First seen by our source: 20 days ago
Search Systems Engineer - Expert
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Software Engineer for agentic search systems, paid $80–$150 per task. The work involves evaluating AI-generated content in search, developing agentic search systems, and scaling data infrastructure for retrieval, working with AI research teams. Candidates need proven production search experience and the ability to quantify impact.
Responsibilities:
- Evaluate accuracy and depth of AI-generated content in search systems
- Develop and optimize agentic search systems
- Scale data infrastructure for search and retrieval
- Collaborate with AI research teams to quantify improvements
- Work independently and asynchronously to meet deadlines
Requirements summary:
- Experience shipping production search systems
- Ownership of relevance or retrieval for real users
- Ability to quantify impact and improvements in search systems
- Experience building agentic search systems
- Experience scaling data infrastructure for search
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-18
- Source record updated
- 2026-10-18
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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