Première détection par notre source: il y a 23 jours
Computational Statistics Expert - PhD
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract Computational Statistics and Applied Mathematics Expert at $70 to $90 per hour, for 15 to 20 hours per week. The role designs and tests computational problems that challenge AI systems on scientific and engineering tasks, using R, Python and Matlab/Scilab.
Salaire :
70 $–90 $ de l’heure
Responsabilités :
- Design challenging computational problems to test AI systems
- Develop problems using specialized statistical or scientific software
- Test and refine problems against state-of-the-art AI models
- Collaborate with AI research teams on problem setups and validators
- Work independently in a Linux/terminal environment
Résumé des exigences :
- Graduate-level training in statistics, applied mathematics or STEM
- Proven proficiency with a specialized statistical or scientific package
- Strong Python skills
- Ability to work independently and refine designs from feedback
- Available 15 to 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
- 2026-10-17
- 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 | 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 (préféré) |
| Domaines d’études | statistics, applied mathematics, STEM |
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 Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
- Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
- Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Collaborate with AI research teams to improve problem setups and solution validators.
- Work independently in a Linux/terminal environment with remote compute sandboxes.
Qualifications
Must-Have
- Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
- Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
- Strong Python skills.
- Ability to work independently and refine problem designs based on feedback.
- Available for at least 15–20 hours per week.
Preferred
- Experience across multiple computational domains or specialized software packages.
- 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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