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Human Data Specialist (Remote)

Hire Feed
Remote, UAE
Full-time
Entry
Remote
$40 to $60 per hour
Discovered 2 weeks ago
Data annotation project managementAI/ML training datasetsData validationQuality controlTeam leadershipWorkflow optimization
Free

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Key skills for this role

Data annotation project managementAI/ML training datasetsData validation
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Role Overview

The employer is seeking a Human Data Specialist to oversee data collection, validation, and annotation processes.

The role includes managing human annotator teams and coordinating data standards with technical stakeholders.

Location and Work Arrangement

  • The position is remote and can be performed from anywhere.
  • The role is full-time and involves collaboration with international teams.

Compensation

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

Key Responsibilities

  • Design and implement data annotation guidelines for 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 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 role contributes to AI-driven solutions through high-quality human-annotated data.

The position supports remote collaboration with international teams and diverse project demands.

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