Remote Human Data Ops Lead for AI Quality

SaidGig; New York (NY); Remote; USD 83.000 - 179.000; Vollzeit

Zusammenfassung

SaidGig is seeking a Data Operations role to help improve next-generation AI systems by turning real-world expertise into accurate, high-quality human data. You will own data operations and workflow improvements that support how AI models learn, reason, and perform.

The role focuses on designing and managing data workflows, establishing KPIs, analyzing datasets, and collaborating across teams to align data strategies with business objectives.

Qualifikationen

• Recent graduate with a technical degree and strong data-related skills.
• Experience or coursework in data analysis, annotation, or workflow optimization.
• Ability to interpret and communicate data-driven insights clearly.
• Familiarity with operational processes and a drive to improve efficiency.

Aufgaben

• Design, build, and manage data workflows for accurate annotation, collection, processing, and analysis.
• Establish and monitor KPIs to improve operational performance and inform decisions.
• Analyze datasets, identify actionable insights, and present recommendations that increase efficiency.
• Partner across functions to align data strategies with business objectives.
• Create and maintain reporting frameworks for key metrics and workflow improvements.
• Continuously improve processes for scalability, data integrity, and quality standards.
• Take a proactive, hands-on approach to identifying and resolving operational challenges.

Kenntnisse

Data analysis

Annotation

Workflow optimization

Data operations

Quality analysis

Project management

Communication

Collaboration

Data quality

Ausbildung

Bachelor's or Master's degree in CS/Data Analytics/Industrial Engineering/Operations Management/Economics/Finance

Tools

Excel

Tableau

Power BI

Python

SQL

Jobbeschreibung

SaidGig is seeking a Data Operations role to help improve next-generation AI systems by turning real-world expertise into accurate, high-quality human data. You will own data operations and workflow improvements that support how AI models learn, reason, and perform.

The role focuses on designing and managing data workflows, establishing KPIs, analyzing datasets, and collaborating across teams to align data strategies with business objectives.