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AI Trainer (Remote)

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Remote · Full Time

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Any
Salary
Openings
1
Posted
42 minutes ago
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Work from home
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Job description

Role Overview

We are looking to onboard an AI Trainer to support enhancing large language models by producing high-quality proprietary data tailored for fine-tuning and evaluation. The position involves simulating multi-turn conversations where AI assistants utilize function-calling tools to achieve user objectives.

Key Responsibilities

  • Create multi-turn conversation simulations that represent authentic interactions between users and AI assistants employing tools such as calendar, email, maps, and drive.
  • Actively simulate both user and assistant roles, incorporating assistant tool invocations as necessary to make corrections.
  • Determine appropriate moments and methods for the assistant to apply available tools, ensuring logical dialogue flow and effective function call utilization.
  • Develop dialogues that reflect natural language use, intelligent reasoning, and contextual awareness across multiple turns.
  • Refine conversation samples based on feedback to enhance realism, clarity, and training effectiveness.

Required Qualifications & Skills

  • Proficient in programming languages such as Python, Java, or JavaScript for scripting and data production tasks.
  • Experience in designing multi-turn dialogues and simulating natural language interactions.
  • Capability to emulate AI assistant actions, including the use of tools and function calls.
  • Understanding of formatting protocols and quality criteria for training datasets.
  • Keen attention to detail to produce realistic and coherent conversational content.

About the Employer

This opportunity allows you to collaborate with a global leader in Technology, Information, and Internet sectors, playing a key role in pushing the boundaries of AI model development.

Equal Opportunity Statement

The employer is committed to hiring based strictly on skill and experience, welcoming all qualified individuals regardless of background or prior employment. Applications are evaluated purely on technical expertise and qualifications demonstrated.

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