Multilingual STEM Quality Lead

Lead quality operations across multilingual STEM projects, connecting annotators, evaluators and domain experts.

Key responsibilities

• Run calibration and disagreement analysis.
• Maintain terminology and style guidance.
• Monitor quality trends and retraining needs.
• Resolve escalations and approve delivery batches.

What we look for

• STEM degree plus professional English and native/near-native capability in a target language; QA leadership strongly preferred.

How success is measured

Inter-annotator agreement, batch acceptance, escalation resolution.

How this works on Jwuma

Candidate profile → skills evidence → domain assessment → calibration task → qualification → project matching → production → peer review → expert QA → performance feedback and progression. Corpshore AI service alignment Applicable across annotation and labeling, RLHF and preference data, model evaluation and red-teaming, multimodal datasets and specialized AI data operations, depending on project scope. Global Talent Deployment Strategy The role architecture should recruit against Corpshore’s global footprint rather than a single labor market. Corpshore’s locations content highlights delivery and talent potential across North America, LATAM, Europe, Africa, the Middle East, South Asia and Southeast Asia. Use regional hubs for language coverage, time-zone alignment, specialist sourcing and scalable operations. Suggested operating principle: source for verified domain expertise first; match language and regional context second; then use JWUMA assessments and calibration to determine project readiness. Do not assign a country to a role exclusively—specialist talent availability should be continuously measured through applicant supply and project demand. SEO, GEO & Voice Search Publishing Framework Primary page pattern: “[Role] Jobs | Train and Evaluate AI | Corpshore AI”. Add a 40–60 word answer-first summary immediately below each H1. Use structured FAQ questions: “What does a STEM AI evaluator do?”, “What qualifications do I need?”, “Can I work remotely?”, “How does the assessment work?” Publish JobPosting and Organization structured data where applicable and keep salary, location, employment type and application deadlines current. Use natural entity language consistently: Corpshore AI, Corpshore Solutions and JWUMA. Create location-aware landing pages only when there is real recruiting or delivery relevance; avoid thin duplicate pages. Use concise spoken answers because voice assistants favor direct responses to natural-language questions. Build internal links among role pages, domain hubs, careers, assessment guidance and project categories. Maintain canonical job titles while listing common synonyms to improve discoverability without keyword stuffing. Recommended JWUMA Information Architecture Role Directory → STEM Domain Hub → Individual Role Page → Assessment & Skills Profile → Project Opportunities → Contributor Dashboard → Quality & Progression. Filters should include STEM domain, role type, modality, language, country/region, work type, experience level and project status. Source and Implementation Note This document uses the correct platform reference supplied by the requester: platform.corpshore.ai. Corpshore AI service and careers positioning were used to align the role framework with published capabilities. The platform URL should be connected to its live product features before publishing any claims about exact JWUMA functionality, workflows or user interface.

Common questions