Gramian Consulting
Gramian Consulting
Gramian Consulting is a remote-first consulting firm focused on engineering, data, and AI talent. It helps organizations expand technical capacity through talent augmentation, recruiting, dedicated teams, and contractor management, while providing services such as LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure. The firm also supports individual career development through mentorship and education programs covering career readiness, interview preparation, and international market orientation. Its work combines hands-on engineering and recruiting experience to help clients build technical teams and apply AI to business needs.

AI Data Annotation Quality Reviewer

Leads quality review for AI training data at Gramian Consulting. Oversees reviewers, audits, feedback, training, and process improvements across remote project teams.

Description

  • Lead QA reviewers and coordinate audit and review queues to complete assigned work accurately and on time.
  • Sample annotated data and reviewer decisions to check alignment with project guidelines and quality standards.
  • Give reviewers and annotators clear, practical, consistent feedback.
  • Hold office hours to explain annotation guidelines, review criteria, and quality expectations.
  • Track quality scores, error patterns, audit findings, and reviewer performance.
  • Train and onboard reviewers in project guidelines, tools, and review procedures.
  • Find recurring errors, inconsistencies, and process gaps, then recommend corrective steps.
  • Refer ongoing quality concerns, unclear guidelines, and complex cases to the Senior QA Lead.
  • Improve review processes and promote consistent quality across the team.

Requirements

  • Bring 3–5 years of overall professional experience, including at least one year leading, mentoring, or supervising reviewers or team members.
  • Pay close attention to detail and apply complex guidelines consistently.
  • Communicate effectively in writing and verbally.
  • Provide constructive, actionable feedback and explain quality expectations clearly.
  • Stay organized while managing multiple review queues and competing deadlines.
  • Recognize error patterns and support corrective action.
  • Be available for the specified schedule throughout the 16-week project.

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