Data Scientist
hace 4 semanas
Data Scientist (Masters) - AI Data Trainer Join to apply for the Data Scientist (Masters) - AI Data Trainer role at Alignerr. This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $40.00/hr - $80.00/hr Location: Remote About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. You’ll challenge advanced language models on topics such as machine learning theory, statistical inference, neural network architectures, and data engineering pipelines—documenting every failure mode so we can harden model reasoning. Organization Alignerr | Position: Data Scientist (Masters) - AI Data Trainer | Type: Hourly Contract | Compensation: $40–$80 /hour | Location: Remote | Commitment: 10–40 hours/week What You’ll Do Develop Complex Problems: Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross‑validation strategies, and dimensionality reduction. Author Ground‑Truth Solutions: Create rigorous, step‑by‑step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as \"golden responses.\" Technical Auditing: Evaluate AI‑generated code (using libraries such as Scikit‑Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency. Refine Reasoning: Identify logical fallacies in AI reasoning—such as data leakage, overfitting, or improper handling of imbalanced datasets—and provide structured feedback to improve the model’s \"thinking\" process. Requirements Advanced Degree: Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis. Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP. Analytical Writing: The ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form. Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions. No AI experience required. Preferred Prior experience with data annotation, data quality, or evaluation systems. Proficiency in production‑level data science workflows (e.g., MLOps, CI/CD for models). Why Join Us Excellent compensation with location‑independent flexibility. Direct engagement with industry‑leading LLMs. Contractor advantages: high agency, agility, and international reach. More opportunities for contracting renewals. Application Process (Takes 15‑20 min) Submit your resume. Complete a short screening. Project matching and onboarding. PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Referrals increase your chances of interviewing at Alignerr by 2x. #J-18808-Ljbffr
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Data Scientist
hace 3 días
distrito federal, México Atos A tiempo completoData Scientist We are seeking an exceptional Senior Data Scientist having 8+ years of combined experience in Analytics, Science and Gen AI. As a Senior Data Scientist, you will play a pivotal role in shaping the future of our initiatives at the intersection of Gen AI, agents, ML and software engineering. You will work closely with cross-functional teams to...
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Data Scientist
hace 1 semana
distrito federal, México Atos A tiempo completoWe are seeking an exceptional Senior Data Scientist having 8+ years of combined experience in Analytics, Science and Gen AI. As a Senior Data Scientist, you will play a pivotal role in shaping the future of our initiatives at the intersection of Gen AI, agents, ML and software engineering. You will work closely with cross-functional teams to design,...
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Data Scientist
hace 11 horas
distrito federal, México Salesforce, Inc.. A tiempo completoDATA SCIENTIST Mexico City - Latam Job Details We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career...
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Data Scientist Senior
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Remote Data Scientist
hace 4 semanas
distrito federal, México Alignerr Corp. A tiempo completoAn AI research company is seeking a Data Scientist (Masters) - AI Data Trainer. This role involves designing advanced data science challenges, authoring technical solutions, and evaluating AI-generated codes for accuracy. Ideal candidates should have an advanced degree in a quantitative field, strong analytical writing skills, and attention to detail. Join...
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Senior Data Scientist
hace 1 semana
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Principal Data Scientist
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distrito federal, México Tiger Analytics Inc. A tiempo completoTiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also...
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Senior Data Scientist
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Senior Data Scientist: Gen AI, ML
hace 3 días
distrito federal, México Atos A tiempo completoA technology company is looking for a Senior Data Scientist located in Mexico City. The candidate should have over 8 years of experience in analytics, machine learning, and generative AI. Responsibilities include designing and deploying machine learning models, optimizing data solutions, and collaborating across teams. If you have a strong background in...
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Senior Data Scientist: Gen AI, ML on GCP
hace 1 semana
distrito federal, México Atos A tiempo completoA leading technology solutions provider in Mexico City seeks a Senior Data Scientist with over 8 years of experience in Analytics, Science, and Gen AI. This role involves designing and deploying machine learning models, maintaining scalable data pipelines on GCP, and implementing MLOps best practices. The ideal candidate will collaborate across teams and...
