Première détection par notre source: il y a 23 jours
Search Systems Engineer - Expert
@ Mercor
Toronto, Ontario
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-18
- Mise à jour du dossier source
- 2026-10-18
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
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.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2023 |
| Offres sur Jobsy | 1 626 |
| Voir la 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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