Quality Coordination Lead (AI Operations)
New
MexicoFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- Near-native level English with strong writing and editorial skills; Multilingual ability beyond English.
- Experience
- 2+ years in quality/ops with hands-on QA and workforce/training coordination; 1+ years leading people/pods.
- Required Skills
- Business IntelligenceOperations ManagementQuality AssuranceStakeholder managementGenerative AI
Requirements
- Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.
- 2+ years in quality/ops with hands-on QA and workforce/training coordination.
- 1+ years leading people/pods (formal or informal).
- Near-native level English with strong writing and editorial skills.
- Multilingual ability beyond English.
- Hands-on experience with generative AI tools (text/voice/video).
- Background in QA testing, rubric design, or AI safety/ethics evaluation.
- Strong proficiency in spreadsheets, project management/task boards, and basic BI tools.
- Capacity planning experience with vendors.
- Ability to interpret code/datasets/workflows at a conceptual level (no coding required).
- Experience with data-annotation platforms and model-evaluation tools.
- Proven ability to work independently in a remote environment.
Responsibilities
- Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes.
- Run root-cause analyses and drive CAPA plans with owners, timelines, and effectiveness checks.
- Plan training and certification for raters, annotators, and coordinators.
- Maintain dashboards monitoring throughput, accuracy, productivity, and cost.
- Manage client escalations, presenting options, trade-offs, and recovery paths.
- Standardize SOPs, templates, and checklists to remove bottlenecks.
- Pilot small automations with Ops Tech and scale successful wins.
- Coach teams on tools, workflows, and QA craft.
- Ensure compliance and security across data handling and platform access.
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