{"schemaVersion":"jobsearcher.job.v1","id":"eca72bc6b52c1f0414c2a4a7","url":"https://jobsearcher.com/jobs/eca72bc6b52c1f0414c2a4a7","canonicalUrl":"https://jobsearcher.com/jobs/eca72bc6b52c1f0414c2a4a7","title":"Data Scientist (Masters)","description":"Data Scientist (Masters) — AI Data TrainerAbout The RoleWhat if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and problem-solve?We're looking for data scientists with advanced degrees to work alongside leading AI research labs — designing expert-level challenges, authoring rigorous solutions, and auditing AI-generated code to make models smarter, more accurate, and more reliable.This is a fully remote, flexible contract role. No prior AI industry experience required — just serious domain expertise and a sharp analytical mind.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign Advanced Challenges — Create complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and moreAuthor Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for AI trainingAudit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctnessRefine AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets and provide structured feedback to sharpen model thinkingDocument Failure Modes — Probe advanced language models on topics like neural network architectures and data engineering pipelines, capturing and reporting every reasoning gapWho You ArePursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focusStrong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLPAble to communicate highly technical algorithmic and statistical concepts clearly and concisely in writingExceptionally detail-oriented when reviewing code syntax, mathematical notation, and the validity of statistical conclusionsSelf-directed and comfortable working independently on an async scheduleNo prior AI or data annotation experience requiredNice to HaveExperience with data annotation, data quality assurance, or AI evaluation systemsProficiency in production-level data science workflows — MLOps, CI/CD for models, or similarFamiliarity with model evaluation frameworks or benchmarking methodologiesWhy Join UsWork directly on cutting-edge AI projects alongside world-leading research labsFully remote and async — work when and where it suits youFreelance autonomy with meaningful, intellectually stimulating workDirect, hands-on engagement with industry-leading large language modelsPotential for ongoing contract renewals as new projects launch","company":"Alignerr","rawCompany":"alignerr","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:00:04.451Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"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"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist (Masters)","description":"Data Scientist (Masters) — AI Data TrainerAbout The RoleWhat if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and problem-solve?We're looking for data scientists with advanced degrees to work alongside leading AI research labs — designing expert-level challenges, authoring rigorous solutions, and auditing AI-generated code to make models smarter, more accurate, and more reliable.This is a fully remote, flexible contract role. No prior AI industry experience required — just serious domain expertise and a sharp analytical mind.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign Advanced Challenges — Create complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and moreAuthor Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for AI trainingAudit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctnessRefine AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets and provide structured feedback to sharpen model thinkingDocument Failure Modes — Probe advanced language models on topics like neural network architectures and data engineering pipelines, capturing and reporting every reasoning gapWho You ArePursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focusStrong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLPAble to communicate highly technical algorithmic and statistical concepts clearly and concisely in writingExceptionally detail-oriented when reviewing code syntax, mathematical notation, and the validity of statistical conclusionsSelf-directed and comfortable working independently on an async scheduleNo prior AI or data annotation experience requiredNice to HaveExperience with data annotation, data quality assurance, or AI evaluation systemsProficiency in production-level data science workflows — MLOps, CI/CD for models, or similarFamiliarity with model evaluation frameworks or benchmarking methodologiesWhy Join UsWork directly on cutting-edge AI projects alongside world-leading research labsFully remote and async — work when and where it suits youFreelance autonomy with meaningful, intellectually stimulating workDirect, hands-on engagement with industry-leading large language modelsPotential for ongoing contract renewals as new projects launch","datePosted":"2026-04-09T08:00:04.451Z","dateModified":"2026-04-09T08:00:04.451Z","hiringOrganization":{"@type":"Organization","name":"Alignerr","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eca72bc6b52c1f0414c2a4a7"},"url":"https://jobsearcher.com/jobs/eca72bc6b52c1f0414c2a4a7"}}