Join Mecka AI as a part-time Research Associate to produce scientific datasets for AI and robotics in a flexible lab environment.
Posted by employer 1 day ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
What you'll build
Must have
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Practical constraints
AI in the day-to-day
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process.
Requirements
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Research Associate will conduct various biology and chemistry protocols to generate scientific datasets for AI and robotics, ensuring meticulous documentation and adherence to safety standards. Candidates should possess strong laboratory skills, practical experience with robotics and automation, and a keen interest in AI and computer vision. This position is well-suited for MSc or PhD students and recent graduates looking to apply their technical expertise in a hands-on environment. Mecka AI emphasizes a collaborative approach, working closely with robotics teams to enhance data-driven workflows.
Joblaze insights
Quick facts
From the original posting
Run and record varied biology and chemistry protocols and experimental configurations. Produce scientific datasets for AI and robotics through careful bench work, clear explanations and reliable records.
MSc/PhD students and recent graduates with wet-lab and robotics/automation skills are welcome. Target start: around 1 November. Flexible scheduling; extension subject to project needs.
Run protocols: Prepare materials and instruments, follow agreed methods and work safely across a range of laboratory tasks and configurations.
Record your work: Perform procedures while filmed and explain your actions clearly. Scientific technique and safety come first.
Maintain traceability: Document methods, settings, observations, results and deviations so each run can be understood and compared.
Keep the lab ready: Manage materials, check equipment, reset workspaces and support dependable repeat runs.
Troubleshoot practically: Investigate experimental and technical problems; flag failures early and test agreed improvements.
Improve workflows: Apply your technical skills to make preparation, execution and documentation more reliable and efficient.
Strong hands-on laboratory skills in biology, chemistry or a related experimental discipline, with sound experimental judgment and accurate records.
Strong practical robotics and automation ability: systems you have built, integrated, operated or troubleshot in research, coursework or projects.
Strong, demonstrable interest in AI, computer vision and robotics, supported by relevant work, projects or self-directed learning.
Clear communication and comfort explaining laboratory techniques while working under agreed filming arrangements.
Reliable on-site attendance in Toronto, independent problem-solving and judgment about when to stop or ask for help.
Lab TA or teaching experience; lab management or operations experience spanning training, equipment, inventory or scheduling.
Python, instrument control, computer vision or scientific software; projects connecting software with physical systems or self-driving labs.
Initiative in a lab, student venture or small team, with practical product and operating judgment. Founder experience is welcome, not required.
Please note that this is a part-time role and will have a cap of 20 hours/week
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