Première détection par notre source: il y a 24 jours
Applied Mathematics Specialist - Fully Remote | Upto $90/hr
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a contract Computational Statistics and Applied Mathematics Expert to design and test computational problems for AI evaluation. The work is fully remote, 15–20 hours per week, paid $70–$90 per hour, and requires Python and Linux/terminal skills plus graduate-level STEM training.
Salaire :
70 $–90 $ de l’heure
Responsabilités :
- Design challenging computational problems with statistical or mathematical software
- Evaluate AI ability to compute reproducible numerical answers
- Test and refine problems against AI models to reach target difficulty
- Refine problem designs independently based on feedback
Résumé des exigences :
- Graduate-level training in statistics, applied math or a related STEM field
- Proven proficiency with at least one specialized software package
- Strong Python skills for problem setups and solution validators
- Independent work in a Linux/terminal environment
- 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
| Niveau | Intermédiaire |
| 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) |
| 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 using specialized statistical, mathematical, or scientific software packages.
- Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
- Develop problems requiring strategic planning for information discovery and efficient problem-solving.
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Work independently and asynchronously to refine problem designs based on feedback.
Qualifications
Must-Have
- Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
- Proven proficiency with at least one specialized software package through research publications or professional work.
- Strong Python skills for writing problem setups and solution validators.
- Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
- 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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