AI Researcher - Fully Remote | Upto $100/hr
关于工作的职位，默科尔将精英创意和技术人才与领先的人工智能研究实验室联系起来。总部位于旧金山，我们的投资者包括 Benchmark,General Catalyst,Peter Thiel,Adam D'Angelo,Larry Summers 和 Jack Dorsey.职位：ML Research 博士专家 （ICML / NeurIPS / ICLR 出版物）类型：合同补偿：$60$100/小时位置：远程角色责任 ·评估人工智能生成内容的准确性和深度以加强推理和模型输出严格性。·审查复杂机器学习研究以符合领域原则和方法。· 提供明确，结构化反给人工智能研究团队以提高训练数据质量和下游性能。· 为评估人工智能生成的任务和解决方案制定评价条目和基准。· 与专家合作确保数据集中的一致性，相关性和覆盖率。· 在改善人工智能模型绩效时独立且异步地工作。资格必须有·在机器学习，计算机科学，人工智能或紧密相关领域获得博士学位。· 在 ICML,NeurIPS 或 ICLR 发表至少一个主要会议论文。·强烈偏好这些场所拥有2+出版物的候选人。· 经验证明进行原始的 ML 研究。优先 • 强化学习 (RL) 的专业知识 · 了解 Meta-Learning. · 经历复制自我改善。· 对 AI 科学感兴趣 （例如天气预测，蛋白质建模，科学发现）. 开始日期 · 急需；申请定期审查。申请过程 （需要20~30分钟才能完成）· 上传简历 ·基于简历的 AI 面试 · 提交表格资源和支持 · 请查看有关面试进程和平台信息的详情：· 任何帮助或支持，请联系 PS:我们的团队每天评估应用程序。你可以完成 AI 面试和申请步骤，以便考虑这个机会。
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About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)
Type:Contract
Compensation:$60–$100/hour
Location:Remote
Role Responsibilities
- Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
- Review complex machine learning research for alignment with domain principles and methodologies.
- Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
- Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
- Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
- PhD in Machine Learning, Computer Science, AI, or a closely related field.
- Published at least one main conference paper at ICML, NeurIPS, or ICLR.
- Strong preference for candidates with 2+ publications at these venues.
- Demonstrated experience conducting original ML research.
Preferred
- Expertise in Reinforcement Learning (RL).
- Knowledge of Meta-Learning.
- Experience with Recursive Self-Improvement.
- Interest in AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).
Start Date
· Urgent; applications reviewed on a rolling basis.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas