Senior Quality Analyst — Generative AI Data Quality

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  Leads strategic quality planning and cross-program optimization. Drives standardization, process automation, training, and client-focused quality solutions. Joint planning and shared responsibility with the Sr. Ops Manager. Key Responsibilities  Own portfolio-level QA frameworks and rubrics; keep alignment across programs and regions.  Lead automation and tooling roadmap with Ops Tech/Product (templates, scripts, API/RPA pilots).  Run systemic RCAs across programs; set cross-cutting corrective actions with measurable outcomes.  Design enablement programs (bootcamps, certification paths) and evaluate effectiveness.  Champion data quality metrics; define thresholds and guidance for model training/eval tasks.  Lead client/exec reviews on quality; translate insights into roadmap and investments.  Mentor P2/P1; guide C2–C3 growth in quality craft and reporting standards.  Ensure audit readiness and drive continuous improvement culture. Requirements  Education  Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.  Experience  2–3 years in quality/ops; 2+ years leading managers/pods or complex workstreams.  Skills  Portfolio planning and governance; financial awareness.  Executive-ready communication; strong negotiation.  Advanced analysis (spreadsheets, BI); SQL/ETL familiarity a plus.  Change leadership, standardization, and automation at scale.  Additional Qualifications (P1+)  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 & Autonomy  Owns outcomes for a portfolio of quality programs; sets methods and standards.  Works independently; escalates only non-standard/high-impact items.  Joint planning with Sr. Ops Manager for quality and client outcomes.