数据科学家 - AI/ML专家
Data Scientist - AI/ML Expert
关于职位
Mercor将顶尖的创意和技术人才与领先的AI研究实验室联系起来。公司总部位于旧金山，我们的投资者包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：数据科学专家
类型：合同制
薪酬：70–100美元/小时
地点：远程
承诺：每周40小时
岗位职责
- 指导研究和工程团队在数据科学方法、统计推断和建模最佳实践方面的应用。
- 设计具有挑战性的数据科学任务并编写准确、结构良好的分析解决方案。
- 评估AI系统和其他专家产生的数据科学任务和解决方案；提供清晰的书面技术反馈以提高正确性和严谨性。
- 开发指南和评估框架，以评估统计推理、ML流程设计和数据分析方法的质量。
- 与其他领域专家合作，确保训练数据的一致性和准确性。
资格要求
必备条件
- 在数据科学、数据分析、统计建模或应用机器学习领域有3年以上专业或研究经验。
- 能够在合同期内每周工作40小时，工作日进行。
- 具备良好的书面沟通能力，能够清晰解释分析决策和建模选择。
优先考虑
- 具有数据标注、标记、评估或人工反馈收集的经验。
- 具有LLMs、AI系统或代理工作流的经验；熟悉代理框架。
薪酬与法律
· 通过Cincinnatus LLC以W-2形式雇佣。
申请流程（需要20–30分钟完成）
- 上传简历
- 基于简历的AI面试
- 提交表单
资源与支持
- 关于面试流程和平台信息的详细信息，请查看：
- 如有任何帮助或支持，请联系：
备注：我们的团队每天都会审核申请。请完成AI面试和申请步骤，以便获得此机会的考虑。
最初发布于Himalayas
查看英文原文
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: Data Science Experts
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:40 hours/week
Role Responsibilities
- Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
- Design challenging data science tasks and write accurate, well-structured analytical solutions.
- Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
- Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Qualifications
Must-Have
- 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
- Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
- Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.
Preferred
- Prior experience with data annotation, labeling, evaluation, or human feedback collection.
- Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.
Compensation & Legal
· W-2 employment with Cincinnatus LLC.
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