AI Data Quality Specialist – AI Trainer

Zim Directory

United States

Remote

USD 42.000 - 52.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Zim Directory is seeking detail-oriented professionals to review AI-generated content and annotated data for accuracy, clarity, and consistency. The role fits editors, teachers, instructional designers, QA researchers, or AI data annotators.

You will apply guidelines, identify subtle errors, and explain decisions clearly. Responsibilities include written feedback, image comparison when required, and maintaining consistent judgments across long tasks.

Qualifikationen

  • Backgrounds in editing, teaching, instructional design, QA, research, or AI data annotation.

Aufgaben

  • Review AI-generated responses and annotated data against project guidelines and scoring rubrics.
  • Identify errors, inconsistencies, unsupported statements, and cases that require further review.
  • Write clear, specific feedback explaining what is incorrect and how it should be improved.
  • Maintain consistent judgments across lengthy tasks and multiple documents.
  • Incorporate feedback and calibrate to project standards.

Kenntnisse

Editing
Teaching
Instructional Design
Quality Assurance
Research
AI Data Annotation

Jobbeschreibung

Headquarters: California
URL: https://imerit.ai/

About the opportunity

We’re seeking detail-oriented professionals to review AI-generated content and annotated data for accuracy, clarity, and consistency. This role is well suited to candidates with backgrounds in editing, teaching, instructional design, quality assurance, research, or AI data annotation.

You will apply detailed written guidelines, identify subtle errors, and explain your decisions clearly. Assignments may include written content, image comparisons, and other evaluation tasks that require sustained focus and independent judgment.

What you will do
  • Review AI-generated responses and annotated data against project guidelines and scoring rubrics.
  • Identify errors, inconsistencies, unsupported statements, and cases that require further review.
  • Write clear, specific feedback explaining what is incorrect and how it should be improved.
  • Compare images or video frames to identify subtle visual differences, where required.
  • Maintain consistent judgments across lengthy tasks and multiple documents.
  • Incorporate feedback and participate in calibration exercises to align with project standards.
  • Flag unclear guidelines and recommend improvements to rubrics, SOPs, or review instructions.
  • Manage assignments independently and meet agreed quality and delivery expectations.
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