Mechanical assembler • abbotsford bc
Materials Scientist / Engineer.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare... Show more
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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... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
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A premier and expanding heavy equipment manufacturing organization based in Mission, BC is seeking a skilled Mechanical Assembler to join their dynamic team.This hands-on position plays a critical ... Show more
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... Show more
Mechanical Design / CAD Expert.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare... Show more
Materials Scientist / Engineer.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare... Show more
We are seeking a self-performing, hands-on.The successful candidate will play a key role in maintaining and repairing hospital plant equipment and building systems to support safe, reliable, and co... Show more
Mechanical Engineering Subject Matter Expert.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finan... Show more
This is not an IT systems or systems administration role.The focus is on hands-on, product-level systems design for physical products that combine hardware, embedded technology, and mechanical comp... Show more
Mechanical Engineering Subject Matter Expert.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finan... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
BD Diesel Performance is hiring!.At BD Diesel Performance we're constantly striving not to be simply the best, but to be better.That road never ends, and engenders a culture that isn't satisfied wi... Show more
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: Materials Scientist / Engineer
Role Type: Contractor
Location: Remote
micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. 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.
