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Generalist (AI Training Specialist)

📅 Sep 7
Critical ThinkingAnalytical ReasoningProblem-solvingWritten Communication
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📜 Description

  • Analyze and review diverse datasets for AI training and validation.
  • Assess AI-generated outputs for relevance, accuracy, consistency, and quality.
  • Provide clear written input and constructive feedback to improve model performance.
  • Apply critical thinking and problem-solving across a broad range of subjects.
  • Follow project guidelines and quality standards while maintaining accurate deliverables.
  • Communicate findings clearly and manage assigned tasks independently and collaboratively.

🛠️ Requirements

  • Excellent written and spoken English communication skills.
  • Strong critical thinking, reasoning, and analytical abilities.
  • Exceptional attention to detail and a commitment to accuracy.
  • Ability to understand complex instructions and apply them consistently.
  • Strong problem-solving skills and the ability to evaluate information objectively.
  • Ability to work independently in a remote and fast-paced environment.
  • Strong organizational and time-management skills.
  • Willingness to learn new processes, tools, and subject areas.
  • Previous experience in data annotation, data labeling, content evaluation, quality assurance, research, or similar analytical work is an advantage.
  • Experience reviewing written content or evaluating information for accuracy and quality.
Full job description

This role is for one of our clients

$50 - $90/hourpay

Role Title: Generalist (AI Training Specialist)

Role Type: Contractor

Location: Remote

We are looking for detail-oriented and intellectually curious Generalists to contribute to the development and improvement of next-generation AI systems. In this role, you will apply your critical thinking, analytical abilities, and communication skills to evaluate information, review outputs, and provide high-quality input across a variety of topics.

Prior experience in artificial intelligence is not required. This opportunity is well suited for individuals who demonstrate strong reasoning abilities, attention to detail, adaptability, and a commitment to delivering accurate and high-quality work.

You will work in a remote, digital-first environment and collaborate on projects that require thoughtful analysis, clear communication, and the ability to approach problems from multiple perspectives.

Requirements

Key Responsibilities

  • Analyze, evaluate, and review diverse datasets to support AI system training and validation.
  • Provide clear, accurate, and high-quality written input based on project requirements and guidelines.
  • Review and assess AI-generated outputs for relevance, accuracy, consistency, and overall quality.
  • Identify areas for improvement and provide constructive feedback to enhance model performance.
  • Participate in tasks involving critical thinking, problem-solving, and analysis across a broad range of subjects.
  • Follow established project guidelines, processes, and quality standards to ensure consistent deliverables.
  • Contribute to quality assurance and review processes by maintaining a high level of accuracy and attention to detail.
  • Communicate observations, findings, and insights clearly through written and verbal channels.
  • Work independently while effectively collaborating with remote teams when required.
  • Manage assigned tasks efficiently and ensure timely completion of deliverables.

Required Qualifications

  • Excellent written and spoken English communication skills.
  • Strong critical thinking, reasoning, and analytical abilities.
  • Exceptional attention to detail and a commitment to accuracy.
  • Ability to understand complex instructions and apply them consistently.
  • Strong problem-solving skills and the ability to evaluate information objectively.
  • Ability to work independently in a remote and fast-paced environment.
  • Strong organizational and time-management skills.
  • Willingness to learn new processes, tools, and subject areas.

Preferred Qualifications

  • Previous experience in data annotation, data labeling, content evaluation, quality assurance, research, or similar analytical work is an advantage.
  • Experience reviewing written content or evaluating information for accuracy and quality.
  • Familiarity with digital collaboration tools and remote working environments.
  • Exposure to AI-related projects or technologies is beneficial but not mandatory.
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