机械工程技术人员
Mechanical Engineering Technician
职位名称：机械工程技术人员
职位类型：承包商
工作地点：远程
micro1 正在招募机械工程技术人员，参与客户的一项涉及开发先进 AI 基准的项目。在此职位中，您将运用专业知识帮助训练下一代 AI 系统。您的工作将通过高质量的真实输入，塑造模型的学习、推理和表现方式。无需 AI 领域的先前经验——您的专业领域知识才是关键。
工作范围
- 设计并编写真实的技师工作流程任务，反映现实中的挑战，包括测试设置、仪器使用、数据收集和故障诊断。
- 获取、综合并构建技术数据集（如测试日志、校准记录、传感器输出和故障报告），这些数据来源于实际实验室或生产场景。
- 定义准确的解决方案路径，包括测试数据的解读和有依据的下一步建议。
- 开发严格的评分标准（35 项以上），用于评估仪器逻辑、数据解读和故障分析方面的技术技能，适用于 AI 和领域专家。
- 以高精度和清晰度记录详细的技术流程、观察结果和诊断发现。
- 确保所有评估任务符合专业实践的复杂性和真实性标准，超越简化的教科书示例。
优先资格
- 在机械工程领域，至少 4 年在实验室、测试或生产环境中的实际工作经验。
- 机械工程或相关领域的副学士学位或认可的职业资格证书。
- 在仪器、传感器、数据采集系统和原型测试流程方面有丰富经验。
- 具备深入的技术文档编写能力，包括测试流程、结果和故障模式。
- 强大的分析能力，能够解读复杂数据集并诊断设备或流程故障。
- 熟悉技术文档格式，如 CSV 文件、电子表格、PDF 文件和其他相关文件。
- 能够独立工作，为远程项目做出贡献，并确保交付成果符合高标准技术要求。
薪酬结构
薪酬基于产出；专家根据符合项目规范的任务获得报酬。完成工作所需时间可能因专家的经验和工作流程而异。最低提交要求未完待续
查看英文原文
Role Title: Mechanical Engineering Technician
Role Type: Contractor
Location: Remote
micro1 is engaging Mechanical Engineering Technicians to contribute to a customer's project involving the development of advanced AI benchmarks. 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
- Design and author authentic technician workflow tasks that reflect real-world challenges, including test setup, instrumentation, data collection, and failure diagnosis.
- Source, synthesize, and construct technical datasets (such as test logs, calibration records, sensor outputs, and failure reports) derived from actual lab or production scenarios.
- Define accurate solution pathways, including the interpretation of test data and informed next-step recommendations.
- Develop rigorous, 35+ item grading rubrics to evaluate technical skills in instrumentation logic, data interpretation, and failure analysis, usable by AI and domain experts alike.
- Document detailed technical procedures, observations, and diagnostic findings with high precision and clarity.
- Ensure all evaluation tasks meet the complexity and realism standards representative of professional practice, surpassing simplified textbook examples.
Preferred Qualifications
- Minimum 4 years of hands-on experience in lab, test, or production environments within mechanical engineering technology.
- Associate degree or recognized trade credential in mechanical engineering technology or related discipline.
- Extensive experience with instrumentation, sensors, data acquisition systems, and prototype testing workflows.
- Demonstrated ability to perform in-depth technical documentation of test procedures, outcomes, and failure modes.
- Strong analytical skills for interpreting complex datasets and diagnosing equipment or process failures.
- Familiarity with technical documentation formats, such as CSVs, spreadsheets, PDFs, and other relevant files.
- Comfort working independently, contributing to remote projects, and aligning deliverables with high technical standards.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Originally posted on Himalayas