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Première détection par notre source: il y a 24 jours

Search Systems Engineer - Expert

@ Mercor

Toronto, Ontario

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En bref

Mercor is hiring a contract Software Engineer for Agentic Search Systems, remote, paid $80–$150 per task. The work is developing and optimizing agentic search systems in production, owning relevance and retrieval, and quantifying system impact. The posting states an AI interview and a 25-minute conversational interview, with a paid follow-up call for standout candidates.

Responsabilités :

  • Develop and optimize agentic search systems for production
  • Own relevance and retrieval processes
  • Quantify impact and improvements of search systems
  • Build and scale data infrastructure for search
  • Work independently and asynchronously on search quality and evaluation

Résumé des exigences :

  • 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

Outils et compétences

Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-17
Mise à jour du dossier source
2026-10-17

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

DomaineDéveloppement logiciel
Déplacementsavion : aucun · route : aucun
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Mercor

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

We connect human expertise with leading AI labs and enterprises to train frontier models.

Description complète de l’entreprise

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

Abonnés LinkedIn
654 507
Personnes associées sur LinkedIn
5 250
Bureaux déclarés
  • San Francisco, California 94105, US
Catégories d’activité
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Autres noms enregistrés
  • Mercor
Le profil indique une agence de recrutement
Oui
Investissement total déclaré
483 600 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

ChampValeur
SecteurSoftware Development
Taille51-200 employees
Siège socialSan Francisco, California
Type d’organisationPrivately Held
Fondée en2023
Offres sur Jobsy1 626
LinkedInVoir la page
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.

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.

Emplois semblables

  • Search Systems Engineer - Expert

    Toronto, ON

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    Candidates need experience shipping production search systems, ownership of relevance or retrieval for real users, and experience building agentic search systems and scaling search data infrastructure. They must also measure impact clearly.

    Research, Work independently, Meet deadlines

    Search Systems Engineer - Fully Remote | Upto $150/hr

    Toronto, ON
    80–150 $/h

    Mercor

    Candidates need experience shipping production search systems, owning relevance or retrieval for real users, and building agentic search. They must also have scaled data infrastructure and be able to quantify search improvements.

    Research, Work independently, Meet deadlines

    Search Systems Engineer - Fully Remote

    Toronto, ON

    Mercor

    Candidates need experience shipping production search systems and owning relevance or retrieval for real users. They also need to quantify search improvements, build agentic search systems, and scale search data infrastructure.

    Research, Work independently, Meet deadlines

    Search Systems Engineer - Expert

    Toronto, ON
    80–150 $/h

    Mercor

    Candidates need experience with production search systems and agentic search, a proven record owning relevance or retrieval on user-facing systems, and strong skills in measuring system impact and improvements.

    Research, Work independently

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