Remote Data Quality & Insights Manager

Remotebridge; United States; Remote; USD 75,000 - 110,000; Full time

Job summary

Remotebridge is seeking a Human Data Manager to support training of next-generation AI systems from a fully remote location in the United States.

You will design data workflows, monitor KPIs, analyze datasets, and collaborate across teams to improve data quality, reporting, and scalability. No AI experience required; domain knowledge and a data-focused mindset are valued, with opportunities to learn and grow in a fast-paced environment.

Qualifications

• Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.
• Familiarity with operational processes and a passion for increasing efficiency.
• Ability to interpret and communicate data-driven insights clearly, in writing and verbally.
• Strong drive to learn, thrive under pressure, and work in a fast-paced environment.
• Excellent collaboration skills and attention to data quality and validation.

Responsibilities

• Design, build, and manage robust data workflows for annotation, collection, processing, and analysis.
• Establish and monitor KPIs to optimize performance and data-driven decision-making.
• Analyze datasets to uncover actionable insights and present recommendations for efficiency.
• Collaborate cross-functionally to align data strategies with business objectives.
• Develop and maintain reporting frameworks tracking metrics and workflow improvements.
• Continuously refine processes to ensure scalability, data integrity, and quality.
• Demonstrate ownership with a proactive, hands-on approach to operational challenges.

Skills

Data analysis

Annotation

Workflow optimization

Operational processes

Data quality

Communication of insights

Tools

Excel

Tableau

Power BI

Python

SQL

Job description

Remotebridge is seeking a Human Data Manager to support training of next-generation AI systems from a fully remote location in the United States.

You will design data workflows, monitor KPIs, analyze datasets, and collaborate across teams to improve data quality, reporting, and scalability. No AI experience required; domain knowledge and a data-focused mindset are valued, with opportunities to learn and grow in a fast-paced environment.