Sociology QA Lead – Remote

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Company NameYO IT Consulting
Company TypePrivate
Job TypeFull-Time
Salary RangeMarket Competitive
LocationArmenia
QualificationsNone / No Formal Education
Experience5 Year+

Job Overview

YO IT Consulting is seeking a Sociology QA Lead for a remote position based in Armenia. This role involves leading quality assurance efforts for artificial intelligence and machine learning solutions, with a critical focus on the sociological and ethical implications of technology.

Company Overview

YO IT Consulting is a private IT consulting firm dedicated to developing, deploying, and integrating artificial intelligence (AI), including machine learning (ML), data analytics, automation, natural language processing (NLP), and computer vision. The company’s core mission is to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across various industries.

Quick Details

  • Salary Range: Market Competitive
  • Job Type: Full-time
  • Qualifications: none
  • Experience: 5 Year+

Key Responsibilities

  • Lead quality assurance efforts for AI/ML models and data, focusing on sociological and ethical implications.
  • Develop and implement QA strategies to identify bias, fairness, and other societal impact issues in AI systems.
  • Collaborate closely with AI engineers, data scientists, and product teams to integrate sociological perspectives into development.
  • Design and execute comprehensive test plans to ensure AI solutions meet quality standards and ethical guidelines.
  • Provide expert guidance on best practices for responsible AI development and deployment.

Requirements

  • Proven experience in Quality Assurance, preferably within AI/ML systems or related technology fields.
  • Strong understanding of sociological concepts, ethics, and potential biases in artificial intelligence.
  • Excellent analytical, critical thinking, and problem-solving skills.
  • Exceptional communication and collaboration abilities, crucial for a remote team environment.
  • Ability to work independently, manage multiple QA projects, and drive initiatives.
  • Familiarity with NLP, computer vision, or data analytics is a significant advantage.

Benefits

  • Opportunity to work on cutting-edge AI and ML technologies with a focus on ethical development.
  • Flexible remote work environment, allowing for work-life balance.
  • Be part of a mission-driven company committed to responsible and intelligent solutions.
  • Continuous learning and professional development opportunities in a rapidly evolving field.
  • Competitive salary and a comprehensive benefits package.
  • Collaborative, innovative, and inclusive team culture focused on making a real impact.

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