Première détection par notre source: il y a 24 jours
Data Science Expert - Fully Remote | Upto $170/hr
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract Data Science Expert at $120–$170 per hour. The role grades data science deliverables such as analyses, models, dashboards and experiment readouts, and works with AI research teams to improve training data quality.
Salaire :
120 $–170 $ de l’heure
Responsabilités :
- Design grading criteria for data science deliverables
- Score AI-generated and human work samples with written justifications
- Apply consistent, evidence-based judgment
- Incorporate feedback from senior reviewers
- Collaborate with AI research teams on training data quality
Résumé des exigences :
- 5+ years of professional data science experience in industry
- Background in business operations, product or growth data science
- Deep fluency in experiment design, A/B testing, SQL and Python
- Exceptionally strong written communication
- Detail-oriented and comfortable with calibration against peers
- Prior AI training or evaluation experience 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 | Données et analytique |
| Expérience | 5 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
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: Data Science Expert
Type: Contract
Compensation: $120–$170/hour
Location: Remote
Role Responsibilities
- Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, and experiment readouts.
- Score AI-generated and human work samples against established criteria with detailed, well-reasoned written justifications.
- Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
- Incorporate structured feedback from senior reviewers and iterate quickly on your work.
- Collaborate with AI research teams to improve training data quality and downstream performance.
Qualifications
Must-Have
- 5+ years of professional data science experience in industry.
- Background in business operations, product, or growth data science at top-tier technology companies.
- Deep fluency in experiment design, A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
- Exceptionally strong written communication.
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.
Preferred
- Prior experience with AI training, evaluation, or human-data projects.
Application Process (Takes 20–30 mins to complete)
- Submit your resume or relevant technical background to get started.
- Qualified applicants may be asked to complete a brief technical assessment or submit additional information.
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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