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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
- 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
- Understanding of heavy equipment in agriculture or construction
- 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
Key Skills
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