Job Description & How to Apply Below
:
Full Time
Location :
Remote
Experience :
Data Annotation, AI Training, NLP, or Data Operations Roles
Company Description (Visit to learn more)
Scry 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 Data Trainer to support the development of intelligent models by curating, annotating, and refining data used for training AI systems. This role is critical in improving model accuracy, consistency, and real-world performance.
Role Overview
As an AI Data Trainer at Scry AI, you will be responsible for preparing and annotating datasets, validating model outputs, and contributing to the continuous improvement of AI systems. You will work closely with data scientists, product teams, and engineers to ensure high-quality training data and feedback loops.
This role is ideal for someone who is detail-oriented, analytical, and interested in working with AI systems and data-driven workflows in a fast-paced environment.
Key Responsibilities
Data Annotation & Labeling
Annotate and label datasets for training AI models
Ensure accuracy, consistency, and quality of labeled data
Follow defined annotation guidelines and standards
Model Evaluation & Feedback
Review AI model outputs and identify errors or inconsistencies
Provide feedback to improve model performance and accuracy
Support iterative model training and refinement processes
Data Quality & Validation
Perform quality checks on datasets and annotations
Identify data gaps, inconsistencies, and edge cases
Ensure datasets meet training and validation requirements
Collaboration & Workflow Support
Work closely with data science and engineering teams
Support development of training pipelines and workflows
Assist in refining annotation guidelines and processes
Documentation & Continuous Improvement
Maintain documentation of annotation processes and standards
Contribute to improving data workflows and efficiency
Stay updated with AI trends, tools, and best practices
Required Qualifications and Skills
Experience in data annotation, data labeling, or AI training workflows
Strong attention to detail and accuracy
Basic understanding of AI/ML concepts, especially NLP or data processing
Ability to follow guidelines and maintain consistency
Strong analytical and problem-solving skills
Good communication and collaboration abilities
Our Ideal Candidate
Is detail-oriented and quality-focused
Can work with large datasets and maintain consistency
Is proactive in identifying issues and improving processes
Collaborates effectively with technical teams
Thrives in a fast-paced, data-driven environment
Is interested in AI, machine learning, and data workflows
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