领域专家-数据与统计图表分析
Subject Matter Expert – Data & Statistical Chart Analysis
职位名称：数据与统计图表分析专家
职位类型：合同工
工作地点：远程
micro1 正在寻找数据与统计图表分析（AI基准）领域的专家，为客户提供项目贡献专业知识，推动下一代人工智能系统的功能提升。在此职位中，您将运用专业知识帮助训练下一代人工智能系统。您的工作将影响模型的学习、推理和表现方式，通过高质量的真实输入数据。无需人工智能领域经验——您的专业领域知识才是关键。
工作范围
- 解读复杂的数据科学和统计可视化内容——如桑基图、热力图、校准曲线、残差图、相关矩阵和分布图——运用高级的专业判断和术语。
- 根据具有挑战性的可视化内容设计清晰、客观的多步骤分析任务和问题，强调超越表面图表阅读的定量推理。
- 提供精确、无歧义的答案，并附上详细的分步书面解释，包括必要的明确计算、统计推断或建模逻辑。
- 使用精确的数据科学和统计语言，确保在所有输出中准确引用单位、比例、坐标轴、图例和注释。
- 创建需要图形推理、趋势分析、比较、插值和统计推断的任务，始终避免模糊或主观的提示。
- 参与远程协作，通过书面和口头渠道进行贡献，接受反馈，并与项目相关方保持持续沟通。
- 持续产出可客观验证的任务和解决方案，以支持先进人工智能模型的严格训练和评估。
优先资格
- 数据科学、统计学、应用数学、计算机科学、运筹学或相关量化领域的学士学位或同等专业经验。
- 至少两年在统计模型、数据可视化或分析报告方面的专业、学术或研究背景。
- 在多种图表类型中，能够熟练解读坐标轴、图例、单位、比例、置信区间和统计注释。
- 能够用高质量的书面和口语英语清晰表达分析过程和定量推理。
- 英语和另一种语言的双语能力
查看英文原文
Role Title: Subject Matter Expert – Data & Statistical Chart Analysis
Role Type: Contractor
Location: Remote
micro1 is engaging Subject Matter Experts – Data & Statistical Chart Analysis (AI Benchmark) to contribute expertise on a customer project advancing the capabilities of next-generation AI systems. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Interpret complex data science and statistical visualizations—such as Sankey diagrams, heatmaps, calibration curves, residual plots, correlation matrices, and distribution plots—applying advanced professional judgement and terminology.
- Design clear, objective, multi-step analytical tasks and questions based on challenging visualizations, emphasizing quantitative reasoning beyond surface-level chart reading.
- Deliver precise, unambiguous answers with thorough, step-by-step written explanations, including explicit calculations, statistical inferences, or modeling logic as required.
- Utilize exact data science and statistical language, ensuring accuracy in referencing units, scales, axes, legends, and annotations in all outputs.
- Create tasks that require graphical reasoning, trend analysis, comparison, interpolation, and statistical inference, always avoiding ambiguous or subjective prompts.
- Participate in remote collaboration, contributing via written and verbal channels, incorporating feedback, and maintaining consistent communication with project stakeholders.
- Consistently produce objectively verifiable tasks and solutions to support the rigorous training and evaluation of advanced AI models.
Preferred Qualifications
- Bachelor's degree or equivalent professional experience in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, or a related quantitative field.
- Minimum of two years’ professional, academic, or research background engaging with statistical models, data visualizations, or analytical reporting.
- Advanced proficiency in interpreting axes, legends, units, scales, confidence intervals, and statistical annotations across diverse chart types.
- Demonstrated ability to clearly articulate analytical processes and quantitative reasoning in high-quality written and verbal English.
- Bilingual proficiency in English and, ideally, a second language relevant to your domain.
- Experience with technical documentation, publication, assessment design, or structured analytical task development.
- Background in producing data-annotation tasks, benchmark questions, technical reports, or related materials for data science, statistics, or AI-driven projects.
Originally posted on Himalayas