AI工程师 — 数据与报告自动化(项目制)
AI Engineer — Data & Reporting Automation (Project Based)
这是一个远程职位。
AI 工程师 — 数据与报告自动化(项目制)
涵盖:AI 账户报告 + AI 内部报告
公司:TeamFicient
地点:远程
雇佣类型:合同 — 项目制,范围固定
薪资:由候选人通过 RFQ 提出(薪资、时间线和预估工时)
工作安排:
- 独立执行整个项目范围
- 仅在需要时与 IT 代理进行接触和管理检查
- 时间线和工时由候选人在 RFQ 中提出
为什么加入我们?
在 TeamFicient,我们的团队来自多个国家和地区,我们通过在 EST、CST 和 PST 时区运营保持联系。
- 无边界工作:每天与全球专家合作,获得国际经验。
- 为远程而生:加入一个完全远程的文化,注重自主性、灵活性和信任。
- 多元视角:成为多元文化团队的一员,不同的背景是我们最大的优势。
- 全球发展:在全球舞台上拓展你的职业生涯,学习不同文化和大陆的商业运作方式。
职位简介
TeamFicient 正在寻找一位 AI 工程师,构建自动化、AI 辅助的报告环境 —— 涵盖账户级和内部/管理层报告 —— 能够整合数据、验证 KPI,并以最少的手动工作生成定期仪表板。这是一个双项目路线,优秀候选人可以同时完成两个项目。这是一项独立、范围固定的外包工作:你将全程负责执行,仅在需要时与 IT 进行接触和管理检查。你需要在过程中提交自己的 RFQ(提出的方案、时间线、工时和成本)。
核心职责
报告与数据整合
- 将多个账户/数据源的数据整合并集中到统一的报告引擎中
- 收集需求并为账户级和内部/管理层报告构建仪表板
- 根据源数据验证 KPI 计算,并为错误数据建立异常/错误处理机制
自动化与 AI
- 自动化数据刷新、定期报告生成和交付排期
- 在适当的地方生成 AI 辅助的摘要和管理层洞察
文档
· 文档记录数据源、刷新逻辑、依赖关系和维护流程
候选人资格
必备条件
- 精通 Google Sheets、Looker Studio 和 Google Workspace 自动化
- 有将 AI/LLM 服务集成到报告或总结流程的经验
查看英文原文
This is a remote position.
AI Engineer — Data & Reporting Automation (Project Based)
Covers: AI Accounts Reporting + AI Internal Report
Company:TeamFicient
Location:Remote
Employment Type:Contract — Project-Based, Fixed-Scope
Rate:Proposed by candidate via RFQ (rate, timeline, and estimated hours)
Work Schedule:
- Self-directed, solo execution of the full project scope
- IT agent touchpoints and management check-ins only as needed to review progress
- Timeline and hours are proposed by the candidate in their RFQ
Why Join Us?
At TeamFicient, our team spans multiple countries and regions, and we stay connected by operating within EST, CST, and PST time zones.
- Work Without Borders: Collaborate daily with experts from worldwide and gain international exposure.
- Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust.
- Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength.
- Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents.
About the Role
TeamFicient is looking for an AI Engineer to build automated, AI-assisted reporting environments — covering account-level and internal/management reporting — that consolidate data, validate KPIs, and produce recurring dashboards with minimal manual work. This is a two-project track, and a strong candidate can run both. This is a solo, fixed-scope engagement: you own execution end to end, with IT touchpoints and management check-ins only as needed. You'll submit your own RFQ (proposed approach, timeline, hours, and cost) as part of the process.
Core Responsibilities
Reporting & Data Integration
- Integrate and consolidate data across multiple account/data sources into a unified reporting engine
- Gather requirements and build dashboards for account-level and internal/management reporting
- Validate KPI calculations against source data and build exception/error handling for bad data
Automation & AI
- Automate data refreshes, recurring report production, and delivery scheduling
- Generate AI-assisted summaries and management insights where appropriate
Documentation
· Document data sources, refresh logic, dependencies, and maintenance procedures
Candidate Qualifications
Must-Haves
- Strong hands-on experience with Google Sheets, Looker Studio, and Google Workspace automation
- Experience integrating an AI/LLM service into a reporting or summarization workflow
- Proven ability to design, validate, and document a KPI/reporting pipeline independently
- Comfortable separating one-time build costs from recurring/usage-based costs (APIs, hosting)
Good to Haves
- Experience with Asana or similar project-data integrations
- Background in BI/dashboard work across multiple accounts or business units
Application Requirements
To apply for this project, please be prepared to submit:
- A portfolio of relevant, comparable work
- An RFQ (Request for Quotation) covering:
- What you propose to do
- How you would do it
- What's included (and what's excluded)
- Estimated timeline and hours
- Total cost, plus any additional/recurring costs
- What you'll need from TeamFicient to execute
- Risks, limitations, and assumptions
- Willingness to sign an NDA and Project Agreement before receiving full project details and credentials
- Willingness to undergo a background check
Work Location: Remote
Originally posted on Himalayas