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LeadFull-timeAIAPI
Salary Range
$15,300 - $20,700 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Owns client-specific quality programs, performance metrics, and escalations while leading team development and cross-functional coordination. Shared accountability for client outcomes and team performance with the Ops Manager.
Key Responsibilities
- →Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes.
- →Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks.
- →Plan training & certification for raters/annotators and coordinators; track completion and impact.
- →Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions.
- →Manage client escalations; present options, trade-offs, and recovery paths.
- →Standardize SOPs, templates, and checklists; remove bottlenecks.
- →Pilot small automations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins.
- →Coach P1s and C2–C3 on tools, workflows, and QA craft.
- →Ensure compliance/security across data handling and platform access.
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).
- ✓Multi-project planning and stakeholder management.
- ✓Clear client communications and governance cadence participation.
- ✓Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.
- ✓Capacity planning with vendors; confident escalation/negotiation.
- ✓Effective in global, distributed teams.
Additional Qualifications
- ✓Near-native English with strong writing and editorial skills.
- ✓Hands-on with generative AI tools (text/voice/video).
- ✓Background in QA testing, rubric design, or AI safety/ethics evaluation.
- ✓Familiarity with data-annotation platforms and model-evaluation tools.
- ✓Ability to interpret code/datasets/workflows at a conceptual level (no coding required).
- ✓Works independently and manages workflows effectively in a remote setup.
- ✓Multilingual ability beyond English.
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