Machine learning engineer • regina sk
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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We employ more than 13,000 people in six countries to serve farmers all over the world.Our Headquarters is in Lithia, Florida with operations throughout North and South America.At Mosaic, we help t... Show more
Established in 1976, the Saskatchewan Indian Institute of Technologies (SIIT) is a First Nation governed post-secondary institution.Recognized under provincial legislation, the Institute has been c... Show more
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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
We generate more than just power for the people of Saskatchewan.We also offer some of the best jobs in the province.Our challenging careers will help you grow, while being surrounded by a team comm... Show more
What We do: iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail.Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of... Show more
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Secondary (high) school graduation certificate.Advertise and/or promote products, sales or services.Are you available to start on the date listed in the job posting?.Learning/training paid by emplo... 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.
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