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Senior Human Data Operations Partner, AI
Инновационная компания в быстрорастущем секторе ИИ-данных. Роль предлагает отличные возможности для профессионального роста на стыке операций и технологий, хотя отсутствие четких данных по зарплате в описании является минусом.
Сложность вакансии
Роль требует сочетания навыков управления операциями в маркетплейсах, глубокого понимания жизненного цикла AI/ML и умения работать с техническими инструментами автоматизации. Высокая ответственность за качество данных и масштабирование процессов добавляет сложности.
Анализ зарплаты
Указанная роль Senior уровня в международной технологической компании, работающей на рынке Мексики, обычно предполагает вознаграждение выше среднего по локальному рынку. Ожидаемый диапазон составляет 800,000 - 1,200,000 MXN в год в зависимости от опыта.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Human Data Operations Partner position at Prolific. With a solid background in marketplace operations and a deep understanding of the AI/ML lifecycle, I am particularly drawn to Prolific's mission of providing ethically sourced, high-quality human data. My experience in managing complex participant onboarding and verification processes aligns perfectly with your need for a hands-on leader to scale specialized participant pools.
In my previous roles, I have successfully transformed manual workflows into scalable, technology-driven solutions by partnering with product and tech teams. I am proficient in tools like Metabase, Zapier, and Asana, and I thrive in fast-paced environments where data-driven decision-making is key. I am eager to bring my expertise in operational excellence and stakeholder management to help Prolific maintain its position at the forefront of AI innovation.
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Описание вакансии
Senior Human Data Operations Partner, AI
Team: Human Data
Prolific
Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.
The role
As a Senior Human Data Operations Partner, you will play a pivotal role in ensuring the smooth execution of end-to-end operational processes that power Prolific's specialised participant pools. You’ll act as a key enabler for client-specific projects, working closely with delivery teams to align participant-related processes with strategic AI customer needs. You’ll also work to transform these processes and workflows into scalable solutions, partnering closely with our product and tech teams to do this. This role demands a hands-on approach to participant onboarding, verification, and quality management, as well as cross-functional collaboration to meet the demands of both internal stakeholders and external clients
What you’ll be doing in the role
- Serve as a key resource for client-specific AI delivery teams, acting as the primary point of contact for participant-related operations.
- Support bespoke client projects by managing participant onboarding, verification, and activation processes to meet deliverables.
- Identify and address gaps in participant supply, ensuring alignment with AI task requirements and quality standards.
- Develop detailed project plans, workflows, and enablement materials to support efficient delivery.
- Maintain Prolific’s participant pools as high-quality, diverse, and optimised to meet customer demands.
- Implement and manage verification processes for domain experts and AI taskers, ensuring their skills and qualifications meet client-specific requirements.
- Continuously optimise participant onboarding and activation funnels to enhance retention and task performance.
- Monitor participant engagement and quality metrics, using insights to drive improvements.
- Contribute to upskilling programmes and certification processes for participants involved in complex AI tasksWork closely with product, data, science, and customer success teams to align operational
priorities with strategic objectives.
- Collaborate with product managers to transform manual processes into scalable, technology-driven solutions.
- Act as a conduit between delivery teams and operational functions to ensure seamless project execution.
- Document and communicate operational changes to stakeholders across the business, ensuring smooth adoption.
What you’ll bring to the role
- Experience in operations, ideally in marketplace or platform environments.
- Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced environment.
- Strong project management skills, with attention to detail and operational execution.
- Experience in implementing and optimising processes to improve efficiency and scalability.
- Proficiency in operational tools and systems such as Metabase, Zapier, Asana, and HubSpot.
- Exceptional communication and documentation skills, with a track record of stakeholder enablement.
- Confidence with data analysis and operational metrics to support decision-making and continuous improvement
- Familiarity with human data operations, product or data operations, participant recruitment, or managing global crowdsourcing/gig-economy platforms.
- Experience supporting AI/ML lifecycle projects, such as data labelling, annotation, or domain-specific task curation.
- Understanding of Prolific’s platform and its role in delivering high-quality human data for AI research.
Why Prolific is a great place to work
We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
We believe that the next leap in AI capabilities won't come solely from scaling existing models but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation—one that reflects the breadth and the best of humanity.
Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, and our impactful, mission-driven culture.
Links to more information on Prolific
Privacy Statement
By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
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Навыки
- Data Analysis
- Project Management
- Stakeholder Management
- HubSpot
- Asana
- Operations Management
- Zapier
- Data Labeling
- Metabase
- AI/ML Lifecycle
Возможные вопросы на собеседовании
Проверка опыта работы с ключевыми инструментами автоматизации, упомянутыми в вакансии.
Расскажите о вашем опыте использования Zapier или аналогичных инструментов для автоматизации операционных процессов. Какой самый сложный воркаут вы создали?
Оценка способности кандидата работать с данными для улучшения бизнес-показателей.
Какие метрики вы считаете наиболее критичными для оценки эффективности воронки онбординга участников в маркетплейсе данных?
Проверка навыков взаимодействия между операционными и продуктовыми командами.
Опишите случай, когда вам удалось успешно перевести ручной процесс в автоматизированное продуктовое решение. С какими трудностями вы столкнулись при взаимодействии с разработчиками?
Важно понять, как кандидат обеспечивает качество в условиях больших объемов данных.
Как бы вы организовали процесс верификации для узкоспециализированных экспертов (например, в медицине или праве) для задач обучения ИИ?
Оценка навыков управления проектами и приоритизации.
Как вы справляетесь с ситуацией, когда требования клиента по поставке данных меняются в середине проекта, а ресурсы участников ограничены?
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