Search Systems Engineer - Fully Remote | Upto $150/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Software Engineer — Agentic Search Systems Type: Contract Compensation: $80–$150/hour Location: Remote Role Responsibilities - Evaluate the accuracy and depth of AI-generated content in search systems to strengthen reasoning and rigor in model outputs . - Develop and optimize systems related to agentic search for improved performance and reliability. - Scale data infrastructure to support modern search systems and enhance retrieval capabilities. - Collaborate with AI research teams to quantify impact and improvements in search systems. - Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications Must-Have - Experience shipping production search systems. - Ownership of relevance or retrieval on systems used by real users. - Ability to quantify impact and improvements in search systems. - Experience building systems related to agentic search . - Experience scaling data infrastructure for search systems. Interview Process - 25 mins conversational interview. No coding, no take-home. - Follow-up with a paid 30-minute live conversation if interview stands out; $200 for your time. Application Process (Takes 20–30 mins to complete) - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: - For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas