AI Model Trainer

Employment TypeFull TimeLocationRemoteExperienceAI/ML Training, Data Annotation, Model Evaluation, or NLP RolesCompany DescriptionScry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI, insurance, logistics, and industrial enterprises to drive efficiency, insight, and compliance. Our product suite includes Auriga for conversational AI, Collatio for document intelligence, and Concentio for cognitive IoT and operational intelligence. These platforms help clients convert complex, fragmented data into actionable enterprise intelligence.We are looking for an AI Model Trainer to develop, evaluate, and refine AI models by working closely with training data, annotations, and feedback loops. This role is critical in improving model performance, accuracy, and real-world applicability.Role OverviewAs an AI Model Trainer at Scry AI, you will be responsible for preparing datasets, evaluating model outputs, and continuously improving AI systems through structured feedback and training workflows. You will collaborate with data scientists and engineers to ensure models perform effectively across use cases.This role is ideal for someone who is analytical, detail-oriented, and interested in working at the intersection of data, AI, and model performance in a fast-paced environment.Key ResponsibilitiesModel Training & Data PreparationPrepare and curate datasets for training AI modelsSupport training processes by organizing and structuring dataEnsure high-quality data inputs for model performanceModel Evaluation & FeedbackEvaluate AI model outputs for accuracy and relevanceIdentify errors, edge cases, and inconsistenciesProvide structured feedback to improve model performanceAnnotation & Data Quality ManagementWork on data labeling and annotation tasks where requiredEnsure consistency and accuracy in annotated datasetsMaintain quality standards across training dataCollaboration & Workflow SupportWork closely with data scientists and engineering teamsSupport development of training pipelines and workflowsAssist in refining guidelines and training processesContinuous Improvement & DocumentationDocument training processes, findings, and improvementsStay updated with AI/ML trends and model training techniquesContribute to improving efficiency and scalability of training workflowsRequired Qualifications and SkillsExperience in AI model training, data annotation, or related rolesBasic understanding of AI/ML concepts, especially NLP or data processingStrong attention to detail and analytical thinkingAbility to evaluate data and model outputs criticallyGood communication and collaboration skillsFamiliarity with data tools and workflowsOur Ideal CandidateIs analytical and detail-orientedCan work with data and model outputs effectivelyIs proactive in identifying issues and improving performanceCollaborates well with technical teamsThrives in a fast-paced, data-driven environmentIs interested in AI, machine learning, and model optimizationIf this role interests you, follow our page to stay updated on more job opportunities and insights into how AI companies train and refine intelligent systems.

Created: 2026-05-13