Search Optimization Specialist - Fully Remote | Upto $150/task Task based

mercor

United States

Remote

USD 110,000 - 207,000

Part time

14 days+

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Job summary

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, the company partners with top investors and labs worldwide.

The Software Engineer — Agentic Search Systems role is remote and contract-based. You will own relevance and retrieval, optimize production search systems, and build scalable data infrastructure while evaluating impact and improvements.

Qualifications

  • Experience with production search systems and agentic search.
  • Ability to own relevance or retrieval on user-dependent systems.
  • Skills in quantifying system impact and improvements.

Responsibilities

  • Develop and optimize agentic search systems for production environments.
  • Own relevance and retrieval processes to ensure systems meet user needs.
  • Quantify the impact and improvements of search systems effectively.
  • Build and scale data infrastructure to support modern search capabilities.
  • Work independently and asynchronously to enhance search quality and evaluation.

Skills

Agentic search
Relevance ownership
Quantify impact

Job description

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

Responsibilities
  • Develop and optimize agentic search systems for production environments.
  • Own relevance and retrieval processes to ensure systems meet user needs.
  • Quantify the impact and improvements of search systems effectively.
  • Build and scale data infrastructure to support modern search capabilities.
  • Work independently and asynchronously to enhance search quality and evaluation.
Qualifications
  • Experience with production search systems and agentic search.
  • Proven ability to own relevance or retrieval on user-dependent systems.
  • Strong skills in quantifying system impact and improvements.
Interview Process
  • 25 mins conversational interview. No coding or take-home tasks.
  • Follow‑up 30 mins paid live conversation with the team for standout interviews.
Compensation & Legal

Paid on completion of the follow‑up call.

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