Remote Part Time Weekend Jobs in Markham, ON (NOW HIRING)

Founded in 1993, Kinross is a Canadian-based senior gold mining company with operations and projects in the United States, Brazil, Mauritania, Chile and Canada. Our focus on delivering value is based on our four core values of Putting People First, Outstanding Corporate Citizenship, High Performance Culture, and Rigorous Financial Discipline.

Mining responsibly is a priority for Kinross, and we foster a culture that makes responsible mining and operational success inseparable. Our values-based approach ensures that sustainability and our environmental, social and governance commitments are a core part of our strategy and plans for future growth. In line with our values, we also aim to build meaningful partnerships with all of our stakeholders, including communities, shareholders, employees, governments and suppliers.

Kinross maintains listings on the Toronto Stock Exchange (symbol: K) and the New York Stock Exchange (symbol: KGC).

We are looking for a motivated and detail-oriented graduate student to support a pilot of an AI tool within our Environment & Permitting team. This role offers an exciting opportunity to gain hands-on experience applying an artificial intelligence tool to an active environmental permitting process. As a part-time team member, you will work alongside our Environment & Permitting team to support the effective use and implementation of the AI tool to advance the permitting process. Your work will focus on understanding how the tool works, using the tool to answer real-life questions, coaching others on how to use the tool, as appropriate, and enhancing processes to improve efficiency and insight generation within permitting workflows. You will gain practical exposure to large-scale mining project development, environmental impact assessment processes, and the application of emerging technologies in a corporate setting.

• Learn how to use the AI tool to extract insights and answer questions related to the active environmental permitting process
• Support the organization, review, and analysis of environmental and permitting documentation associated with the active permitting process
• Assist in the implementation and day-to-day use of the AI tool, including providing coaching to internal team members collaborating on the permitting process
• Participate in meetings and discussions related to the AI tool, including with the vendor, as well as the permitting process
• Provide an overall recommendation on the use of the AI tool and propose next steps

• Currently enrolled in a relevant graduate program, preferably in AI and data management engineering, environmental sciences, environmental engineering, sustainability, water resources, or a related field.
• Demonstrated interest or experience in AI, machine learning or data analytics.
• Strong interest in mining or infrastructure development, and familiarity with impact assessment, sustainability, permitting processes and responsible business practices.
• Structured and organized, while also curious and learning-oriented mindset.
• Ability to work independently in a remote, part-time environment, as well as collaboratively within a diverse team environment
• Excellent written and verbal communication skills, with the ability to present complex information in a clear and concise manner. Spanish language skills is an asset, but not required.
• Proficiency in MS Office Suite, including Excel and PowerPoint.

The base salary range for this role is $50,054.00 to $60,060.00 CAD.

The hiring range reflects our targeted compensation framework for the role. The actual offer will be determined through a comprehensive evaluation of each candidate’s experience, capabilities, and potential impact, along with consideration of internal equity, team structure, and benchmark market data for similar positions. In addition to base salary, Kinross offers a comprehensive total rewards package designed to support employee well-being, performance, and long-term development.

We use AI-enabled tools to help sort and review applications based on job-related criteria. All hiring decisions, including who moves forward in the process, are made by a human.

This job posting is for an existing vacancy.