AI Data Quality Analyst & Feedback Specialist

Obsidian; San Diego (CA); Remote; USD 34.000 - 55.000; Teilzeit

Zusammenfassung

Obsidian is hiring Quality Analysts on a contract basis to help ensure the accuracy, consistency, and reliability of data. You’ll review outputs, flag issues, and maintain a high bar for quality across projects.

You’ll work asynchronously with a distributed team across time zones, providing structured feedback to contributors and stakeholders, and helping refine quality processes and checklists to improve evaluation criteria.

Qualifikationen

• Proven experience in quality assurance, quality control, or a similar review-focused role.
• Strong attention to detail and a sharp eye for errors others miss.
• Excellent written communication and the ability to give clear, constructive feedback.
• Comfort with ambiguity and evolving standards in a fast-moving environment.
• Reliable internet connection and a quiet, focused workspace.
• Familiarity with data annotation, content review, or evaluation workflows.
• Experience working with distributed or remote teams.
• Background in a domain relevant to the work (e.g., technical, editorial, or analytical).

Aufgaben

• Review work product against defined quality standards, rubrics, and guidelines
• Identify errors, inconsistencies, and gaps, and document them clearly
• Provide structured, actionable feedback to contributors and stakeholders
• Track quality metrics and surface recurring issues or trends
• Help refine and improve quality processes, checklists, and evaluation criteria
• Collaborate asynchronously with a distributed team across time zones

Kenntnisse

QA experience

Attention to detail

Written communication

Feedback delivery

Remote collaboration

Jobbeschreibung

Obsidian is hiring Quality Analysts on a contract basis to help ensure the accuracy, consistency, and reliability of data. You’ll review outputs, flag issues, and maintain a high bar for quality across projects.

You’ll work asynchronously with a distributed team across time zones, providing structured feedback to contributors and stakeholders, and helping refine quality processes and checklists to improve evaluation criteria.