We are seeking a detail-oriented Data Annotator to join our team at Brilliant Harvest. This role is central to transforming documents and raw data into structured, meaningful, and usable information. By adding context, verification, and precision, you will ensure the quality and reliability of our data assets, supporting downstream processes and analytics.

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.