Data Science Student
Edmonton, AB · On-site
Train machine learning systems using data annotation and benchmarking techniques. Help your colleagues assess AI/ML model performance and propose paths for potential improvement. Prepare data ...
Data Science Student
Edmonton, AB · On-site
Train machine learning systems using data annotation and benchmarking techniques. Help your colleagues assess AI/ML model performance and propose paths for potential improvement. Prepare data ...
... data annotation and benchmarking techniques. • Help your colleagues assess AI/ML model performance and propose paths for potential improvement. • Prepare data visualizations using industry ...
... data annotation and benchmarking techniques. • Help your colleagues assess AI/ML model performance and propose paths for potential improvement. • Prepare data visualizations using industry ...
... data annotation and benchmarking techniques. • Help your colleagues assess AI/ML model performance and propose paths for potential improvement. • Prepare data visualizations using industry ...
... data annotation and benchmarking techniques. • Help your colleagues assess AI/ML model performance and propose paths for potential improvement. • Prepare data visualizations using industry ...
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Rather than relying solely on human preference data, we can ground reinforcement learning in the ... Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
Data Annotation information
See Alberta salary details
$9.13 - $13.22
4% of jobs
$16.50 is the 25th percentile. Wages below this are outliers.
$13.22 - $17.31
26% of jobs
The median wage is $19.75 / hr.
$17.31 - $21.39
33% of jobs
$24.77 is the 75th percentile. Wages above this are outliers.
$21.39 - $25.48
14% of jobs
$25.48 - $29.57
2% of jobs
$29.57 - $33.65
12% of jobs
$33.65 - $37.74
8% of jobs
$37.74 - $41.83
0% of jobs
$41.83 - $45.91
0% of jobs
$45.91 - $50
0% of jobs
$50 - $54.09
1% of jobs
$9
$25
$54
How much do data annotation jobs pay per hour?
As of Jul 15, 2026, the average hourly pay for data annotation in Alberta is $25.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $30.05 per hour, depending on experience, location, and employer.
What does a typical workday look like for someone in a Data Annotation role?
A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.
Is data annotation a genuine job?
Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.
Does data annotation pay well?
Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.
What is a Data Annotation job?
A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.
How hard is it to get hired by data annotation?
Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.
What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?
To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.
What does a data annotator do?
A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What are popular job titles related to Data Annotation jobs in Alberta? For Data Annotation jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Alberta look for? The top searched job categories for Data Annotation jobs in Alberta are:
PCL Construction rating
7.0
Based on 16 frontline employees who took The Breakroom Quiz
Job description
The future you want is within reach.
At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry.
We're also looking at what's next for you and how we can help you build a career you're proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.
We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is availablefor 8 or 12 months starting in September, 2026.This position willbe under the direct supervision of the Manager, Data Science.
Remote work not available for this position.
As a Data Science Student, you will contribute to our team by:
Responsibilities
Gain proficiency in exploratory data analysis, perform it, and present insights.
Prepare data sets for visualization and machine learning modeling.
Train machine learning systems using data annotation and benchmarking techniques.
Help your colleagues assess AI/ML model performance and propose paths for potential improvement.
Prepare data visualizations using industry-leading tools to summarize results for stakeholders.
Document your results - tell the story of the work, the successes, and the lessons-learned for posterity.
Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise.
This position has a twist. Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you:
Develop a proposal
Engage with the right people to inform your work
Build your prototype or visualization
Assess and present the results
Qualifications
Currently enrolled in a postsecondary program
You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless.
Analytical skills - ability to quickly analyze data to identify and visualize key insights - as evidenced by coursework, projects, or research requiring the analysis of large datasets.
Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine.
Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us. We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools.
Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you'll find it important to be able to communicate appropriately with both as needed.
Next Step:
Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview.
PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.
The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants. We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
Should you require an accommodation during the application process, please contact us at careers@pcl.com with the position and location you are interested in.
Together, we can build success and a better future. Let's get started!
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