Postuler

Première détection par notre source: il y a 23 jours

Computational Seismology Expert - PhD

@ Mercor

Toronto, Ontario

70–85 $/h
Postuler
SIGNAUX

En bref

Mercor is hiring a remote contract Computational Seismology & Geophysics Expert at $70–$85/hour for 15–20 hours per week. The work involves designing computational problems that test AI capabilities on seismology tasks, using tools such as SPECFEM, ObsPy and Pyrocko.

Salaire :

70 $–85 $ de l’heure

Responsabilités :

  • Design computational problems to evaluate AI scientific capabilities
  • Develop problems using SPECFEM, ObsPy and Pyrocko
  • Test and refine problems against state-of-the-art AI models
  • Collaborate on AI model training and evaluation
  • Refine problem designs independently and asynchronously

Résumé des exigences :

  • Graduate-level training in a relevant STEM field
  • Proven proficiency with a scientific software library
  • Strong Python skills for problem setups and validators
  • Ability to work independently in Linux/terminal
  • Available 15–20 hours per week

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

NiveauSenior
DomaineRecherche et sciences
Heures par semaine17.5
Déplacementsavion : aucun · route : aucun
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationMaîtrise (exigé), Doctorat (préféré)
Domaines d’étudesSeismology, Geophysics, Computational science, Earth science

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: Computational Seismology & Geophysics Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in solving scientific tasks.
  • Develop problems requiring the use of specialized scientific software like SPECFEM, ObsPy, and Pyrocko.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on AI model training, evaluation, and improvement in computational seismology.
  • Work independently and asynchronously to refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (SPECFEM, ObsPy, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently in a Linux/terminal environment.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

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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