Label and annotate images using internal software tools. * Follow guidelines and feedback to ensure consistent and accurate data. * Support the AI team in maintaining high-quality datasets.
Quick apply
Apply Early
Label and annotate images using internal software tools. * Follow guidelines and feedback to ensure consistent and accurate data. * Support the AI team in maintaining high-quality datasets.
Apply Early
Label and annotate images using internal software tools. * Follow guidelines and feedback to ensure consistent and accurate data. * Support the AI team in maintaining high-quality datasets.
Label and annotate images using internal software tools. * Follow guidelines and feedback to ensure consistent and accurate data. * Support the AI team in maintaining high-quality datasets.
Pack, label, wrap, and load outbound trucks Education & Experience * High school degree or ... No experience required/ entry level * 1 year of warehouse operations experience preferred Skills ...
Pack, label, wrap, and load outbound trucks Education & Experience * High school degree or ... No experience required/ entry level * 1 year of warehouse operations experience preferred Skills ...
Entry Level Data Labeling information
What are the key skills and qualifications needed to thrive as an Entry Level Data Labeling Specialist, and why are they important?
To thrive in entry level data labeling, you need attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and sometimes simple image or audio editing tools is beneficial. Strong focus, reliability, and the ability to follow detailed instructions set outstanding candidates apart. These skills ensure labeled data is accurate and consistent, which is critical for training effective machine learning models.
What is an entry level data labeling job?
An entry level data labeling job involves reviewing and tagging data—such as images, videos, text, or audio—with specific labels or categories to help train machine learning models. Data labelers follow guidelines to accurately annotate data, making it understandable for computers. This role typically requires attention to detail, basic computer skills, and the ability to follow instructions. It is often a starting point for those interested in artificial intelligence or data science fields, and may be remote or on-site depending on the company.
What are some common challenges faced in an entry level data labeling role, and how can they be managed?
Entry level data labeling roles often involve repetitive tasks that require high attention to detail and consistency, which can sometimes lead to fatigue or decreased concentration. To manage these challenges, it's important to take regular breaks, communicate with your team about any ambiguities in the labeling guidelines, and utilize available training materials. Many companies also implement quality checks and provide feedback, which helps maintain accuracy and offers opportunities for skill development. Collaborating with peers and supervisors for clarification can make the workflow smoother and ensure high-quality labeled data.
What are the most commonly searched types of Data Labeling jobs in Ontario? The most popular types of Data Labeling jobs in Ontario are:
What job categories do people searching Entry Level Data Labeling jobs in Ontario look for? The top searched job categories for Entry Level Data Labeling jobs in Ontario are:
What cities in Ontario are hiring for Entry Level Data Labeling jobs? Cities in Ontario with the most Entry Level Data Labeling job openings:
Temporary
Posted 8 days ago
Be an early applicant
Job description
Salary: $18.50 CAD / hour
About BinSentry
BinSentry is an extremely fast-growing ag-tech company started here in KW. BinSentry is focused on providing solutions for the agriculture supply chain that help increase efficiency, reduce costs, and enhance profitability. As a leader in the use of artificial intelligence, BinSentry offers technology solutions that pair best-in-class optical sensors with user-friendly software to provide our customers with enhanced forecasting and decision-making capabilities.
With our technology, feed mills, commercial grain handling facilities, and protein producers are enhancing feed ordering efficiency, raising healthier animals, improving employee safety, reducing their environmental footprint and - most significantly - uncovering new savings. Today, BinSentry is monitoring more than 64,000 bins in real time across North America. When it comes to the future of agricultural supply chain management, BinSentry is leading the way. For more information visit www.binsentry.com
As an Image Data Technician, you will play a key role in improving our AI models by labeling and annotating image data. This entry-level role is temporary, making it ideal for students, young adults, or anyone looking to gain hands-on experience with AI technology.
Key Responsibilities:
- Label and annotate images using internal software tools.
- Follow guidelines and feedback to ensure consistent and accurate data.
- Support the AI team in maintaining high-quality datasets.
- Document changes to our annotation processes and practices
Qualifications:
- Strong attention to detail and ability to focus on repetitive tasks.
- Comfortable learning and using custom software tools.
- Ability to create clear written communication
- Ability to work in-office in Kitchener, Ontario.
Why Join Us:
- Gain practical experience in AI and data annotation.
- Contribute to projects that directly support AI model development.
- Work in a collaborative, fast-paced professional environment.
This is a temporary, entry-level opportunity perfect for someone looking to gain exposure to AI data work in a professional setting.
Duration: 46 weeks to start, potential for extension
Compensation: $18.50/hour
We use artificial intelligence tools to support parts of our recruitment process, such as screening or assessing applications. Final hiring decisions are made by our hiring team.
This posting is for an existing vacancy.