Quality Analyst - Generative AI Data

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Job Responsibilities:

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

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Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes.

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Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks.

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Plan training & certification for raters/annotators and coordinators; track completion and impact.

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Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions.

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Manage client escalations; present options, trade-offs, and recovery paths.

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Standardize SOPs, templates, and checklists; remove bottlenecks.

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Pilot small automations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins.

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Coach P1s and C2–C3 on tools, workflows, and QA craft.

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Ensure compliance/security across data handling and platform access.

Additional Job Details:

Education

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Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.

Experience

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2+ years in quality/ops with hands-on QA and workforce/training coordination.

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1 + years leading people/pods (formal or informal).

Skills

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Multi-project planning and stakeholder management.

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Clear client communications and governance cadence participation.

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Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.

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Capacity planning with vendors; confident escalation/negotiation.

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Effective in global, distributed teams.

Additional Qualifications (P1+)

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Near-native English with strong writing and editorial skills.

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Hands-on with generative AI tools (text/voice/video).

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Background in QA testing, rubric design, or AI safety/ethics evaluation.

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Familiarity with data-annotation platforms and model-evaluation tools.

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Ability to interpret code/datasets/workflows at a conceptual level (no coding required ).

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Works independently and manages workflows effectively in a remote setup.

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Multilingual ability beyond English.

Scope & Autonomy

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Leads quality, training, and performance tracks across several projects; independent within guardrails.

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Shared accountability for client results and team performance with Ops Manager.