canada altaml Jobs – 13 Openings This Week

Product Specialist (Brilliant Harvest)
AltaML —Remote
- Full-time
- Remote
- Project management
- Data entry
- Organizational skills
DevOps Engineer
AltaML —Edmonton, AB
- Full-time
- Hybrid work
- Computer science
- Azure
- Doctoral degree
Manager, Software Engineering
AltaML —Calgary, AB
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- DevOps
- Engineering
2h
Director, Client Success
AltaML —Edmonton, AB
- Full-time
- Project management
- Machine learning
- Product management
14d
Intermediate Full Stack Software Engineer
AltaML —Toronto, ON
- $90,000–$110,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Doctoral degree
Senior Full Stack Software Engineer
AltaML —Toronto, ON
- $130,000–$150,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science

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Manager, Software Engineering
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Support pre-sales and business development by providing low-level solution architecture, demos, and technical Q&A on calls.
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Intermediate Full Stack Software Engineer
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Product Specialist (Brilliant Harvest)

AltaML
Remote

Apply Now

Job details

Full-time

Skills

Project management
Data entry
Organizational skills
Metadata
AI
Communication skills

Full job description

About the Role

We are seeking a detail-oriented Product Specialist to join our team at Brilliant Harvest. This role sits at the intersection of product and operations — you'll work closely with our product team to ensure the quality, structure, and reliability of the data that powers our platform. A core part of this role involves applying hands-on knowledge of heavy equipment to validate, enrich, and quality-check the information our product surfaces to customers. Through data entry, content review, and workflow coordination, you'll play a key role in shaping how equipment knowledge flows through our product and reaches the technicians, operators, and dealers who depend on it.

In addition to core product and data entry work, this role will also support coordination with third-party partners and contribute to operational processes that keep our data workflows efficient and scalable.

Key Responsibilities

Product & Data Entry:

Review and enter structured data from documents and raw sources into our platform, including equipment service manuals, technical specifications, parts information, and operator guides.
Apply equipment domain knowledge to validate that data entries are technically accurate, contextually correct, and consistent with how equipment is actually used in the field.
Assign metadata, categories, and keywords to improve searchability, consistency, and usability across the product.
Verify that AI-generated or system-produced answers, recommendations, and outputs are accurate, complete, and aligned with the source documentation — flagging anything misleading, incomplete, or technically incorrect.
Add contextual notes, corrections, or clarifications to improve the accuracy and usefulness of product responses.
Identify patterns, errors, or gaps in equipment data and escalate appropriately to ensure nothing falls through the cracks.

Quality Assurance & Answer Accuracy:

Serve as a domain-informed reviewer of product outputs, ensuring that answers, search results, and recommendations reflect real-world equipment knowledge and not just surface-level pattern matching.
Cross-reference product responses against source materials (service manuals, OEM documentation, technical bulletins) to confirm factual accuracy.
Develop and maintain a working understanding of common equipment failure modes, maintenance procedures, and service workflows to better evaluate the quality of product outputs.
Proactively identify cases where the product is producing answers that are technically plausible but incorrect, incomplete, or missing important safety or procedural context.
Contribute to building internal QA checklists, rubrics, and benchmarks for evaluating answer quality over time.

Project Coordination:

Work closely with external partners to communicate requirements, provide clarifications, and ensure alignment with internal standards.
Help manage work queues, assign tasks (internally or externally), and track progress against deadlines.
Review partner outputs with a critical eye for both process compliance and equipment accuracy, providing structured feedback and collaborating to continuously improve quality.

Operations & Process Support:

Help define, document, and refine data entry guidelines, workflows, and standard operating procedures — including equipment-specific guidelines for how technical content should be structured and reviewed.
Identify inefficiencies in data processing workflows and recommend improvements.
Track key metrics (accuracy rates, quality scores, throughput, turnaround time) and provide regular updates to stakeholders.

Qualifications & Skills

Strong attention to detail and commitment to accuracy, especially when working with technical content.
Hands-on or professional familiarity with heavy equipment — particularly in agriculture or construction — is highly valued.
Ability to read and interpret equipment service manuals, technical specifications, or parts documentation.
Comfortable evaluating whether a technical answer is correct, not just whether it sounds correct.
Ability to follow structured guidelines and apply them consistently across large volumes of content.
Strong written communication skills.
Comfortable working independently in a remote environment.
Experience with data entry, annotation, or content management tools is an asset — training will be provided.
Basic project management or task coordination experience.
Experience working with third-party vendors or distributed teams.
Familiarity with project tracking tools (e.g., spreadsheets, task management platforms).
Ability to manage multiple priorities and deadlines in a fast-paced environment.

What Will Set You Apart?

Direct experience working with or around heavy equipment — as a technician, operator, parts advisor, service writer, or in a similar hands-on capacity.
The ability to spot when a product answer is technically off, even when it's grammatically perfect.
Experience supporting data operations, annotation workflows, or AI/ML data pipelines.
Familiarity with OEM documentation, equipment telematics, or dealer service systems.
Strong organizational skills with a process-oriented 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 a flexible work environment.
Opportunity to contribute to meaningful projects in the growing field of data and information management.
Contribute to an innovative product team shaping the future of AI in the large equipment space.
A collaborative culture that values growth, learning, and impact.
Competitive compensation, ESOP, and benefits.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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altaml jobs in canada

Product Specialist (Brilliant Harvest)

DevOps Engineer

Manager, Software Engineering

Director, Client Success

Intermediate Full Stack Software Engineer

Senior Full Stack Software Engineer

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