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In this role, you’ll take real-world equipment manuals, documents, and raw data and help turn them into clean, organized, and usable information. Think of it like organizing the shop—making sure everything is in the right place, labeled correctly, and easy for the next person to use.
You’ll also work with outside partners and help keep projects moving, making sure everyone is aligned and getting quality work done on time.
Key Responsibilities
Data Labeling: Review equipment manuals and documents, tagging key details (like publication date, part number, models applicable, etc..) so they’re easy to find and use later.
Metadata Creation: Add categories, keywords, and structure—like sorting tools into the right drawer—so data is consistent and searchable.
Quality Control: Double-check work to make sure everything is accurate and meets standards.
Contextual Notes: Add helpful notes or clarifications to improve understanding for others down the line.
Pattern Identification: Spot anything unusual, incorrect, or worth flagging—just like catching an issue before it becomes a bigger problem in the field.
Third-Party Vendor Management: Work with outside teams doing similar work—answer questions, give direction, and make sure their output meets expectations.
Task Prioritization & Tracking: Help organize the workload, assign tasks, and keep things moving toward deadlines.
Feedback & Iteration Loops: Review completed work, give clear feedback, and help improve processes over time.
Process Documentation: Help build and improve step-by-step processes so work is consistent and repeatable.
Workflow Optimization: Look for ways to make tasks faster, smoother, and more efficient.
Reporting & Metrics: Track progress (quality, speed, volume) and share updates with the team.
Annotation:
Data Document Ingestion Operations:
Qualifications & Skills
Strong attention to detail—you notice the small stuff others miss.
Ability to follow clear processes and stay consistent.
Comfortable working with digital documents and data.
Strong written communication skills.
Able to work independently in a remote setup.
Familiarity with agriculture or heavy equipment (farm background is a big plus).
Basic project management or task coordination experience.
Experience working with external teams or vendors is helpful.
Comfortable using spreadsheets or task tracking tools.
Able to juggle multiple priorities and deadlines.
What Will Set You Apart?
Experience with data annotation, labeling, or similar tools (we’ll train you if not).
Exposure to data operations, workflows, or AI-related projects.
Strong organizational habits and a “get-it-done-right” mindset.
Why Join Us?
Join a proven team led by serial entrepreneur, Remi Schmaltz that has successfully exited 2 previous agriculture companies.
Remote-first role with flexible work environment.
Opportunity to contribute to meaningful projects in the growing field of data and information management.
The opportunity to contribute to an innovative product team shaping the future of AI used in the large equipment space.
A collaborative culture that values growth, learning, and impact.
AltaML Calgary, Alberta, CAN Office
150 9 Ave SW, #2020, Calgary, Alberta, Canada, T2P 3H9
