TerraSense is looking to expand!

We’re a fully funded start-up: enjoy the culture, environment, and pace of a start-up with the security and financial stability of an already established company.

We truly believe that it’s our team that drives this company and its success so far, and we are looking for talents to join us. We want people who encompass our values of being self-driven, authentic, and interested in pushing the envelope of AI/deep learning.

WHY WORK WITH US? *

We believe in the change we can bring with our technology. Our technology is on the forefront of AI and deep learning with real world application. We work together with NVIDIA, UBC and Transport Canada to help modernize Canada. Our products work with two sectors: Aerospace and the Defense sector. We’re located in the beautiful city of Kelowna, British Columbia.

Our team consists of people with a variety of backgrounds who enjoy leading initiatives and are self-motivated (besides trusting you with the work, we don’t believe in clocking people’s hours, we offer flexible office hours), hungry to learn more (we are happy to support and pay for that too!), are team players (we love doing team activities like micro-brewery sampling), and are passionate in seeing how we can change the world together.

WHAT YOU WILL BE DOING!

We are looking for team members to contribute to the development of our MIST product. Data labellers annotate images that contribute to our deep-learning neural network. You will work with in-house tools to label aerial images in this role.
No previous experience in AI or data labeling is required. The perfect candidate for this role has computer experience, is adaptable, can apply logic to different scenarios, and enjoys a fast-paced work environment. The team provides all on-site training to help you be successful in this role.

RESPONSIBILITIES

• You will use in-house tools to label images for the Data Science team
• Interact with team members to help us improve the design of an efficient labeling interface
• You will learn how the labels are used by our learning algorithms
• Ability to make judgments on complex edge cases that may come up during labeling

REQUIREMMENTS

• High School diploma
• Passionate and curious about technology
• Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments
• Proficient computer skills (no coding required)
• Detail-oriented, patient, and can communicate clearly
• Must be reliable, have good initiative, committed and quality focused
• Previous military experience is a plus
• Available for work part-time between 9:00 AM-5:00 PM Monday-Friday at TerraSense office

• Security clearance check (Criminal Record and Credit Check)
• Canadian Citizen / Permanent Resident for at least 10 years

COMPENSATION

Job Type: Part-time

Pay: $20.00 per hour

NON - COMPENSATION CONSIDERATIONS*

Accountability: We truly do work hard, rest hard, and expect everyone to self-manage...meaning we don’t track hours
Flexible schedule, we can work around your lifestyle
Coffee, tea and drinks provided Terrasense
Team activities such as Beer Thursdays

OTHER

TerraSense is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. TerraSense employs personnel without regard to age, ancestry, colour, race, ethnic origin, place of origin, creed, disability, family status, marital status (including single status), gender identity, gender expression, sex (including pregnancy and breastfeeding), or sexual orientation.
While remaining alert and sensitive to the issues of fair and equitable treatment for all, TerraSense has a special concern with the participation and advancement of members of four designated groups that have traditionally been disadvantaged in employment: women, visible minorities, Indigenous peoples, and persons with disabilities.

TerraSense acknowledges that it is situated on the traditional, ancestral, and unceded territory of the syilx/Okanagan people.

Job Type: Part-time

Salary: $20.00 per hour

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