11 meilleures offres (data science, bedford, ns) (à pourvoir)

Applied Scientist - AI Trainer
DataAnnotation —Halifax, NS
- De 50,00 $ à 140,56 $ de l’heure
- Contrat
- Télétravail
- Doctorat
- Informatique
- Compétences rédactionnelles
- Heures d'arrivée et de départ flexibles
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Academic Researcher - AI Trainer
DataAnnotation —Halifax, NS
- De 50,00 $ à 140,56 $ de l’heure
- Contrat
- Télétravail
- Doctorat
- Informatique
- Compétences rédactionnelles
- Heures d'arrivée et de départ flexibles
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R&D Ops AI/ML Data Scientist
Siemens Healthineers —Halifax, NS
- De 117 500 $ à 161 568 $ par an
- Temps plein
- Travail hybride
- Informatique
- Baccalauréat
- Amélioration continue
- Assurance Invalidité
- Assurance Dentaire
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il y a 4 jours
Analyste, Données sur la santé et programmation statistique/ Analyst, Health Data & Statistical Programming
IQVIA —Halifax, NS
- De 90 400 $ à 120 500 $ par an
- Temps plein
- Microsoft Excel
- Recherche
- Maîtrise
Lead Applied Scientist
AXIS Insurance —Halifax, NS
- De 110 000 $ à 200 000 $ par an
- Temps plein
- Mathématiques
- Gestion d'équipe
- Mentorat
- Bourses d'Études
Senior Data Analyst - GFT Halifax
Royal Bank of Canada —Halifax, NS
- Temps plein
- Recherche
- SQL
- Développement logiciel
Computer Vision Engineer
Innovasea —Bedford, NS
- Temps plein
- Travail hybride
- C++
- Amélioration continue
- Développement logiciel
- Assurance Dentaire
- Congés payés
Postuler rapidement
Senior AI Engineer, Platform Engineering
ResMed —Halifax, NS
- Temps plein
- Dépannage de logiciel
- Amélioration continue
- APIs
Senior Manager, Advanced Analytics
MNP —Dartmouth, NS
- Vente
- DevOps
- Microsoft Office
- Assurance Dentaire
- Congés payés
il y a 13 jours
Director Consulting, Business Transformation & AI
CGI —Halifax, NS
- De 100 000 $ à 190 000 $ par an
- Temps plein
- Informatique
- Ingénierie
- Anglais
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Senior Computer Vision Engineer
Innovasea —Bedford, NS
- Temps plein
- Travail hybride
- C++
- Amélioration continue
- Développement logiciel
- Assurance Dentaire
- Congés payés
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Academic Researcher - AI Trainer
DataAnnotation —Halifax, NS
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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Research Data Scientist - AI Trainer
DataAnnotation —Aurora, ON
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
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Data Science Consultant - AI Trainer
DataAnnotation —North York, ON
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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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data science (bedford, ns)

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Applied Scientist - AI Trainer

DataAnnotation
Halifax, NS

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Détails du poste

Contrat | Contrat à durée déterminée

Avantages

Heures d'arrivée et de départ flexibles

Compétences

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 Applied Scientist - 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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