Entry level it • cranbrook 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
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Physics Expert (Professor / Principal Investigator).Expert Judgment in Ambiguous Cases.Defensible Written Articulation.AI data lab for training frontier models and evaluating AI agents.Experts cont... Voir plus
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City Cranbrook State/Province British Columbia Country Canada Date Wednesday, July 22, 2026 Working time Full-time Ref# 20040433 Job Level Individual Contributor Job Type Experienced Seniority Leve... Voir plus
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Shop Attendant Electrical Term Full-Time.September 1, 2026, to May 26, 2027.Monday to Thursday 1:45 PM to 10:00 PM.This position is managed by the Department Head of Trades and receives operation f... Voir plus
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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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