AI Data Quality Control Coordinator

14 hours, 15 minutes ago
Freelance
Mid Level
Artificial Intelligence and Machine Learning
Welo Global

Welo Global

Welo Global specializes in providing enterprise localization, AI training data, and multilingual content solutions, leveraging a portfolio of specialized global brands to meet diverse customer needs in the AI and language services industry.

Professional Services
Founded 1997

Description

  • Perform sampling and quality checks on annotated datasets across text, image, audio, and video formats.
  • Identify, log, and categorize annotation defects, including labeling errors, boundary issues, and misclassification.
  • Track corrective actions and rework tasks through closure and validate re-tests.
  • Coordinate onboarding, calibration, and refresher training sessions for annotators and reviewers.
  • Maintain annotation guidelines, SOPs, and rubrics with proper version control and communication.
  • Prepare client-ready quality reports with tables, charts, and summaries.
  • Liaise with Project Managers and Operations teams on timelines, reporting, and audit requirements.
  • Manage access permissions for annotation tools, QA platforms, and shared repositories.
  • Support vendor coordination by handling documentation requests, SLAs, and quality expectations.
  • Identify process gaps and recommend improvements to QA workflows, templates, and sampling approaches.

Requirements

  • Bachelor’s degree in any discipline; Data Science, Computer Science, Linguistics, or related fields are preferred.
  • 2–4 years of experience in Quality Control or Quality Assurance within AI data annotation, data labeling, or content moderation.
  • Strong understanding of annotation workflows such as bounding boxes, segmentation, classification, and transcription.
  • Familiarity with QA metrics including accuracy, precision/recall, F1 score, and inter-annotator agreement.
  • Proficiency in MS Excel or Google Sheets, including pivot tables, dashboards, and data analysis.
  • Experience with annotation tools such as Labelbox, CVAT, Scale AI, or similar platforms.
  • Exposure to NLP, Computer Vision, or Speech datasets.
  • Basic understanding of machine learning workflows and the data lifecycle.
  • Experience working with global clients and distributed or remote annotation teams.
  • Strong attention to detail, communication, coordination, and organizational skills in a fast-paced environment.

Benefits

  • Freelance remote role with the flexibility of working from anywhere.
  • Opportunity to contribute to cutting-edge AI projects.
  • Chance to build expertise in data quality and annotation processes.
  • Work on high-quality datasets that power intelligent systems.

Interested in this position?

Apply directly on the company website

Apply Now

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