
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.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• Review and analyze engineering documentation, including technical reports, design documents, specifications, and project analyses. • Evaluate engineering submissions for technical accuracy, completeness, clarity, and adherence to industry best practices. • Provide detailed technical feedback, clarifications, and expert recommendations on complex engineering scenarios. • Develop real-world engineering examples, case studies, and problem sets across various engineering disciplines. • Create structured technical explanations to help improve AI understanding of practical engineering concepts. • Ensure all technical content is accurate, well-organized, and aligned with engineering principles. • Assess AI-generated engineering responses for correctness, logical reasoning, and technical rigor. • Identify errors, inconsistencies, or gaps in engineering outputs and provide actionable feedback to improve model performance. • Contribute to the development of high-quality engineering datasets for AI training and evaluation. • Work closely with project teams to ensure deliverables align with project milestones and quality standards. • Share industry best practices and technical insights to enhance project methodologies. • Collaborate effectively in a remote environment while maintaining high-quality documentation and deliverables.
• Bachelor's, Master's, or PhD in Mechanical, Civil, Electrical, Chemical, Industrial, Aerospace, Electronics, Manufacturing, or any other Engineering discipline. • Experience preparing technical reports, engineering documentation, design specifications, or project analyses. • Strong analytical and problem-solving skills with attention to technical detail. • Excellent written and verbal communication skills with the ability to explain complex engineering concepts clearly. • Ability to work independently and manage deliverables in a remote work environment. • Experience working on multidisciplinary or cross-functional engineering projects. • Ability to communicate technical concepts effectively to both technical and non-technical audiences. • Familiarity with engineering standards, regulatory compliance, quality assurance, or industry best practices. • Experience reviewing engineering documentation or providing technical guidance. • Passion for innovation, technology, and engineering education.
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