Première détection par notre source: il y a 24 jours
Geophysics Specialist - Fully Remote | Upto $85/hr
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract Computational Seismology & Geophysics Expert at $70–$85/hour for 15–20 hours per week. The role designs and tests challenging computational problems to evaluate AI capabilities in scientific 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 AI models
- Collaborate on AI model training and evaluation
- Refine problem designs independently from feedback
Résumé des exigences :
- Graduate-level STEM training or equivalent research experience
- Proven use of a scientific software library
- Strong Python skills
- 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
| Domaine | Recherche et sciences |
| Heures par semaine | 17.5 |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (exigé), Doctorat (exigé) |
| Domaines d’études | Geophysics, Seismology, Earth sciences |
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: 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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