Quality Analyst - Generative AI Data Quality

Welocalize; A distancia; MXN 720,000 - 900,000; Jornada completa

Descripción de la vacante

A global data solutions company is seeking a Quality Assurance Manager to oversee client-specific QA programs and performance metrics. The role includes establishing QA strategies, managing client escalations, and coaching team members. Candidates should have a Bachelor's degree, 2+ years in quality ops, and excellent communication skills in English. This position offers the opportunity to lead projects while ensuring compliance and fostering team development in a remote working environment.

Formación

• 2+ years in quality/ops with hands-on QA and workforce coordination required.
• Near-native English with strong writing and editorial skills is essential.
• Experience in QA testing or AI safety evaluation is a plus.

Responsabilidades

• Set client QA strategies and adapt to changes.
• Run root-cause analyses; drive CAPA plans.
• Plan training & certification for raters/annotators.

Conocimientos

Multi-project planning

Clear client communications

Spreadsheets

Effective in global teams

Educación

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

Herramientas

Data-annotation platforms

Generative AI tools

Descripción del empleo

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.

ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.

DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.

RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.

Role Purpose

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 Coordinators on tools, workflows, and QA craft.
• Ensure compliance/security across data handling and platform access.

Skills

• 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.

Scope and Autonomy

• Leads quality, training, and performance tracks across several projects; independent within guardrails.
• Shared accountability for client results and team performance with Ops Manager.

Education and Experience

• 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).