Backend developer • austin tx
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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Job Description:· Specialist in Teamcenter PLM and Active Workspace (AWC) configuration and customization· Experience in Teamcenter 13.Experience in ITK customization· Experience in configuring dat... Show more
Overview:</b></div> </div> <div> </div> <div>TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic tale... Show more
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Remote — US working hours overlap.K–$240K annually + meaningful equity.Senior/Staff Software Engineer.The product helps companies test and improve their AI voice agents at scale.The platform can au... Show more
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Microsoft Dynamics Developer role.This role is a 6-12 month long contract to hire role.We can only submit candidates that do not require sponsorship now or in the future to work in the US.The posit... Show more
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Adobe Experience Manager (AEM).Java/J2EE development experience.Minimum 5+ years of hands-on experience delivering enterprise AEM projects.Extensive experience with AEM Workflows, Sling Servlets, R... Show more
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Greetings,</div> <div style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"> </div> <b>Need only local </b> <div class="gmail_qu... Show more
The average salary range is between $ 104,375 and $ 156,600 year , with the average salary hovering around $ 125,583 year .
The average salary range is between $ 106,502 and $ 156,769 year , with the average salary hovering around $ 125,000 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.
