Research Associate, Scientific Operations

Mecka; Toronto; On-site; CAD 24,000 - 32,000; Part time

Benefits offered by this job

Part-time (20h/wk)

Job summary

Mecka seeks a part-time lab-focused role to run biology/chemistry protocols and generate datasets for AI/ robotics. You will perform bench work, document methods, and provide clear explanations while being filmed.

The position targets MSc/PhD students or recent graduates with wet-lab and robotics/automation skills, flexible around 1 November, up to 20 hours per week in Toronto.

Qualifications

• Strong hands-on laboratory skills in biology or chemistry with sound judgment and accurate records.
• Strong practical robotics and automation ability: systems you have built, integrated, operated or troubleshot in research or projects.
• Strong, demonstrable interest in AI, computer vision and robotics, supported by work or projects.
• Clear communication and comfort explaining laboratory techniques while filming.
• Reliable on-site attendance in Toronto and ability to work independently.

Responsibilities

• Run protocols: Prepare materials and instruments, follow methods and work safely across lab tasks and configurations.
• Record your work: Perform procedures while filmed and explain your actions clearly, prioritizing safety.
• Maintain traceability: Document methods, settings, observations, results and deviations for reproducibility.
• Keep the lab ready: Manage materials, check equipment, reset workspaces and support repeat runs.
• Troubleshoot practically: Investigate problems and flag failures early with approved improvements.
• Improve workflows: Use technical skills to make preparation, execution and documentation more reliable.

Skills

Laboratory skills

Robotics/automation

AI interest

Communication

Problem solving

Education

MSc/PhD student or recent graduate

Tools

Python

Instrument control

Computer vision software

Job description

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

The Role

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.

What you'll be doing:

• 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.

What you bring:

• 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.

Strong Signals:

• 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

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

Use of Artificial Intelligence in Recruitment

Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.