Задачи чётко связаны с созданием и проверкой заданий по Data Science для coding agents, но неизвестный работодатель и неуказанные условия выплат оставляют практическую неопределённость.
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Условия выплат неясныПонятные задачиРабота с AIСовременный стек
Оценка от Hirify AI
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Описание вакансии
TL;DR
Competitive Data Scientist (AI): Creating rigorous data science challenges for coding agents with an accent on reproducible environments, verified solutions, and reliable success checks. Focus on running coding agents, investigating failures, and refining tasks to distinguish correct solutions from flawed approaches.
🚀 WE’RE HIRING: Competitive Data Scientist
Turn your competition experience into rigorous challenges for coding agents.
Apply your mathematical reasoning, programming skills, and competitive data science experience to create tasks with reproducible environments, verified solutions, and reliable success checks.
📍 Role details
• 🌍 Global | Fully remote
• Contract type: Contractor
• Compensation: $60–$120/hour
• Commitment: Approximately 15 hours per week
• Flexible schedule: Choose your hours and days, including weekends
• Payment terms: Not specified
💡 The opportunity
• Draw on competition experience to build tasks that demand correct, verifiable solutions.
• Use observed coding-agent behavior to refine challenges and strengthen evaluation quality.
💻 What you’ll do
• Build reproducible environments, prepare data and dependencies, and implement reference solutions.
• Develop tests and evaluation criteria that distinguish correct solutions from incomplete or flawed approaches.
• Run coding agents, investigate failures, and refine tasks.
• Identify implementation errors, flawed assumptions, data leakage, and other correctness issues.
• Document requirements, solution reasoning, and verification steps clearly.
🎯 What you’ll bring
• Demonstrated experience in data science, machine learning, quantitative modeling, or relevant research competitions.
• Strong problem-solving skills and a clear understanding of your methods.
• Practical programming ability to implement and verify your own solutions.
• Relevant platforms: Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench.
• Strong Python coding, testing, debugging, and unfamiliar-code experience is a major plus.
Bring your competitive mindset to challenges where correctness counts.
Application link: [Показать контакты]
#DataScience #MachineLearning #Python #Kaggle #RemoteJobs
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