service-related areas, providing support, coaching and a... Show more
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Headquartered in Sudbury, Mass.Methods provides an end-to-end portfolio of best-in-class products, engineering, service, parts, training, and integration.Methods has more than 300 employees, seven ... Show more
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Mesa, AZ offering a long-term career path, hands-on training, and advancement opportunities within a highly respected aerospace manufacturing environment.We're looking for candidates with experienc... Show more
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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.
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