Operations Specialist

TL;DR

Operations Specialist: Supporting delivery teams in managing complex AI data projects and ensuring seamless execution of data pipelines and workflows with an accent on technical operations, data architecture, and project coordination. Focus on troubleshooting, process optimization, and cross-functional collaboration to deliver high-quality datasets for AI applications.

Location: Remote, hiring across North and South America and Europe

Salary: $45,000–$85,000 USD

Company

hirify.global builds the Label Studio platform and Data Creation Laboratories to power data operations and create purpose-built datasets for AI systems used by leading AI teams worldwide.

What you will do

• Support delivery leads in executing high-stakes data projects from kickoff through delivery
• Monitor data pipelines and quality workflows, identifying bottlenecks and troubleshooting issues
• Coordinate across engineering, quality control, and laboratory operations to ensure on-time delivery
• Maintain project tracking systems, documentation, and delivery reporting
• Participate in technical discussions about data architecture and pipeline optimization
• Support operational analytics by building dashboards and surfacing insights

Requirements

• Location: Must be able to work remotely from North or South America or Europe
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 1-3 years experience in operations, technical program management, or engineering roles
• Strong technical foundation with understanding of data pipelines, APIs, and system architecture
• Proficiency with SQL and project management tools (Jira, Asana, Notion)
• Excellent communication skills and ability to work cross-functionally

Nice to have

• Experience with machine learning workflows or training data impact
• Familiarity with Python or scripting languages for automation
• Prior startup or tech company experience
• Knowledge of data annotation and quality control processes
• Experience supporting technical customers or delivery teams

Culture & Benefits

• Inclusive and equal opportunity workplace
• Remote work across multiple regions
• Compensation based on regional market rates
• Focus on operational excellence and innovation in AI data