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

$150 per hour

Mercor

Toronto, ON
  • Remote job

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.

Vacancy posted 8 days ago
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