Quality Analyst — Generative AI Data Quality

11 hours, 32 minutes ago
Full-time
Senior
Artificial Intelligence and Machine Learning
Welo Global

Welo Global

Welo Global specializes in providing enterprise localization, AI training data, and multilingual content solutions, leveraging a portfolio of specialized global brands to meet diverse customer needs in the AI and language services industry.

Professional Services
Founded 1997

Description

  • Set client QA strategies, including sampling design, audit methods, and acceptance thresholds, and adjust them as project scope or volume changes.
  • Perform root-cause analyses and drive corrective and preventive action plans with clear owners, timelines, and effectiveness checks.
  • Plan and track training and certification for raters, annotators, and coordinators, including completion and impact.
  • Maintain performance dashboards covering throughput, accuracy, productivity, and cost, and turn insights into actions.
  • Manage client escalations and present options, trade-offs, and recovery paths.
  • Standardize SOPs, templates, and checklists to remove bottlenecks and improve consistency.
  • Pilot small automations with Ops Tech, such as macros, templates, and RPA/API handoffs, and scale successful improvements.
  • Coach team members on tools, workflows, and quality practices.
  • Ensure compliance and security in data handling and platform access.
  • Lead quality, training, and performance tracks across multiple projects with shared accountability for results.

Requirements

  • Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.
  • 2+ years of experience in quality or operations with hands-on QA and workforce or training coordination.
  • 1+ years of experience leading people or pods, formally or informally.
  • Experience with multi-project planning and stakeholder management.
  • Strong skills in spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.
  • Experience with capacity planning, vendor coordination, and escalation or negotiation.
  • Ability to work effectively in global, distributed teams.
  • Near-native English proficiency with strong writing and editorial skills.
  • Hands-on experience with generative AI tools for text, voice, or video.
  • Background in QA testing, rubric design, or AI safety and ethics evaluation.
  • Familiarity with data-annotation platforms and model-evaluation tools.
  • Ability to interpret code, datasets, and workflows at a conceptual level; no coding required.
  • Ability to work independently and manage workflows effectively in a remote environment.
  • Multilingual ability beyond English is preferred.

Benefits

  • Full-time remote work arrangement.
  • Opportunity to work on multilingual generative AI data quality and evaluation projects.
  • Role with significant autonomy within clear guardrails.
  • Shared accountability for client outcomes and team performance with the Ops Manager.

Interested in this position?

Apply directly on the company website

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