Search Systems Engineer - Expert - AI Trainer
$80 - $150 per unitMercor
Job Description
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
- 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: View email address on us.fitly.work
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#hiringmercorVacancy posted 9 days ago
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