{"schemaVersion":"jobsearcher.job.v1","id":"be1d17f4d55d2a07941a5d26","url":"https://jobsearcher.com/jobs/be1d17f4d55d2a07941a5d26","canonicalUrl":"https://jobsearcher.com/jobs/be1d17f4d55d2a07941a5d26","title":"Machine Learning Engineer – $140/hr – Remote","description":"Role OverviewMercor is driving a leading AI research initiative focused on benchmarking and enhancing model performance and training speed across a range of machine learning tasks. We’re seeking Machine Learning Engineers (MLEs) with 3+ years of experience to contribute to a multi-step pilot project designed to evaluate human-led planning and implementation workflows. This project is ideal for professionals interested in reproducible ML research and benchmarking AI model development pipelines.Key ResponsibilitiesDraft detailed, executable natural language plans to address ML-related Kaggle competition tasksImplement those plans in Python code within a provided Docker environmentValidate implementations against original plans and mark discrepanciesIdeal Qualifications3+ years of experience in applied machine learning or MLE rolesStrong Python engineering skills, especially for model training and data handlingFamiliarity with Docker-based development environmentsDetail-oriented approach to technical planning and code validationExperience with reproducibility and benchmarking in ML research (preferred)Comfortable working independently under strict compliance constraintsMore About the OpportunityRemote and asynchronous — set your own hoursEstimated commitment: 20 hours/weekExpected project duration: 4-6 weeksCompensation & Contract TermsUp to $140/hour depending on region and experiencePaid weekly via Stripe ConnectStructured as an independent contractor engagementApplication ProcessSubmit your resume to express interestComplete AI interview (<10 minutes) and short form revolving around your ML experienceSelected contributors will receive a sample spec and rubric to complete as an initial test (paid exercise)We aim to get back to all applicants within 7 business days of applying","company":"Nancy Assists","rawCompany":"nancy assists","isRemote":true,"isActive":false,"createdAt":"2026-05-23T05:38:50.329Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer – $140/hr – Remote","description":"Role OverviewMercor is driving a leading AI research initiative focused on benchmarking and enhancing model performance and training speed across a range of machine learning tasks. We’re seeking Machine Learning Engineers (MLEs) with 3+ years of experience to contribute to a multi-step pilot project designed to evaluate human-led planning and implementation workflows. This project is ideal for professionals interested in reproducible ML research and benchmarking AI model development pipelines.Key ResponsibilitiesDraft detailed, executable natural language plans to address ML-related Kaggle competition tasksImplement those plans in Python code within a provided Docker environmentValidate implementations against original plans and mark discrepanciesIdeal Qualifications3+ years of experience in applied machine learning or MLE rolesStrong Python engineering skills, especially for model training and data handlingFamiliarity with Docker-based development environmentsDetail-oriented approach to technical planning and code validationExperience with reproducibility and benchmarking in ML research (preferred)Comfortable working independently under strict compliance constraintsMore About the OpportunityRemote and asynchronous — set your own hoursEstimated commitment: 20 hours/weekExpected project duration: 4-6 weeksCompensation & Contract TermsUp to $140/hour depending on region and experiencePaid weekly via Stripe ConnectStructured as an independent contractor engagementApplication ProcessSubmit your resume to express interestComplete AI interview (<10 minutes) and short form revolving around your ML experienceSelected contributors will receive a sample spec and rubric to complete as an initial test (paid exercise)We aim to get back to all applicants within 7 business days of applying","datePosted":"2026-05-23T05:38:50.329Z","dateModified":"2026-05-23T05:38:50.329Z","hiringOrganization":{"@type":"Organization","name":"Nancy Assists","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"be1d17f4d55d2a07941a5d26"},"url":"https://jobsearcher.com/jobs/be1d17f4d55d2a07941a5d26"}}