First seen by our source: 20 days ago
Search Systems Engineer - Fully Remote | Upto $150/hr
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Software Engineer for Agentic Search Systems at $80 to $150 per hour. The role builds and optimizes agentic search and retrieval systems, scales data infrastructure, and evaluates AI-generated content for AI research labs. The posting states the work is fully remote and asynchronous.
Pay:
$80–$150 an hour
Responsibilities:
- Évaluer l'exactitude du contenu généré par l'IA dans les systèmes de recherche
- Développer et optimiser les systèmes de recherche agentique
- Faire évoluer l'infrastructure de données pour la recherche
- Collaborer avec les équipes de recherche en IA
Requirements summary:
- Expérience de mise en production de systèmes de recherche
- Responsabilité de la pertinence ou de la récupération
- Capacité à quantifier l'impact des améliorations
- Expérience de création de systèmes de recherche agentique
- Expérience de mise à l'échelle de l'infrastructure de données
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
| 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/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: 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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