Elevating business through AI.
Product Specialist – Brilliant Harvest
Location
Canada
Posted
9 days ago
Salary
0
Seniority
Senior
Job Description
Product Specialist – Brilliant Harvest
AltaML
• 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. • 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. • 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. • 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.
Job Requirements
- 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.
Benefits
- 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.
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