Data Collection and Annotator

About Maneva

Maneva a startup founded by an ex-Google Deepmind researcher is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection production efficiency safety and more.

Position Overview

We are seeking a contractor to support onsite data collection AI system validation and remote annotation efforts across multiple customer production facilities in the Greater Toronto Area (GTA). This role involves capturing image and operational data in live industrial environments during production runs maintenance windows commissioning activities and validation exercises.

The contractor will represent Maneva onsite following deployment engineer instructions to execute structured data collection and validation protocols across various manufacturing environments (e.g. food production packaging processing or other industrial operations). While specific facilities and use cases may vary the core objective remains consistent: support AI model training validation and continuous improvement through high-quality data collection and documentation.

When not onsite the contractor will provide remote data annotation documentation support and model validation assistance. This role requires strong attention to detail comfort working in industrial environments and the ability to translate real-world observations into structured digital documentation that accelerates model iteration.

Responsibilities

Onsite Data Collection & System Validation

• Field Deployment: Travel to various customer facilities within a 2-hour driving radius of the Greater Toronto Area and Southeastern Ontario.
• Onsite Data Collection: Work independently or with a team to collect training & validation data to local vision systems - for example introducing defect samples onto live conveyor lines based on priority lists.
• Record Keeping & Organization: Record precise timestamps for sample introduction retrieve and sort samples for future activities.
• Performance Recording: Track and tabulate system performance results - for example tallying the total defects introduced vs. total detected/ejected.
• Maneva Liaison: Act as the onsite representative ensuring all data collection protocols provided by Maneva deployment engineers are followed strictly.

Remote Data Annotation & Analysis

• Annotation Support: Perform high-volume image labeling to train and improve AI models.
• Documentation: Author clear structured annotation instruction documents based on onsite observations.
• Quality Assurance: Review existing annotations for accuracy and monitor deployed models for performance trends or inference issues.

Remote Data Annotation & Model Support

Annotation Execution:

• Perform structured high-volume image labeling to support AI model training and improvement.
• Maintain accuracy and consistency across large annotation datasets.

Annotation Guidelines Development:

• Translate onsite observations into clear structured annotation instructions.
• Help refine labeling standards based on real-world edge cases.

Quality Assurance:

• Review annotations for accuracy and consistency.
• Flag ambiguous or mislabeled examples.
• Monitor deployed model outputs for performance trends or inference issues.

Documentation & Reporting:

• Maintain organized validation logs and structured documentation.
• Provide concise summaries of onsite findings to support rapid model iteration.

• Eagerness to learn and adapt to new technologies and processes.

Scheduling & Structure

Flexible Hybrid Model

Onsite Assignments:

• Typically 38 hours per mission depending on production schedules.
• May require 24 hours notice (or less).
• Work may occur outside regular business hours including evenings and weekends.
• Occasional off-hour and weekend deployments should be expected.

Remote Work:

• When not deployed onsite hours will be allocated toward remote annotation and documentation tasks.

Guaranteed Weekly Hours:

• Option for 20 hours/week or 40 hours/week.

Contract Duration:

• Initial 3-month term with potential for extension based on project needs.

Requirements

Mobility:

• Must have reliable transportation.
• Willing to travel within a 2-hour radius of the GTA.

Industrial Environment Comfort:

• Comfortable working in live production environments (e.g. food manufacturing packaging processing facilities or similar industrial settings).

Adaptability:

• Able to work across multiple facilities with varying layouts processes and operational constraints.

Technical Attention to Detail:

• Strong ability to translate physical observations into structured digital documentation.
• Precise with timestamps counts and structured reporting.

Reliability & Responsiveness:

• Highly responsive to short-notice deployment calls.
• Disciplined in managing remote annotation workload independently.

Communication & Professionalism:

• Able to follow complex technical instructions from deployment engineers.
• Represents Maneva professionally in customer-facing environments.

Why Join Maneva

• Work with cutting-edge Vision AI & IoT solutionsthat powerautonomous manufacturing robotics and industrial automation.

• Opportunity to leadin a fast-growing AI companydriving real-world impact in industrial AI adoption.

• Travel opportunitiesto industrial sites tech conferences and research labs.

• Collaborate with world-class engineers & AI expertsin a dynamic innovation-driven environment.

Important Notice: Protecting Your Personal Information

We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information via email phone call or text message. We also do not require payment from applicants for any part of the hiring process.

If you are contacted by someone claiming to represent our company and asking for such information please do not respond. Instead report the incident to us immediately at