1

Intern Data Annotation Tech Jobs in Calgary, AB (NOW HIRING)

... focus on using technology to alleviate the administrative burden for landlords and property ... As a Business Development Intern, you will play a key role in supporting revenue growth and scaling ...

... data centers that power cloud computing and the digital infrastructure the world relies on, to ... Actively participate as a member of our in-office studio, mentoring intern architects ...

... data integrity problems! * Job location: Calgary, AB - Head Office * Shift schedule: 5 days on, 2 ... Familiarity with one or more of the following technologies: VB.NET, C#.NET, ASP.NET, Blazor, Entity ...

... data integrity problems! * Job location: Calgary, AB - Head Office * Shift schedule: 5 days on, 2 ... Familiarity with one or more of the following technologies: VB.NET, C#.NET, ASP.NET, Blazor, Entity ...

Banking Advisor Intern What is the opportunity? This unique position calls on your client-focused ... Focus on client education and demonstration, leveraging technology to deliver a memorable client ...

Showing results 21-40

Intern Data Annotation Tech information

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve job performance over time.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.

What are popular job titles related to Intern Data Annotation Tech jobs in Calgary, AB?

For Intern Data Annotation Tech jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Intern Data Annotation Tech jobs in Calgary, AB look for?

The top searched job categories for Intern Data Annotation Tech jobs in Calgary, AB are:

Infographic showing various Intern Data Annotation Tech job openings in Calgary, AB as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Visualization Engineer - Landmark

Halliburton

Calgary, AB

Full-time

Posted 29 days ago


Halliburton rating

7.2

Company rating: 7.2 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

340th of 449 rated engineering


Job description

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

About the Role

You will focus on building the visualization layer for next-generation geoscience applications. This role is centered on displaying, exploring, and interacting with large-scale scientific datasets within modern web applications.

You will work closely with front-end engineers, AI engineers, and domain experts to develop high-performance visualization capabilities that allow users to interact with millions of data points in real time. You will help design and implement rendering systems, data processing pipelines, and visualization frameworks that transform complex geoscience data into interactive visual experiences.

You will build software for the following domain:

  • Geoscience - geology, geophysics, or petrophysics

Technologies used vary by team and include:

  • TypeScript, JavaScript, C++, and Python
  • Angular, React, and Node.js
  • WebGL, WebGPU, Three.js, deck.gl, D3.js, Cesium, or similar visualization frameworks
  • Cloud platforms including Azure and AWS

Containerization and orchestration tooling such as Docker and Kubernetes

Job Duties
  • Design and implement high-performance visualization components for complex scientific and engineering datasets
  • Build rendering systems capable of displaying and interacting with millions of points, vectors, surfaces, or spatial objects
  • Design interaction models for zooming, filtering, selection, annotation, and navigation of large datasets
  • Optimize visualization performance across CPU, GPU, and memory
  • Use AI-assisted development tools to accelerate implementation, debugging, performance tuning, and test generation for visualization components
  • Evaluate emerging AI-assisted approaches for visualization generation, interaction design, and data exploration
  • Collaborate with UI engineers to integrate visualizations into application workflows
  • Develop efficient client-side data structures, indexing strategies, and pipelines
  • Evaluate and integrate visualization libraries, rendering frameworks, and graphics technologies where appropriate
  • Apply secure coding practices and participate in code reviews
  • Communicate clearly across a distributed, cross time zone team
Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, Graphics, Visualization, or a related discipline, or equivalent experience
  • 5+ years of software development experience
  • Strong understanding of computer graphics fundamentals, rendering pipelines, shaders, and GPU programming concepts
  • Experience developing interactive 2D and 3D visualization for Scientific application or Games.
  • Experience working with large datasets using Level-of-Detail (LOD), streaming, caching, and performance optimization techniques.
  • Strong problem-solving and analytical skills.
  • Experience profiling and optimizing rendering and application performance
  • Experience displaying and interacting with very large datasets in web applications
  • Experience with GPU-accelerated rendering technologies such as WebGL, WebGPU, Three.js, deck.gl, Cesium, or similar frameworks
  • Experience optimizing rendering performance, memory consumption, and application responsiveness
  • Experience developing interactive visualizations involving panning, zooming, selection, filtering, layering, or spatial navigation
  • Experience profiling and troubleshooting performance issues in modern browsers
  • Experience consuming APIs and streaming large datasets to client applications
  • Clear written and verbal communication, including the ability to explain technical trade-offs to teammates and stakeholders
  • Experience using AI development tools in an effective and productive fashion
Preferred
  • Experience with scientific visualization, GIS, CAD, E&P, engineering, or simulation software
  • Experience working with point clouds, 2D/3D geometry, meshes, raster data, or spatial data structures
  • Experience with WebGPU and modern browser graphics pipelines

Experience with cloud-native development including containers and Kubernetes

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.  Depending on education, experience, and skill level, a variety of job opportunities might be available, Principal Software Development, and Technical Advisor Software Development.

How You Work

The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time.

Why Landmark

We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on.

We offer competitive compensation, a strong career path, and a role where you own what you build, and your impact is visible.

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

700 9th Ave SW Suite 2000, Calgary, Alberta, T2P 3V4, Canada 

Job Details

Requisition Number: 210454 
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services 
Full Time / Part Time: Full Time

Additional Locations for this position: 

Compensation Information
Compensation is competitive and commensurate with experience.


What Halliburton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Halliburton logo

About Halliburton

Sourced by ZipRecruiter

Halliburton, headquartered in Houston, TX, US, is a world-renowned corporation in the oilfield services industry. Established in 1919, the company has made significant inroads in the energy sector, playing a pivotal role in oil and gas explorations across the globe. One can visit their official website, halliburton.com, to learn more about their business operations, products, and services. Halliburton specializes in a broad spectrum of services including locating hydrocarbons, managing geological data, drilling and formation evaluation, well construction and completion, and optimizing production throughout the life of the field. Halliburton’s mission is to maximize the value of oil and gas assets.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Houston, TX, US