Data Entry/ AI Data Annotator (Richmond Hill, Night Shift, On-site)

at  Visual Defence Inc

ABOUT VISUAL DEFENCE

Visual Defence (VDI) is a leading provider of software solutions for the transportation and infrastructure sectors. The company provides solutions which leverage cameras to generate intelligence using fixed cameras and in-vehicle cameras. The company is a leading artificial intelligence software provider and is well known for its technology, CityROVER, which automates detection of incidents in the municipal and transportation sectors. The company is rapidly growing with extensive services provided world-wide.
Our accomplishments would not be possible without our biggest asset – our people. We always look for exceptional individuals to join our growing team and help us make and deliver products that make a positive impact in people’s lives.
For more information about us, our products and services, you may view our corporate website: http://visualdefence.com

REQUIREMENTS

• Post-secondary Diploma in technology program or four year’s degree is preferred.
• Strong computer and application skills is an asset.
• An excellent communicator verbal and written.
• Highly motivated, energetic and result oriented.
• Must be extremely organized, proactive and detail oriented.
• Patient and comfortable with repetitive tasks.
• Self-motivated to work independently.
  If this position can interest you, please check your eligibility to participate in the youth employment program in the following link:
• Please scroll to “Eligibility — youth”.
  nrc.canada.ca/en/support-technology-innovation/nrc-irap-funding-hire-young-graduates
  Job Types: Full-time, Permanent
  Pay: $35,776.00 per year

Benefits:

• Casual dress
• Company events
• Dental care
• Disability insurance
• Extended health care
• Flexible schedule
• Life insurance
• On-site parking
• Paid time off
• Vision care
• Work from home

Application question(s):

• Are you comfortable with doing repetitive work?
• Are you legally authorized to work in Canada?
• Can you reliably commute to this job’s location (Richmond Hill Ontario Canada, L4B 1L5)?

Work Location: In perso

• Review, and categorize content for applications using internal software programs.
• Establish proper classifications and apply labels to images and videos data with established procedures.
• Make content distinctions, identify patterns and build high-quality dataset to allow easier and faster user accessibility.
• Provide constructive feedback to our engineers on tooling and processes for more efficient labeling to improve data quality.
• Conduct research and analysis as needed on current and potential industries related to the areas of natural resources, inclusive of some or all of the following areas: Energy, Forests, Minerals / Metals, Earth Sciences, Green Manufacturing, Carbon & Climate Mitigation, Energy Efficiency & Green Buildings, Resource Conservation, and Environmental Protection.