Data Specialist - AI Training

Description :

We are looking for a highly skilled AI Training & Data Specialist who brings a strong blend of analytical thinking, hands-on experience with AI model training, and the ability to work seamlessly with cross-functional teams such as Operations, Delivery, and AI Engineering. The ideal candidate is detail-oriented, proactive, and passionate about building high-quality datasets that train and optimize enterprise AI models.

Key Responsibilities :

- Curate, prepare, and structure comprehensive datasets for a variety of Automation Operations (AO) use cases.

- Ensure datasets are robust, diverse, and aligned with business processes and client-specific requirements.

- Build scalable data pipelines and maintain documentation supporting model training workflows.

- Annotation & Edge Case Identification

- Identify, annotate, and document complex scenarios, exceptions, and edge cases to enhance model adaptability and accuracy.

- Develop annotation guidelines and standards to ensure consistency and high-quality labeled data across teams.

- Model Evaluation & Continuous Supervision

- Monitor and evaluate AI model outputs for accuracy, contextual relevance, and adherence to performance expectations.

- Provide clear, actionable insights to AI Engineering teams to support model refinement and optimization.

- Data Gap Analysis & Enhancement

- Conduct periodic analysis of existing datasets to identify gaps, inconsistencies, and improvement areas.

- Recommend data augmentation techniques, new data sources, and enhancements to elevate model performance.

- Cross-Functional Collaboration

- Collaborate closely with Operations, Delivery, and AI Engineering teams to gather feedback, understand business requirements, and validate model behavior.

- Translate operational insights into improved data strategies and training optimizations.

- Compliance & Quality Assurance

- Ensure all data handling, labeling, storage, and usage practices meet internal quality standards and comply with regulatory requirements.

- Maintain audit trails, documentation, and quality checks for all data training activities.

Qualifications :

Minimum Qualifications :

- Excellent communication and collaboration skills for cross-functional coordination.

- Ability to understand business needs and translate them into technical data and model-training requirements.

Preferred Qualifications/Skills :

- Demonstrated success in managing complex, multi-stakeholder projects or leading teams.

- Familiarity with compliance standards in data management (e.g., GDPR, data privacy frameworks).

- Background in data science, machine learning, analytics, or related technical disciplines.