生命科学：AI训练师
Life Sciences: AI Trainer
Brunel 与 DataAnnotation 合作，为有经验的生命科学专业人士提供一个创新的 AI 训练项目。这个机会将深厚的科学专业知识与人工智能结合，帮助评估和改进生命科学领域生成的 AI 内容。入选的专家将贡献自己的知识，以开发高质量、科学准确的 AI 系统。
该机会面向在药物发现、计算生物学和生物信息学或实验生物学领域具有深厚技术专长的科学家和研究人员。
参与详情
参与方式
这是一个为期 12 周的 AI 训练冲刺，要求在整个参与期间每周有 30-40+ 小时的真正可用时间。
报酬
75 美元/小时
地点
美国、加拿大、英国和澳大利亚
第一步
付费技能评估：4 小时，固定费用 240 美元，无论耗时长短
资格与要求
- 生物学或相关领域的硕士或博士学历，或正在攻读博士学位的候选人，包括分子或细胞生物学、遗传学、免疫学、神经科学、生物化学、生物信息学或计算生物学。学位必须在美国、加拿大、欧洲、英国或澳大利亚完成。
- 相关子领域 3 年以上实际工作经验。
- 在整个 12 周内每周有 30-40+ 小时的真正可用时间。
- 具备完整的专业级/母语水平的书面和口语英语能力。
- 强大的书面沟通能力，能够在完全远程的环境中独立工作。
- 能够处理模糊性，注重细节。能够快速理解公司数据包（范围从 100MB 到 30GB+），并迅速建立准确且深入的理解，尤其是在科学内容部分或全部超出自身专业领域的情况下。
- 能够解读反馈，判断哪些部分是正确的，并独立应用，而不需要指导。遇到困难时，能主动寻找答案而不是等待他人提供。
- 能够快速掌握不熟悉的工作内容，仅通过书面材料和说明，包括当这些材料不完整时。
- 了解 AI/LLM 工具；用户级别的熟悉程度即可。
- 在生命科学专业工作中具备使用大型语言模型的实际经验，并具备辨别合理答案与看似合理但错误答案的能力。
最初发布于 Himalayas
查看英文原文
Brunel is partnering with DataAnnotation to connect experienced Life Sciences professionals with an innovative AI training program. This opportunity brings together deep scientific expertise and artificial intelligence to help evaluate and improve AI-generated content across the Life Sciences. Selected experts will contribute their knowledge to the development of high-quality, scientifically accurate AI systems.
This opportunity is designed for scientists and researchers with deep technical expertise across drug discovery, computational biology and bioinformatics, or experimental biology.Engagement Details
Engagement
This is a 12-week AI training sprint, requiring genuine availability for 30 – 40+ hours per week throughout the full engagement.Pay rate
75/hr USD
Location
United States, Canada, the UK and, Australia
First step
Paid skills assessment: 4 hours, $240 flat rate regardless of time taken
Qualifications & Requirements
- Master’s or PhD — or a current PhD candidate — in Biology or a directly related field, including molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology. The degree must be completed in the U.S., Canada, Europe, the UK, or Australia.
- 3+ years of hands-on experience in the relevant subfield.
- Genuine availability for 30–40+ hours per week across the full 12 weeks.
- Full professional/native-level written and spoken English.
- Strong written communication skills and comfort working independently in a fully remote environment.
- Comfort with ambiguity and strong attention to detail. Ability to orient within a company data package ranging from 100MB to 30GB+ and quickly build an accurate, deep working picture of it, especially when the science sits partly or wholly outside your own specialization.
- Ability to interpret feedback, judge which parts of it are actually correct, and apply it without hand-holding. When stuck, independently look for the answer rather than waiting for one.
- Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete.
- General familiarity with AI/LLM tools; user-level familiarity is sufficient.
- Hands-on experience using large language models in life sciences professional work, with the judgment to distinguish a well-reasoned answer from a plausible-sounding but incorrect one.
Originally posted on Himalayas