Product Specialist (Brilliant Harvest)

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.