Première détection par notre source: il y a 23 jours
Network Operations Center Engineer | Upto $70/hr
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract Network Engineer for data annotation on autonomous systems, at $50–$70/hour for 30–40 hours per week. The work is reviewing deployed-network logs, configs, telemetry and event streams, labelling anomalies, and helping define data pipeline schemas for AI training. Candidates need enterprise network experience and comfort with logs and time-series metrics.
Salaire :
50 $–70 $ de l’heure
Responsabilités :
- Review logs, configs, telemetry and event streams from deployed networks
- Label and classify behaviours, issues and anomalies in network data
- Help define schemas and structure for large-scale data pipelines
- Work with the client team to ensure data quality and relevance
Résumé des exigences :
- Experience as a network engineer, ideally with enterprise networks
- Switches, access points and firewalls experience
- Comfort interpreting logs, events and time-series metrics
- Curiosity about how infrastructure data becomes ML input
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 | Intermédiaire |
| Domaine | TI |
| Heures par semaine | 35 |
| 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: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week
Role Responsibilities
- Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
- Label and classify key behaviors, issues, and anomalies in network data.
- Help define schemas and structure for large-scale data pipelines.
- Interface directly with the client team to ensure data quality and relevance.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications
Must-Have
- Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
- Comfort with interpreting logs, events, and time-series metrics.
- Curiosity about how raw infrastructure data becomes machine learning input.
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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