
Product Specialist – Brilliant Harvest
Posted Jun 19

Posted Jun 19
This is a fully remote position, open to applicants in Canada.
• Review and input structured data from various documents and raw sources into our platform, including equipment service manuals, technical specifications, parts information, and operator guides.
• Utilize equipment domain expertise to ensure that data entries are technically precise, contextually relevant, and consistent with actual equipment usage in the field.
• Assign metadata, categories, and keywords to enhance searchability, consistency, and usability throughout the product.
• Verify the accuracy, completeness, and alignment of AI-generated or system-produced answers, recommendations, and outputs with the source documentation, flagging any misleading, incomplete, or technically incorrect information.
• Add contextual notes, corrections, or clarifications to enhance the precision and utility of product responses.
• Identify patterns, errors, or gaps in equipment data and escalate them as necessary to ensure nothing is overlooked.
• Act as a knowledgeable reviewer of product outputs, making sure that answers, search results, and recommendations reflect real-world equipment expertise rather than mere surface-level pattern recognition.
• Cross-reference product responses with source materials (service manuals, OEM documentation, technical bulletins) to validate factual accuracy.
• Develop and maintain a solid understanding of common equipment failure modes, maintenance procedures, and service workflows to better assess the quality of product outputs.
• Proactively identify instances where the product generates technically plausible yet incorrect, incomplete, or contextually missing answers regarding safety or procedures.
• Contribute to the development of internal QA checklists, rubrics, and benchmarks for evaluating answer quality over time.
• Collaborate closely with external partners to communicate requirements, provide clarifications, and ensure alignment with internal standards.
• Assist in managing work queues, assigning tasks (internally or externally), and tracking progress against deadlines.
• Critically review partner outputs for both process adherence and equipment accuracy, offering structured feedback and collaborating to continuously enhance quality.
• Help define, document, and refine data entry guidelines, workflows, and standard operating procedures, including equipment-specific guidelines for structuring and reviewing technical content.
• Identify inefficiencies in data processing workflows and suggest improvements.
• Monitor key metrics (accuracy rates, quality scores, throughput, turnaround time) and provide regular updates to stakeholders.
• Exceptional attention to detail and dedication to accuracy, particularly when dealing with technical content.
• Practical or professional experience with heavy equipment, especially in agriculture or construction, is highly regarded.
• Ability to read and interpret equipment service manuals, technical specifications, or parts documentation.
• Proficient in evaluating whether a technical answer is correct, rather than just assessing if it sounds correct.
• Capability to adhere to structured guidelines and apply them consistently across extensive volumes of content.
• Strong written communication skills.
• Comfortable working independently in a remote setting.
• Experience with data entry, annotation, or content management tools is advantageous — training will be provided.
• Basic project management or task coordination experience.
• Experience collaborating with third-party vendors or distributed teams.
• Familiarity with project tracking tools (e.g., spreadsheets, task management platforms).
• Ability to juggle multiple priorities and deadlines in a dynamic work environment.
• Join a proven team led by serial entrepreneur Remi Schmaltz, who has successfully exited two previous agriculture companies.
• Remote-first role with a flexible working environment.
• Opportunity to engage in significant projects within the expanding field of data and information management.
• Contribute to an innovative product team that is shaping the future of AI in the large equipment sector.
• A collaborative culture that prioritizes growth, learning, and impactful contributions.
• Competitive compensation, ESOP, and benefits.
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