Hiring Data Sourcing Manager | Remote

Innodata India; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company is seeking a Data Sourcing Manager for the AI Market to ensure high-quality, ethically sourced datasets for model training. This role involves vendor management, project oversight, and compliance with privacy regulations, requiring strong negotiation and data workflow skills.

Qualifications

• Experience in AI/ML data workflows.
• Strong knowledge of data privacy laws.
• Excellent negotiation and project management skills.

Responsibilities

• Define data needs based on model objectives.
• Oversee data collection projects from setup to delivery.
• Ensure compliance with GDPR, CCPA, and other data privacy regulations.

Skills

Project Management

Negotiation

Data Privacy Laws

Tools

Data Collection Tools

Job description

We are looking for Data Sourcing Manager for AI Market, a professional responsible for identifying, acquiring, and managing datasets required for training and validating AI models. This role is crucial in ensuring that data used is high-quality, diverse, ethically sourced, and aligned with the goals of the AI product or research.

Key Responsibilities:

Data Strategy & Planning

• Define data needs based on model objectives (e.g., speech, image, video, text).
• Plan data collection/sourcing in alignment with business and compliance goals.

Vendor & Partner Management

• Identify and engage third-party vendors, data collection agencies, or open-source providers.
• Negotiate data licensing, usage rights, and exclusivity terms.

Project Management

• Oversee data collection projects, from setup to delivery.
• Monitor timelines, budgets, and quality control processes.

Compliance & Ethics

• Ensure data sourcing complies with GDPR, CCPA, and other data privacy regulations.
• Maintain clear consent and documentation for all personally identifiable or sensitive data.

Quality Assurance

• Implement standards for data quality (accuracy, completeness, labeling consistency).
• Work with annotation and QA teams to validate data suitability for model training.

Cross-functional Collaboration

• Coordinate with AI engineers, product managers, and legal teams.
• Understand evolving needs for new data types as models develop.

Ideal Background:

• Experience in AI/ML data workflows.
• Strong knowledge of data privacy laws.
• Excellent negotiation and project management skills.
• Familiarity with tools for data collection, storage, and labeling.