远程工作雷达

机器学习工程师专员 – AI训练师

ML Engineer Specialist – AI Trainer

AI开发工程限定地区(需当地身份)
公司Invisible Technologies
薪资$30 - $50
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Contractor
发布时间今天
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

你喜欢Kaggle风格的问题解决,不断迭代模型,测试想法并推动性能提升吗?现在想象一下,将这些作为有偿工作,你的解决方案直接强化世界上最先进的AI系统。

大规模语言模型正在演变为发现、教育和工程的引擎。为了实现这一目标,它们需要更精确的推理能力和更好的数据集。作为一名机器学习专家,你将面对具有研究竞赛性质的动手ML挑战,但你的工作将直接影响下一代AI的发展。

你将做什么

在典型的一天中,你将:

  • 解决应用型ML任务:对测试并改进模型推理的问题进行迭代,从基础解决方案到优化的工作流程。
  • 评估科学写作:使用评审标准(例如NeurIPS指南)比较研究摘要和引言,评估其清晰度、正确性和影响力。
  • 调试高级模型行为:对LLM进行优化、公平性、正则化、transformers和应用NLP方面的探究,记录失败模式。
  • 设计新的基准任务:识别数据集,分析最先进论文,构建评估脚本,并提供参考实现。
  • 改进训练数据集:提供结构化反馈,使AI输出更加准确、可靠和有用。

你需要带来什么

  • 机器学习、NLP或数据科学领域的扎实背景。
  • 具备监督/非监督学习、深度学习、强化学习、概率建模和应用NLP的经验。
  • 熟练使用Python、ML框架和基于云的工作流程。
  • 计算机科学/机器学习/数据科学硕士或博士优先;有同行评审的研究或生产级ML系统经验是加分项。
  • 清晰的沟通能力,能够解释推理过程并“展示你的工作”。

为什么加入我们

  • 将你的ML问题解决能力转化为实际影响:你的工作将训练和增强前沿AI。
  • 参与创新的AI训练计划:评估模型,塑造数据集,设计研究前沿的挑战。
  • 享受灵活性:远程、合同制工作,自主安排时间。

准备好将你的机器学习专长转化为未来AI的知识库了吗?立即申请,开始教授将教导世界的模型。我们提供每小时30至50美元的薪资范围,具体金额将在评估你的经验、专业技能和地理位置后确定。

最终的薪资可能与上述薪资范围有所不同。作为承包商,你

查看英文原文

Do you enjoy Kaggle-style problem solving, iterating on models, testing ideas, and driving performance gains? Now imagine doing that as paid work, where your solutions directly strengthen the world’s most advanced AI systems.
Large-scale language models are evolving into engines of discovery, education, and engineering. To get there, they need sharper reasoning and better datasets. As a Machine Learning Specialist, you will take on hands-on ML challenges that feel like research competitions, but with direct impact on next-generation AI.
What You’ll DoOn a typical day, you will:

  • Solve applied ML tasks: iterating on problems that test and improve model reasoning, from baseline solutions to optimized workflows.
  • Evaluate scientific writing: compare research abstracts and introductions using review rubrics (e.g., NeurIPS guidelines) for clarity, correctness, and impact.
  • Debug advanced model behavior: probe LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modes.
  • Design new benchmark tasks: identify datasets, analyze state-of-the-art papers, build evaluation scripts, and provide reference implementations.
  • Improve training datasets: deliver structured feedback that makes AI outputs more accurate, reliable, and useful.

What you’ll Bring

  • Strong background in machine learning, NLP, or data science.
  • Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP.
  • Proficiency in Python, ML frameworks, and cloud-based workflows.
  • Master’s or PhD in CS/ML/data science preferred; peer-reviewed research or production ML systems a strong plus.
  • Clear communication skills, able to explain reasoning and “show your work.”

Why Join

  • Turn your ML problem-solving into real-world impact: your work trains and strengthens cutting-edge AI.
  • Be part of novel AI training initiatives: evaluating models, shaping datasets, and designing challenges at the research frontier.
  • Enjoy flexibility: remote, contract-based work with autonomy to set your schedule.

Ready to turn your machine learning expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $30-$50 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location.

Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Job title: ML Engineer Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid-Senior Level
Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

该公司其他在招职位

← 返回全部职位