Data Science Jobs

This role involves leveraging specialized industry expertise to train next-generation AI systems. The consultant will review, edit, and generate professional documents across fields like legal, government, or healthcare, ensuring high-quality input for model training. The work is fully remote and contractor-based, focusing on improving AI reasoning and performance through real-world domain knowledge.

Develop and optimize enterprise-wide search systems and AI/ML models for ranking, personalization, and recommendations. Collaborate with business units to build AI-enabled search features and improve search accuracy through user behavior analysis.

DataZymes is seeking a highly analytical Data Scientist with 4-7 years of experience in patient-level data to generate insights that drive strategic and operational decisions. The role requires deep clinical understanding, hands-on healthcare data expertise, and the ability to translate complex analyses into actionable business recommendations.

We are seeking a Data Scientist to partner with product teams and identify high-leverage machine learning opportunities that drive key business metrics. This role involves building and deploying models for personalization, revenue optimization, user discovery, fraud detection, and propensity scoring, using large structured and unstructured datasets.

The Analytics Consultant role focuses on patient data analytics within the health tech sector. Responsibilities include integrating and analyzing healthcare datasets such as claims, EHR, lab, and pharmacy data to generate patient-level insights and develop predictive models. The consultant will deliver data-driven recommendations to support clinical and commercial decision-making.

This role involves applying advanced physics expertise to train next-generation AI systems. You will evaluate, curate, and annotate physics content, create precise prompts and correction guidelines, and assess AI outputs for accuracy and clarity. It is a remote contract position where your domain knowledge is valued over prior AI experience.

This contract role involves applying nutrition and dietetics expertise to help train AI systems. You will design nutritional programs, contribute to AI health datasets, and review AI-generated nutrition content. Your work will shape how AI models learn and reason about health, without requiring prior AI experience.

This role involves training next-generation AI systems by providing high-quality linguistic data in Thai and English. As a Thai Language Expert, you will annotate and review text, validate AI-generated content for grammatical and cultural accuracy, and collaborate with data scientists to refine training datasets. The position is part-time, remote, and pays $42-$90 per hour.

This role involves applying computational biology and genomics expertise to train next-generation AI systems. As a contractor, you will review analytical rubrics, evaluate sequence alignment strategies and CRISPR design tools, and interpret large-scale genomics data to improve model learning. You will collaborate with multidisciplinary teams to provide feedback and develop standards for sequence analysis and data integration.

This role involves applying your Albanian language expertise to help train next-generation AI systems. You will transcribe and analyze Albanian video content, annotate timestamps, and evaluate emotional tone and linguistic accuracy. Your work will directly shape how AI models learn and reason with real-world language data.

This contract role involves using microbiology expertise to train next-generation AI systems by providing high-quality, real-world data. The microbiologist will analyze microscopic organisms, study their relationship to disease, assess antibiotic impacts, and document findings to support AI model accuracy. The position is fully remote and does not require prior AI experience, focusing instead on domain knowledge in microbiology.

This role involves applying advanced STEM expertise to help train next-generation AI systems by providing high-quality, real-world input. The position focuses on curriculum design, research methodology, mentoring teams, and communicating complex scientific concepts. No prior AI experience is required; domain knowledge in a STEM field is paramount.

This role applies deep expertise in library and information science to train next-generation AI systems. The expert will develop and implement information management policies, curate digital and physical collections, and advise on library system optimizations. The work involves conducting research, mentoring team members, and producing documentation to support evidence-based decision-making and knowledge transfer.

This Machine Learning Engineer role involves applying domain expertise to train and improve next-generation AI systems. You will develop, deploy, and maintain ML models using TensorFlow and Scikit-Learn, perform data preprocessing and feature engineering, and collaborate with cross-functional teams to deliver scalable solutions. The work focuses on real-world problem-solving and continuous model refinement in a remote contractor setting.

In this role, you'll apply your STEM expertise to help train next-generation AI systems by reviewing images and videos, developing challenging questions, and tagging tasks for precise routing. No prior AI experience is required — your domain knowledge is what matters. The role involves cross-functional collaboration, mentoring junior contributors, and using innovative pedagogical methods to create high-quality content.

This role involves applying data science expertise to train next-generation AI systems by providing high-quality, real-world input. The data scientist will collect, clean, and preprocess data, develop statistical models, perform exploratory analysis, and present insights through visualizations. The position is remote and contractor-based, emphasizing domain knowledge over prior AI experience.

This role involves applying data science expertise to train next-generation AI systems. The Data Scientist will design and implement machine learning models, analyze complex datasets, and collaborate with cross-functional teams to deliver insights that improve model learning and reasoning. The position is fully remote and contractor-based, focusing on high-quality, real-world data input without requiring prior AI experience.

This role involves applying pathology expertise to train next-generation AI systems. You will review and annotate diverse medical data sets, including histopathology images and clinical notes, to guide model learning. Collaborating with AI developers and data scientists, you will provide domain-specific feedback to optimize AI accuracy while ensuring compliance with patient privacy standards.

In this role, you will apply your data science expertise to help train next-generation AI systems by collecting, cleaning, and analyzing diverse datasets. You will develop statistical models, perform exploratory analysis, and present actionable insights through visualizations and reports. Collaboration with team members on end-to-end data projects is key, and no prior AI experience is required—your domain knowledge is what matters.

In this role, you will apply your data science expertise to help train next-generation AI systems by collecting, cleaning, and modeling diverse datasets. You'll conduct exploratory analysis, develop statistical models, and present insights to both technical and non-technical stakeholders. The position emphasizes domain knowledge over prior AI experience, making it ideal for experienced data professionals looking to contribute to AI training.

This role involves applying chemistry expertise to help train next-generation AI systems. The contractor will analyze scientific documents, develop high-quality questions and answers, and collaborate with teams to ensure scientific rigor. No prior AI experience is required—domain knowledge in chemistry is the primary qualification.