Project Specialist

🕒 il y a 3 mois

🇪🇸 Espagne – Télétravail

💵 $20 - $25 / heure

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👻 Score fantôme 35%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

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Appen

501 - 1000 employés

Fondée en 1996

💼 Conseil

📣 Marketing

🤖 Intelligence artificielle

Consulting • Marketing • Artificial Intelligence

Appen est une entreprise spécialisée dans la fourniture de jeux de données de haute qualité et évolutifs pour les modèles et applications d'intelligence artificielle. Forte de plus de 25 ans d'expérience, Appen soutient le cycle de vie complet de l'IA en collectant, organisant, ajustant et surveillant les données. Leur plateforme est reconnue pour sa flexibilité, permettant aux entreprises de libérer le potentiel de leurs données grâce à la collaboration homme-IA. La portée mondiale et l'expertise d'Appen en font un partenaire de confiance pour accélérer le développement et la mise en œuvre des technologies d'IA dans divers secteurs.

Description

• Coordinate assigned project workstreams - covering productivity, qualification, training, crowd communications, and QA - to ensure on-time delivery against execution standards • Deliver high-quality annotation and QA during POC and pilot phases to establish quality benchmarks and de-risk new client relationships from day one • Partner with Client Partners and Pilot Teams to validate quote assumptions, including time-per-task and quality requirements, before finalization • Analyze datasets to surface patterns, insights, and optimization opportunities that inform automation strategy and drive thought leadership content for customers • Support Project Managers and Client Partners as the AI expert point of contact across client meetings, workshops, QBRs, and status updates • Maintain version control and change communication protocols to ensure contributors are informed of guideline updates prior to launch and throughout production • Translate QA findings into targeted improvements to supporting materials, reducing recurring annotation errors and improving overall data quality • Provide data-backed findings and consultancy insight to strengthen Appen's advisory value during critical early project phases and ongoing client relationships

🎯 Exigences

• Proven experience coordinating or delivering data annotation, content evaluation, or AI training data projects in a structured delivery environment • Strong understanding of data quality principles, QA methodologies, and annotation workflows within GenAI or adjacent AI domains • Ability to create clear, accurate contributor-facing documentation including guidelines, FAQs, and cheatsheets under tight timelines • Experience supporting pilot or POC phases, including validating operational assumptions and establishing quality benchmarks • Demonstrated ability to analyse datasets, identify patterns, and translate findings into actionable insights or process improvements • Confident communicator with experience engaging cross-functional stakeholders, including client-facing participation in meetings, workshops, or reporting cycles • Disciplined approach to version control, update management, and change communication across distributed contributor teams • Comfortable operating across multiple concurrent workstreams with a high degree of ownership and attention to delivery standards

🏖️ Avantages

• medical, dental, and vision coverage • retirement plan options • paid time off

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