Remote Data Operations Lead for Human Data & AI Workflows

SaidGig; New York (NY); Remote; USD 55,000 - 83,000; Full time

Job summary

SaidGig is seeking a remote Data Operations role to design and optimize data workflows that support AI model training and evaluation. You will help collect, annotate, and analyze data, while establishing KPIs and reporting to drive improvements.

Ideal candidates will merge data operations expertise with strong communication, collaboration, and problem-solving in a fast-paced, distributed environment. This role is remote and worldwide, with region-specific hiring processes.

Qualifications

• Experience in data analysis, annotation, or workflow optimization.
• Understanding of operational processes and efficiency improvement.
• Ability to communicate data-backed insights in writing and verbally.
• Strong collaboration, attention to detail, and data quality focus.
• Fast learner who performs well under pressure in a dynamic environment.
• Experience with data operations, quality analysis, or human data is relevant.

Responsibilities

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

Skills

Data analysis

Data annotation

Workflow optimization

Operational improvement

Written and verbal communication

Project management

Tools

Excel

Tableau

Power BI

Python

SQL

Job description

SaidGig is seeking a remote Data Operations role to design and optimize data workflows that support AI model training and evaluation. You will help collect, annotate, and analyze data, while establishing KPIs and reporting to drive improvements.

Ideal candidates will merge data operations expertise with strong communication, collaboration, and problem-solving in a fast-paced, distributed environment. This role is remote and worldwide, with region-specific hiring processes.