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Remote E Learning Content Editor Jobs in Toronto, ON

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Work with real-time data and content coming from various data sources. * Manage machine learning ...

The Altus Group

Real Estate Valuation Consultant

Toronto, ON · On-site +1

CA$50K - CA$80K/yr

... learning content. * Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work - use the office for collaboration and remote work for ...

The Altus Group

Cost Consultant, Mechanical

Toronto, ON · On-site +1

CA$70K - CA$100K/yr

... learning content. * Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work - use the office for collaboration and remote work for ...

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$110 - CA$145/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... Learning . * Knowledge of Recursive Self-Improvement . * Familiarity with AI for Science (e.g ...

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All JobsE Learning Content Editor JobsRemote E Learning Content Editor JobsRemote E Learning Content Editor Jobs in Toronto, ON

Remote E Learning Content Editor information

What is the difference between Remote E Learning Content Editor vs Remote Instructional Designer?

AspectRemote E Learning Content EditorRemote Instructional Designer
CredentialsTypically requires a degree in education, communications, or related fields; certifications in e-learning tools are a plusOften requires a degree in education, instructional design, or related fields; certifications like ATD or ISTE are common
Work EnvironmentPrimarily remote, working with content teams and subject matter expertsPrimarily remote, collaborating with stakeholders to design and develop learning experiences
Employer & Industry UsageUsed by e-learning companies, educational institutions, corporate training providersUsed by educational institutions, corporate training departments, e-learning firms

While both roles involve working with digital learning materials remotely, the Remote E Learning Content Editor focuses on editing and refining existing content, whereas the Remote Instructional Designer is responsible for designing and developing new learning experiences. Understanding these differences helps job seekers identify the right role for their skills and career goals.

What are the most commonly searched types of E Learning Content Editor jobs in Toronto, ON?

The most popular types of E Learning Content Editor jobs in Toronto, ON are:

What are popular job titles related to Remote E Learning Content Editor jobs in Toronto, ON?

For Remote E Learning Content Editor jobs in Toronto, ON, the most frequently searched job titles are:

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The top searched job categories for Remote E Learning Content Editor jobs in Toronto, ON are:

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Cities near Toronto, ON with the most Remote E Learning Content Editor job openings:

Remote E Learning Content Editor jobs near you

Machine Learning Engineer

NTENT

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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