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AI Training - Machine Learning Specialist (PST)
Отличное предложение для фриланса с очень высокой почасовой оплатой ($150/час) и гибким графиком. Идеально подходит для экспертов в ML, желающих подработать удаленно.
Сложность вакансии
Сложность заключается не в процессе найма, а в необходимости пройти квалификационный тест и обладать глубокими знаниями в ML для качественного выполнения задач. Работа требует высокой концентрации и способности проводить глубокий технический аудит ответов ИИ.
Анализ зарплаты
Указанная ставка в $150 в час значительно превышает средние рыночные показатели для разметки данных, так как требует узкоспециализированных знаний в области Machine Learning. Это соответствует уровню оплаты высококвалифицированных консультантов.
Сопроводительное письмо
I am writing to express my interest in the AI Trainer – Machine Learning Specialist role at Prolific. With a strong background in machine learning engineering and data science, I am eager to contribute my technical expertise to the development and refinement of cutting-edge AI models. I have extensive experience in model evaluation, debugging complex ML pipelines, and providing structured technical feedback, which aligns perfectly with the responsibilities of this position.
I am particularly drawn to Prolific's mission of building a high-quality, ethically sourced human data infrastructure. My professional experience has taught me that the nuance of human feedback is often the deciding factor in model performance and alignment. I am prepared to complete the skills verification test and look forward to the opportunity to provide high-quality annotations and critiques that will help shape the next generation of AI.
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Откликнитесь в prolific уже сейчас
Присоединяйтесь к Prolific сегодня, чтобы монетизировать свой опыт в машинном обучении и обучать ИИ-модели будущего на гибких условиях!
Описание вакансии
AI Trainer – Machine Learning Specialists
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 AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. 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 participant, where you’ll get paid to train and evaluate powerful AI models.
Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
What you’ll bring
- AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
- A willingness to take our skills verification test to assess your suitability for our 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 willingness to self-declare your earnings, as our participants are self-employed
- A Paypal account to receive payment from our clients
What you’ll be doing in the role
- Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
- Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
- Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
Key Technologies
- General AI Training
- Model Evaluation and Evals
- Trust and Safety
- Red Teaming
- Quality Analytics
- Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
Why Prolific is a great platform to join as a Participant
Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. 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 breath and the best of humanity.
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 personal information.
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Навыки
- Machine Learning
- Data Science
- Deep Learning
- Natural Language Processing
- Computer Vision
- Statistics
- Python
- Model Evaluation
- Red Teaming
Возможные вопросы на собеседовании
Проверка фундаментальных знаний, необходимых для оценки ответов ИИ.
Как бы вы объяснили разницу между переобучением (overfitting) и недообучением (underfitting) на примере конкретной модели?
Роль предполагает оценку качества данных и логики ИИ.
Опишите ваш подход к поиску утечки данных (data leakage) в новом наборе данных для обучения.
Важно понимать, как кандидат будет проверять точность ИИ.
Какие метрики вы бы использовали для оценки качества генеративной модели, работающей с кодом на Python?
Проверка навыков критического мышления и аргументации.
Если ИИ выдает технически верный, но небезопасный или неоптимальный ответ, как вы структурируете свою критику?
Работа требует усидчивости и внимания к деталям.
Расскажите о случае, когда ваша внимательность к деталям помогла обнаружить критическую ошибку в архитектуре модели или данных.
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