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Operations Lead – AI Data Operations
Location
Latin America
Posted
70 days ago
Salary
0
Seniority
Senior
Job Description
Operations Lead – AI Data Operations
NIR-YU
• Own the execution and delivery of AI data labeling programs across multiple clients and datasets • Build and maintain operational systems that support scalable project delivery • Establish operational frameworks that ensure consistent quality, efficiency, and throughput • Identify operational bottlenecks and implement improvements • Design operational playbooks for onboarding new projects and scaling existing ones • Oversee the full lifecycle of annotation programs from onboarding through delivery • Manage a portfolio of concurrent projects including pilot datasets and larger production programs • Coordinate across project managers, QA teams, and contributor networks • Monitor operational performance and proactively address delivery risks • Design and refine annotation workflows • Implement scalable quality assurance frameworks across annotation pipelines • Support the operational onboarding of new client programs • Track key operational metrics including throughput, quality performance, and delivery timelines • Guide and coordinate project managers and QA teams
Job Requirements
- 6–10 years of experience in operations, program management, or delivery roles
- Experience managing large-scale annotation programs involving distributed teams, contributor networks, and structured quality frameworks
- Familiarity with multimodal datasets such as image, video, spatial, sensor, or language data
- Excellent written and verbal communication skills
- Strong understanding of how labeled datasets are used in machine learning pipelines
- Experience using operational and project management tools such as ClickUp, Jira, Notion, or Airtable
- Resourceful, adaptable, and comfortable operating in fast-moving environments
Benefits
- Health insurance
- Professional development
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