Key Responsibilities
- 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.
- 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.
- 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.
Top Skills
What We Do
AltaML is a leading developer of AI-powered solutions. Working with organizations that want to leverage their data using artificial intelligence (AI), AltaML develops solutions that create operational efficiency, reduce risk, and generate new sources of revenue. Through a deep understanding of organizational pain points and challenges, AltaML develops solutions that encompass the entire machine learning (ML) life cycle, from evaluating potential use cases and determining feasibility, to piloting solutions, putting code into production, and ensuring models evolve over time.
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