20 meilleures offres (Data Scientist) (à pourvoir)

Research Data Scientist - AI Trainer
DataAnnotation —Kelowna, BC
- De 55 $ à 60 $ de l’heure
- Contrat
- Télétravail
- Bilingue
- Doctorat
- Informatique
- Heures d’arrivée et de départ flexibles
Postuler rapidement
Staff Data Scientist - AI Trainer
DataAnnotation —Coquitlam, BC
- De 55 $ à 60 $ de l’heure
- Contrat
- Télétravail
- Bilingue
- Doctorat
- Informatique
- Heures d’arrivée et de départ flexibles
Postuler rapidement
data science and data analysis instructor
Metro College of Technology —North York, ON
- De 50 $ à 75 $ par an
- Temps partiel
- Doctorat
- Informatique
- Analyse de données
- Travail à domicile
Postuler rapidement
Data Analytical Specialist/Scientist - Senior
Bevertec —Toronto, ON
- De 70 $ à 75 $ de l’heure
- Travail hybride
- Azure
Postuler rapidement
Data Scientist
Xplore Inc —Ontario
- Temps plein
- Télétravail
- Informatique
- Maîtrise
- SQL
Postuler rapidement
il y a 5 jours
Data Scientist
Gibraltar Mine —Mcleese Lake, BC
- De 102 700 $ à 128 300 $ par an
- Temps plein
- Informatique
- Ingénierie
- SQL
- Assurance Invalidité
- Assurance Dentaire
data scientist
ONIKON Creative Lab —Shediac, NB
- De 42 $ à 45 $ de l’heure
- Heures supplémentaires
- Anglais
- SQL
- Baccalauréat
Data Scientist
Ontario Teachers' Pension Plan —Toronto, ON
- De 105 000 $ à 155 000 $ par an
- Temps plein
- Informatique
- Doctorat
- Maîtrise
il y a 2 jours
Data Scientist
raisin Software —À domicile
- De 90 000 $ à 120 000 $ par an
- Télétravail
- Informatique
- Ingénierie
- SQL
Postuler rapidement
Data Scientist / ML Engineer (Antarctica Capital)
EarthDaily Analytics —À domicile
- De 145 000 $ à 170 000 $ par an
- Temps plein
- Télétravail
- AWS
- Apprentissage automatique
- APIs
Data Scientist 2
Northbridge Financial Corporation —Toronto, ON
- De 84 000 $ à 126 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- SQL
- Baccalauréat
Data Scientist
Meridian Credit Union —Etobicoke, ON
- De 68 800 $ à 100 000 $ par an
- Travail hybride
- Azure
- Java
- Esprit d'analyse
il y a 9 jours
Research Data Scientist
Freshr Technologies —Dartmouth, NS
- De 75 000 $ à 100 000 $ par an
- Temps plein
- Doctorat
- Ingénierie
- Maîtrise
- Programmes de Bien-être
- Indemnité kilométrique
Postuler rapidement
il y a 7 jours
Data Scientist II
Remitly —Burnaby, BC
- De 128 000 $ à 144 000 $ par an
Scientist – Digital Discovery: Biological Data Systems & Machine Learning
Amgen —Burnaby, BC
- De 109 254,75 $ à 147 815,00 $ par an
- Doctorat
- Expérience en laboratoire
- Maîtrise
Data Scientist
Kruger Products —À domicile
- De 95 000 $ à 125 000 $ par an
- Temps plein
- Télétravail
- Bilingue
- Azure
- Doctorat
data scientist
Altea Healthcare —Burnaby, BC
- 48,10 $ de l’heure
- Temps plein
- Anglais
- Java
- Baccalauréat
- Assurance Dentaire
- Assurance Vision
Data Scientist
Intact —Vancouver, BC
- De 94 200 $ à 115 200 $ par an
- Temps plein
- Travail hybride
- Doctorat
- Informatique
- Analyse de données
- Plan d'actionnariat des employés
Data Scientist
Penguin Random House Canada Limited —Toronto, ON
- De 69 056 $ à 90 000 $ par an
- Informatique
- Doctorat
- Informatique
il y a 5 jours
Staff Data Scientist - Risk
Shakepay —À domicile
- De 200 000 $ à 250 000 $ par an
- Télétravail
- Anglais
- SQL
- Apprentissage automatique
- Assurance Dentaire
- Congés payés

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : Data Scientist

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Research Data Scientist - AI Trainer

DataAnnotation -
Kelowna, BC

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Détails du poste

Contrat | Contrat à durée déterminée
De 55 $ à 60 $ de l’heure

Profil recherché

Bilingue
Doctorat
Informatique
Compétences rédactionnelles
Anglais
Google Cloud Platform
Maîtrise
AWS
Baccalauréat

Description complète du poste

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Research Data Scientist - AI Trainer to help advance AI development. 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.

As a member of DataAnnotation's team, 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. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

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.

Benefits:

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.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
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:

2+ 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 is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a 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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