{"schemaVersion":"jobsearcher.job.v1","id":"cdf1b43fcdbc9516d4fdf720","url":"https://jobsearcher.com/jobs/cdf1b43fcdbc9516d4fdf720","canonicalUrl":"https://jobsearcher.com/jobs/cdf1b43fcdbc9516d4fdf720","title":"Machine Learning Engineer - AI Trainer","description":"Models are surprisingly bad at reasoning about themselves: training dynamics, evaluation design, data pipelines, and deployment trade-offs. Plausible-sounding ML advice is often subtly wrong.\r\nAs a Machine Learning Engineer you'll stress-test how models reason about ML systems and write the answers a strong practitioner would give, shaping how the next generation handles your field.\r\nWhat you’ll actually doWrite promptsthat probe how models reason about training, evaluation, debugging, and productionizing ML systems.\r\nReview AI outputfor subtle errors: leaky evaluations, wrong loss formulations, and misdiagnosed training failures.\r\nWrite the correct solutionwhen the model falls short, grounded in real practitioner experience.\r\nWhat we look forHands‑on experience training, evaluating, or deploying models professionally or in serious personal work.\r\nComfort with the modern ML stack; most tasks assume Python and PyTorch or JAX.\r\nClear written English: your explanations are the training signal.\r\nNo degree required. We care about what you can do, not where you learned it.\r\nCompensationUp to $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full‑time income.\r\nAbout DataAnnotationDataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project‑available.#J-18808-Ljbffr","company":"Data Annotation","rawCompany":"dataannotation","city":"Kingston","state":"RI","isRemote":false,"isActive":true,"createdAt":"2026-11-13T01:43:31.736Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"}],"industries":[{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - AI Trainer","description":"Models are surprisingly bad at reasoning about themselves: training dynamics, evaluation design, data pipelines, and deployment trade-offs. Plausible-sounding ML advice is often subtly wrong.\r\nAs a Machine Learning Engineer you'll stress-test how models reason about ML systems and write the answers a strong practitioner would give, shaping how the next generation handles your field.\r\nWhat you’ll actually doWrite promptsthat probe how models reason about training, evaluation, debugging, and productionizing ML systems.\r\nReview AI outputfor subtle errors: leaky evaluations, wrong loss formulations, and misdiagnosed training failures.\r\nWrite the correct solutionwhen the model falls short, grounded in real practitioner experience.\r\nWhat we look forHands‑on experience training, evaluating, or deploying models professionally or in serious personal work.\r\nComfort with the modern ML stack; most tasks assume Python and PyTorch or JAX.\r\nClear written English: your explanations are the training signal.\r\nNo degree required. We care about what you can do, not where you learned it.\r\nCompensationUp to $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full‑time income.\r\nAbout DataAnnotationDataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project‑available.#J-18808-Ljbffr","datePosted":"2026-11-13T01:43:31.736Z","dateModified":"2026-11-13T01:43:31.736Z","hiringOrganization":{"@type":"Organization","name":"Data Annotation","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kingston","addressRegion":"RI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cdf1b43fcdbc9516d4fdf720"},"url":"https://jobsearcher.com/jobs/cdf1b43fcdbc9516d4fdf720"}}