
Textile Weaving Machine Operators are skilled workers who operate and manage machines that weave fibers into fabrics. They play a critical role in the textile manufacturing process, ensuring the production of high-quality fabric.
Knitter, Machine Operator, Tufting Operator, Weaver
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Income data is from Employment and Social Development Canada's 2024 wage tables. The closest match for this career in Canada’s occupational classification system is Textile Weaving Machine Operator.
| Bottom 10% | Bottom 25% | Median (average) | Top 25% | Top 10% |
|---|---|---|---|---|
| $33K per year | $36K per year | $42K per year | $48K per year | $54K per year |
Compared to other careers: Median is $23K below the national average.
These operators typically work in textile mills or manufacturing plants. The environment can be noisy and may involve exposure to fibers and dyes. Work often involves shifts, including nights and weekends, in a fast-paced setting.
Textile Weaving Machine Operators are integral to the production of a wide variety of fabrics. Their main responsibility is to set up, operate, and maintain weaving machines that transform yarns and threads into textiles. They need to be knowledgeable about different types of yarns, weaving patterns, and the specific capabilities of the machines they operate.
Operators must closely monitor the weaving process, making adjustments to the machines as necessary to correct any defects and ensure that the fabric meets quality standards. This role requires a keen eye for detail and a good understanding of textile production. Machine maintenance is also a key part of the job, as keeping the machinery in good working order is essential for efficient production.
While the work can be repetitive, it also requires a degree of skill and precision. The satisfaction in this role comes from seeing the direct results of one's work in the form of finished fabrics, which are used in everything from clothing to home furnishings.
A high school diploma or equivalent is generally required. On-the-job training is common, but some technical knowledge of textiles and machinery can be beneficial.
Similarity is based on what people in the careers do, what they know, and what they are called. The process of establishing similarity lists is described in this white paper.