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

Mercor

San Francisco (CA)

Hybrid

GBP 83,000 - 156,000

Full time

4 days ago
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Job summary

Mercor is seeking a Software Engineer to develop and optimize agentic search systems for production environments. You will own relevance and retrieval, and work to ensure results meet user needs.

This contract role is remote and paid on completion per task, with a conversational interview and a paid follow-up for standout candidates.

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.

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
production search systems
relevance/ retrieval ownership
quantify impact
data infrastructure
independent work

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 per task
Location: Remote


Role 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

Must-Have


  • 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.


Resources & Support


  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

  • For any help or support, reach out to: support@mercor.com

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