Première détection par notre source: il y a 24 jours
Computational Mathematician - Fully Remote | Upto $70/hr
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract Computational Mathematician, paid $70 per hour for six weeks at 20+ hours per week. The role writes and grades scientific prompts and answers to challenge frontier AI models, drawing on published papers, Kaggle datasets and open-source repositories. A PhD in mathematics and working knowledge of Python or R are required.
Salaire :
70 $ de l’heure
Responsabilités :
- Source original material from papers, datasets and repositories
- Write scientific prompts to challenge frontier models
- Build grading criteria defining correct answers
- Calibrate tasks against frontier models before release
- Work independently and asynchronously to meet deadlines
Résumé des exigences :
- PhD in mathematics or a closely related field
- Depth in at least two computational subdomains
- Working proficiency in Python or R
- Comfortable with Git/GitHub and Docker
- Publications in peer-reviewed journals (preferred)
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
| Niveau | Senior |
| Domaine | Recherche et sciences |
| Heures par semaine | 20 |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Doctorat (exigé) |
| Domaines d’études | mathematics, applied mathematics, computational mathematics |
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: Mathematics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week
Role Responsibilities
- Source original material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
- Write scientific prompts based on sourced input to challenge frontier models.
- Build grading criteria that define correct answers for scientific tasks.
- Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
- PhD in mathematics, applied mathematics, computational mathematics, or a closely related field.
- Demonstrated depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
- Working proficiency in Python or R for scientific computing.
- Comfortable with Git/GitHub and running code in Docker.
Preferred
- Publications in peer-reviewed journals.
- Prior scientific software or research engineering experience.
Start Date
- Immediate
Interview Process
- Upload your resume and application form.
- A 25-minute conversational interview covering your background, experience, and motivations.
- Follow up within a few days with next steps and onboarding.
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.
Journal
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