Data Operations Specialist

Key Responsibilities

Annotation:
• 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.
Project Coordination:
• Third-Party Vendor Management:  Work closely with external annotation partners to communicate requirements, provide clarifications, and ensure alignment with internal standards.
• Task Prioritization & Tracking:Help manage annotation queues, assign work (internally or externally), and track progress against deadlines.
• Feedback & Iteration Loops: Review vendor outputs, provide structured feedback, and collaborate to continuously improve quality and efficiency.
Data Document Ingestion Operations:
• Process Documentation:Help define, document, and refine annotation guidelines, workflows, and standard operating procedures.
• Workflow Optimization:Identify inefficiencies in annotation or data processing workflows and recommend improvements.
• Reporting & Metrics:Track key metrics (quality, throughput, turnaround time) and provide updates to stakeholders.
  

Qualifications & Skills

• 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.
• Basic project management or task coordination experience.
• Experience working with third-party vendors or distributed teams.
• Familiarity with project tracking tools (e.g., spreadsheets, task management platforms).
• Ability to manage multiple priorities and deadlines in a fast-paced environment.

What Will Set You Apart?

• Understanding of heavy equipment in agriculture or construction

• Experience supporting data operations, annotation workflows, or AI/ML data pipelines

• Strong organizational skills with a process-oriented mindset

Why Join Us?

• 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.