机器学习工程师：强化学习场景构建
Machine Learning Engineers: Scenario Building for Reinforcement Learning
WHAT WE'RE RESEARCHING
我们正在招聘AI研究人员和机器学习工程师，参与在强化学习平台中构建世界。这项工作直接影响代理在训练周期中与复杂模拟环境的交互方式。你的技术专长将帮助我们优化用于创建稳健测试场景的工具和界面。
HOW IT WORKS
你将连接到我们的远程平台，为强化学习代理设计和构建特定场景。在整个过程中，你将配置环境参数、定义空间约束，并运行初步的代理交互以测试你的设置。你将记录你的工作流程，并注明在构建环境时遇到的任何摩擦点。最后，你将参加一次访谈，分享你对平台整体可用性的反馈。
WHO THIS IS FOR
本研究面向在仿真设计和强化学习环境中具有实际经验的专业人士。我们欢迎熟悉RL框架的机器学习工程师、AI研究人员、仿真开发者和技术游戏设计师。候选人应高度熟悉配置复杂的平台界面并定义结构化的代理场景。
WHAT YOU'LL DO
- 在远程强化学习平台上设计和构建特定场景
- 配置环境参数并定义代理交互规则
- 测试初始代理行为以验证你的场景结构
- 向我们展示你的工作流程并突出平台改进的领域
WHO SHOULD APPLY
- 机器学习或人工智能研究领域的专业经验
- 在构建仿真或强化学习环境方面有实际背景
- 熟悉配置平台界面和定义奖励结构
- 在远程访谈中能够清晰表达技术反馈
COMPENSATION
每小时90美元
READY TO PARTICIPATE?
立即开始你的付费面试 https://terac.com/interview/start/r/8b2a6e81-53d0-408e-b498-8fc46a15fdee?utm_source=ashby_listing_description
ABOUT TERAC
Terac正在打造全球最大的经过验证的人类专家池，用于AI。研究人员、AI实验室和产品团队使用Terac在各个行业、语言和技能水平中招募、筛选和支付研究参与者。
了解更多请访问 terac.com https://terac.com 或在YouTube上关注 @jointerac https://www.youtube.com/@jointe
查看英文原文
WHAT WE'RE RESEARCHING
We're hiring AI researchers and machine learning engineers to participate in building worlds within a reinforcement learning platform. This work directly influences how agents interact with complex, simulated environments during their training cycles. Your technical expertise will help us refine the tools and interfaces used to create robust testing scenarios.
HOW IT WORKS
You will connect to our remote platform to design and construct specific scenarios for reinforcement learning agents. Throughout the session, you will configure environmental parameters, define spatial constraints, and run preliminary agent interactions to test your setup. You will document your workflow and note any friction points encountered while structuring the environment. Finally, you will participate in an interview to share your feedback on the platform's overall usability.
WHO THIS IS FOR
This study targets professionals with hands-on experience in simulation design and reinforcement learning environments. We welcome machine learning engineers, AI researchers, simulation developers, and technical game designers accustomed to RL frameworks. Candidates should be highly comfortable configuring complex platform interfaces and defining structured agent scenarios.
WHAT YOU'LL DO
- Design and build specific scenarios within a remote reinforcement learning platform
- Configure environmental parameters and define agent interaction rules
- Test initial agent behaviors to validate your scenario structure
- Walk us through your workflow and highlight areas for platform improvement
WHO SHOULD APPLY
- Professional experience in machine learning or artificial intelligence research
- Hands-on background in building simulations or reinforcement learning environments
- Familiarity with configuring platform interfaces and defining reward structures
- Comfortable articulating technical feedback during a remote interview
COMPENSATION
$90 per hour
READY TO PARTICIPATE?
Start your paid interview now https://terac.com/interview/start/r/8b2a6e81-53d0-408e-b498-8fc46a15fdee?utm_source=ashby_listing_description
ABOUT TERAC
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com https://terac.com or on YouTube at @jointerac https://www.youtube.com/@jointerac.