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Human Data Specialist (Remote)

Hire Feed
Remote, UAE
Full-time
Entry
Remote
$40-$60 per hour
Discovered 1 weeks ago
Data annotation project managementAI/ML training datasetsData validationData quality controlLeadershipLabel Studio
Free

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Data annotation project managementAI/ML training datasetsData validation
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Role Overview

The employer is hiring a Human Data Specialist for a client on a full-time basis.

The role oversees data collection, validation, and annotation processes for high-quality AI model training datasets.

The position manages human annotator teams and coordinates with technical stakeholders on data standards and project objectives.

Compensation

  • The stated payout is $40-$60 per hour.

Workplace

  • The role is remote and described as work from anywhere.
  • The position requires remote collaboration with international teams.

Key Responsibilities

  • Design and implement data annotation guidelines to maintain consistency and accuracy across datasets.
  • Lead and mentor human annotators while ensuring adherence to project timelines and quality benchmarks.
  • Collaborate with cross-functional teams to identify data requirements for AI model training and evaluation.
  • Monitor annotation workflows for efficiency, scalability, and alignment with client-specific standards.
  • Contribute to data quality assessment frameworks and performance metrics.

Required Skills and Qualifications

  • Experience managing large-scale data annotation projects focused on AI or machine learning training datasets.
  • Proficiency in data validation techniques and quality control processes for structured and unstructured data.
  • Strong leadership skills to guide annotator teams and optimize workflow performance.
  • Familiarity with Label Studio, Prodigy, or similar annotation platforms.
  • Ability to interpret technical requirements and translate them into clear annotation instructions.

Opportunity Context

The opportunity is with a global leader in the technology, information, and internet industry.

The role contributes to AI-driven solutions through high-quality human-annotated data.

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