Audio engineering • levis qc
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Audiothèque L’Oreille qui lit, organisme à but non lucratif, OBNL, a pour mission de « Rendre accessible en mode audio, la documentation écrite, informative, autant générale que spécialisée aux per... Show more
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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... Show more
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Ensure the linguistic and phonetic quality of Omilia’s multilingual Text-to-Speech (TTS) systems by designing phoneme inventories, developing lexicons, and reviewing audio corpora to support enterp... 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
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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
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
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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 Subject Matter Expert
Role Type: Contractor
Location: Remote
micro1 is selectiong Mechanical Engineering Subject Matter Experts to participate in a dynamic project for a valued 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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