13 meilleures offres (data science manager, vancouver, bc) (à pourvoir)

Data Science Manager - AI Trainer
DataAnnotation —West Vancouver, BC
- De 50,00 $ à 140,56 $ de l’heure
- Contrat
- Télétravail
- Doctorat
- Informatique
- Compétences rédactionnelles
- Heures d'arrivée et de départ flexibles
Postuler rapidement
Manager, AI Engineering
Canfor —Vancouver, BC
- De 102 550 $ à 146 500 $ par an
- Informatique
- Ingénierie
- Baccalauréat
Postuler rapidement
Manager, Data & AI Strategy
TELUS Digital —Vancouver, BC
- De 111 724 $ à 131 440 $ par an
- Temps plein
- Télétravail
- Azure
- Informatique
- Ingénierie
Manager, Data & Analytics Business Partner
Westland Insurance Ltd. —Surrey, BC
- De 106 000 $ à 138 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- SQL
- Apprentissage automatique
Postuler rapidement
Product Manager, AI Enablement
Safe Fleet —Coquitlam, BC
- De 145 000 $ à 165 000 $ par an
- Temps plein
- Apprentissage automatique
- Gestion de produits
- Formation et développement
Postuler rapidement
Senior Customer Analytics Manager (Sales & Partnerships)
Jobber —Vancouver, BC
- De 151 200 $ à 204 500 $ par an
- Temps plein
- Travail hybride
- Salesforce
- SQL
- Esprit d'analyse
Machine Learning Engineer Lead
Vancouver City Savings Credit Union —Vancouver, BC
- De 125 000 $ à 169 100 $ par an
- Informatique
- Ingénierie
- Maîtrise
- Jours fériés payés
- Assurance Dentaire
AI Lab Operations Lead
KPMG —Vancouver, BC
- De 80 000 $ à 100 000 $ par an
- Temps plein
- Informatique
- Ingénierie
- Baccalauréat
il y a 7 jours
Lead Machine Learning Engineer
Serve Robotics —Vancouver, BC
- De 225 000 $ à 260 000 $ par an
- Temps plein
- Télétravail
- Doctorat
- Informatique
- Ingénierie
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS —Vancouver, BC
- De 113 000 $ à 152 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Doctorat
- Informatique
- Assurance Dentaire
- Congés payés
il y a 6 jours
AI Development Lead
Royal Bank of Canada —Vancouver, BC
- Temps plein
- Azure
- Maintenance
- AWS
il y a 6 jours
Lead AI Software Engineer
Royal Bank of Canada —Vancouver, BC
- Temps plein
- Azure
- Java
- SQL
il y a 12 jours
Senior Lead Financial Engineer
Royal Bank of Canada —Vancouver, BC
- Temps plein
- Doctorat
- Ingénierie
- Java
il y a 5 jours

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AI Annotation Specialist Data Science - AI Trainer
DataAnnotation —West Vancouver, BC
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
De 50,00 $ à 140,56 $ de l’heure
Postuler rapidement
Principal Data Scientist - AI Trainer
DataAnnotation —Surrey, BC
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
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Data Science Manager - AI Trainer

DataAnnotation -
West Vancouver, BC

Postuler rapidement

Détails du poste

Contrat | Contrat à durée déterminée
De 50,00 $ à 140,56 $ de l’heure

Profil recherché

Statistique
Analyse prédictive
Statistique
Doctorat
Informatique
Analyse de la modélisation prédictive
Compétences rédactionnelles
Ingénierie
Mathématiques
Anglais
Maîtrise
Baccalauréat
Analyse et modélisation quantitatives
Test A/B
Science des données
Intelligence artificielle
Analyse statistique des données

Description complète du poste

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Data Science Manager - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

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