Role Overview:
We are hiring for one of our clients, seeking a Workflow Annotator — Software Engineering to work on a contract basis. The role involves annotating workflows to support software development and engineering processes. Candidates will evaluate and label data to improve AI model performance in workflow automation.
Key Responsibilities:
• Annotate software engineering workflows to ensure accurate data labeling for AI model training.
• Review and validate workflow steps to identify inconsistencies or errors in process documentation.
• Collaborate with software engineers to refine workflow annotations based on feedback.
• Maintain detailed records of annotated workflows for reference and future improvements.
• Ensure compliance with annotation guidelines and quality standards for AI training data.
Required Skills & Qualifications:
• Experience with data annotation, labeling, or similar roles in software engineering contexts.
• Familiarity with workflow diagrams, process documentation, or software development lifecycles.
• Attention to detail to identify discrepancies in workflow steps or annotations.
• Ability to follow structured guidelines for consistent data labeling.
• Basic understanding of AI/ML concepts and their application in software workflows.
• Proficiency in tools for workflow visualization or documentation (e.g., Lucidchart, Visio, or similar).
• Strong written communication skills to document annotations and provide feedback.
• Prior experience in software engineering, QA, or related technical fields is preferred.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the development of high-quality AI models for workflow automation. The position supports ongoing improvements in software engineering processes through precise data annotation.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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