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AI Trainer - Computer Scientist (CAN)
Отличная возможность для гибкого заработка для специалистов по Computer Science. Высокая почасовая ставка и работа с передовыми лабораториями ИИ делают вакансию привлекательной, несмотря на фриланс-статус.
Сложность вакансии
Основная сложность заключается в прохождении проверочного теста на знание Computer Science. Сама работа носит проектный характер и требует высокой концентрации, но не подразумевает долгосрочных обязательств.
Анализ зарплаты
Указанная ставка до £50 в час является очень конкурентоспособной для рынка разметки данных и обучения ИИ, превышая средние показатели для подобных ролей. Однако стоит учитывать, что это фриланс без гарантированного объема часов.
Сопроводительное письмо
I am writing to express my interest in the AI Trainer - Computer Scientist position at Prolific. With a strong background in Computer Science and a deep understanding of algorithms, data structures, and software engineering principles, I am confident in my ability to provide the high-quality human feedback necessary to refine and align cutting-edge AI models.
I am particularly drawn to Prolific's commitment to ethically sourced data and the integration of diverse human perspectives into AI development. My experience in analyzing complex technical content and my attention to detail make me well-suited for tasks involving the evaluation of AI performance on programming and systems prompts. I look forward to the opportunity to contribute to the next wave of AI innovation through your platform.
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Откликнитесь в prolific уже сейчас
Присоединяйтесь к Prolific и начните обучать передовые ИИ-модели, используя свои знания в Computer Science с оплатой до £50 в час!
Описание вакансии
AI Trainer – Computer Scientist
*About Prolific*
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.
Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
*The role*
We’re looking for people with Computer Science expertise to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world’s biggest AI labs. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a Domain Expert participant, where you’ll get paid to train and evaluate powerful AI models.
Researchers looking for your skills tend to pay up to £50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
*What you’ll be doing in the role*
Completing AI training tasks such as analyzing, editing, and writing computer science–related content
Judging the performance of AI on programming, algorithms, data structures, and systems prompts
Improving cutting-edge AI models using your understanding of software engineering and computational thinking
*What you’ll bring*
Background in Computer Science and ideally a degree in Computer Science or a closely related field
Strong understanding of programming concepts, algorithms, and software systems
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
A reliable and fast internet connection and access to a computer
A Paypal account to receive payment from our clients\*
*Why Prolific is a great platform to join as a Domain Expert participant*
Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
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 behavioural 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 behaviours 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.
\*Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.
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 Noticeexplains 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
- Computer Science
- Algorithms
- Data Structures
- Software Engineering
- Python
- Programming
Возможные вопросы на собеседовании
Проверка фундаментальных знаний, необходимых для оценки ответов ИИ.
Можете ли вы объяснить разницу в производительности между различными алгоритмами сортировки и когда какой использовать?
Оценка способности кандидата находить ошибки в коде, сгенерированном моделью.
Как бы вы подошли к проверке корректности и безопасности фрагмента кода на Python, написанного ИИ?
Работа требует усидчивости и внимания к деталям.
Опишите ваш опыт работы над сложными техническими задачами, требующими длительной концентрации.
Важно понимать, как именно человек будет улучшать ответы модели.
Какими критериями вы будете руководствоваться при редактировании технического контента, созданного ИИ?
Проверка понимания архитектурных принципов.
Как вы оцениваете качество ответов ИИ на вопросы, связанные с системным проектированием (System Design)?
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