Entry level engineering • maple ridge bc
Mechanical Engineering Professor.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthca... Voir plus
Electrical Engineering Professor.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthca... Voir plus
Technician (Union) - Electrical - Coquitlam, BC General Description of Responsibilities The Technician (Union) is responsible for performing standard testing and evaluation on a vari... Voir plus
At Amazon, we're working to be the most customer-centric company on earth.To get there, we need exceptionally talented, bright, and driven people.If you'd like to help us build the place to find an... Voir plus
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Mechanical Engineering Professor.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthca... Voir plus
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Fastfrate Group is an equal opportunity employer committed to creating a diverse, inclusive, and accessible workplace.We welcome applications from women, visible minorities, Indigenous peoples, per... Voir plus
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We are a dynamic and fast paced innovative construction insurance brokerage offering and developing products and services that meet the ever-changing needs in our home building clients and industry... Voir plus
The Manufacturing Engineer position is accountable for the planning, development, design, and coordination of manufacturing improvements in assigned Small Packaging – Plastic facilities.Specific ac... Voir plus
Electrical Engineering Professor.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthca... Voir plus
Port Coquitlam, British Columbia.Our client is an international mining technology company with research and development operations in the Vancouver area.Due to continued growth, they require the im... Voir plus
AWC specializes in providing integrated water, wastewater treatment plants and many other specialized industrial packaged solutions.We offer clients advanced in-house engineering & design with D mo... Voir plus
Mechanical Engineering Professor.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthca... Voir plus
Administrative Office Support Assistant - Remote.We are currently seeking organized and dependable individuals for an entry-level Administrative Support Assistant opportunity.This role is best suit... Voir plus
AWC specializes in providing integrated water, wastewater treatment plants and many other specialized industrial packaged solutions.We offer clients advanced in-house engineering & design with ... Voir plus
Langley, British Columbia, Canada.Civil Construction | Civil Engineering | Building Materials.Salary: $135K base salary, 25% bonus, company vehicle + gas card, RRSP match.On behalf of our client, w... Voir plus
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Role Title: Mechanical Engineering Professor
Role Type: Contractor
Location: Remote
micro1 is engaging Mechanical Engineering Professors, adjuncts, and academic instructors to participate in a high-impact AI research project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
Preferred Qualifications
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
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