Civil Engineering Technologist, Technician

Job not on LinkedIn

🕒 February 20

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Logo of Weekday (YC W21)

Weekday (YC W21)

11 - 50 employees

Founded 2021

☁ SaaS

🎯 Recruiter

Human Resources ‱ SaaS ‱ Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

‱ Utilize your civil engineering design and technical skills to annotate, review, and validate AI training data. ‱ Collaborate with AI specialists to identify and communicate key civil engineering concepts needed for model development. ‱ Translate complex civil engineering problems and processes into structured data sets for algorithmic use. ‱ Provide expertise on civil drafting, design methodologies, and construction documentation for AI learning. ‱ Review and edit technical materials to ensure clarity, accuracy, and relevance for AI training. ‱ Communicate findings and feedback clearly in both written reports and virtual meetings. ‱ Stay current with industry trends to enhance the effectiveness and relevance of AI model training.

🎯 Requirements

‱ Diploma or degree in Civil Engineering Technology or related discipline. ‱ Proven experience in civil design, drafting, or construction documentation. ‱ Excellent written and verbal communication skills, with a keen attention to detail. ‱ Proficient with industry-standard CAD and civil design software. ‱ Ability to distill complex engineering concepts into clear, accessible information. ‱ Strong organizational and self-management skills, especially in a remote setting. ‱ Commitment to accuracy and high-quality data output. ‱ Preferred Qualifications ‱ Experience collaborating with cross-functional or technical teams. ‱ Familiarity with AI, machine learning, or data annotation projects. ‱ Previous work in remote roles or tech-driven environments.

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