What You'll Do:

• Data Labeling: Tag and annotate documents, objects, and text (e.g., highlighting key information in equipment service manuals, identifying entities, or marking relevant sections).
• Metadata Creation: Assign categories, keywords, and structured data to improve searchability, consistency, and usability.
• Quality Control: Verify labels, annotations, and metadata against established standards and guidelines.
• Contextual Notes: Add explanations, highlights, or corrections to improve clarity and accuracy.
• Pattern Identification: Detect anomalies, errors, or unique features within datasets and flag them appropriately.

What You Bring:

• Strong attention to detail and commitment to accuracy.
• Ability to follow structured guidelines and apply them consistently.
• Familiarity with digital documents, data management, or information processing.
• Strong written communication skills.
• Comfortable working independently in a remote environment.
• Experience with annotation, labeling, or metadata tools is an asset and training will be provided.

What Will Set You Apart?

• Understanding of heavy equipment in agriculture or construction

Why Brilliant Harvest?

• 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.
• Competitive compensation, ESOP and benefits.