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Internship Remote Data Labelling Jobs in Calgary, AB

ForeverRemote work culture : make the most of the flexibility that comes with remote work. * Growth ... internship opportunities. * Global impact : collaborate on impactful projects for top global ...

... well as remote colleagues globally. This role offers an excellent opportunity to build your ... data migration, and integration techniques. * Exposure to the end-to-end SDLC lifecycle on projects.

... well as remote colleagues globally. This role offers an excellent opportunity to build your ... data migration, and integration techniques. * Exposure to the end-to-end SDLC lifecycle on projects.

Internship Remote Data Labelling information

What are the key skills and qualifications needed to thrive as an Internship Remote Data Labelling professional, and why are they important?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is an Internship Remote Data Labelling job?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.
What are popular job titles related to Internship Remote Data Labelling jobs in Calgary, AB? For Internship Remote Data Labelling jobs in Calgary, AB, the most frequently searched job titles are:
Infographic showing various Internship Remote Data Labelling job openings in Calgary, AB as of May 2026, with employment types broken down into 75% Full Time, and 25% Temporary. Highlights an 25% In-person, 50% Hybrid, and 25% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

Miratech

Calgary, AB • On-site, Remote

Full-time

Medical

Posted 24 days ago


Job description

Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

The Senior Data Engineer is responsible for designing, developing, and supporting databases that power a large-scale IVR and contact center platform. The role is focused on backend database engineering and is aimed at building reliable, high-performing, and scalable data layers that support both runtime IVR systems.

The engineer works closely with IVR Engineers, Application Architects, DevOps, and Data Analytics teams to ensure correct data storage, availability, and consistency for call flows, routing logic, and IVR event data. This role is critical for ensuring platform stability, supporting complex backend investigations, and enabling long-term scalability of the IVR solution.
Responsibilities

  • Design, develop, and maintain databases supporting IVR and contact center systems
  • Support databases used by both runtime IVR services and analytics platforms
  • Design and maintain relational data models for IVR event, routing, and call data
  • Write, maintain, and optimize SQL for application logic, configuration changes, and investigations
  • Ensure database availability, integrity, performance, and scalability in production environments
  • Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting
  • Monitor and troubleshoot production databases and support incident investigations
  • Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements
Qualifications
  • 5+ years of experience as a Data Engineer
  • Strong proficiency in SQL, including complex joins, window functions, query optimization, and large dataset processing
  • Hands-on experience with AWS hosted relational and NoSQL databases 
  • Solid experience in relational data modeling for transactional and analytical systems
  • Experience working with event-based data and backend systems generating high volumes of interaction data
  • Strong experience with AWS 
  • Build and maintain scalable ETL/ELT pipelines for ingestion and transformation
  • Strong Python (or Golang/Java/Scala)
  • Knowledge of Git/GitHub, CI/CD, IaC (CloudFormation/Terraform), and containerization (Docker, Kubernetes)

Additional Information

We offer:

  • Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. 
  • Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. 
  • ForeverRemote work culture: make the most of the flexibility that comes with remote work. 
  • Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. 
  • Global impact: collaborate on impactful projects for top global clients and shape the future of industries. 
  • Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. 
  • Social sustainability values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. 

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.