LLM Agent Function-Call Dialogue Trainer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain helps people start and grow careers in AI training and data labeling, where human contributors create the examples and feedback that improve modern AI systems.

  • Apply through OpenTrain for a contractor, part-time opportunity.
  • Build experience in a fast-growing area of technology.

About AI Assistant Training

Large language models learn from carefully prepared examples of how people ask questions, use tools, and complete tasks. Dialogue trainers help shape this behavior by writing realistic conversations, selecting appropriate function calls, and showing how assistants should respond when tools are useful or unnecessary.

  • Work on training data for fine-tuning and evaluating large language models.
  • Support assistant behavior that is logical, natural, context-aware, and useful.

The Role

OpenTrain is recruiting an LLM agent function-call dialogue trainer to create high-quality multi-turn conversations for assistant training. You will simulate both sides of the exchange, model realistic tool use, and produce examples covering feasible tasks, infeasible requests, and engaging general chat without tools.

This intermediate-level contractor role requires a commitment of 20+ hours per week. It is available to candidates in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, and Mexico, with English as the working language.

  • Contractor and part-time engagement
  • 20+ hours per week
  • Working language: English
  • Eligible countries: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, and Mexico

What You’ll Do

You will create dialogue datasets that demonstrate how an AI assistant should understand context, decompose tasks, and use app-based tools appropriately. Examples may involve calendars, email, maps, drive, and similar workflows. You will also revise your work in response to feedback and collaborate with reviewers to maintain consistent quality.

  • Design realistic multi-turn dialogues between users and AI assistants.
  • Play both the user and assistant roles, including assistant tool calls when needed.
  • Create examples involving calendar, email, maps, drive, and similar applications.
  • Demonstrate logical tool selection, contextual understanding, and clear conversational flow.
  • Follow formatting and quality guidelines consistently.
  • Revise examples based on feedback and collaborate with reviewers.

Requirements

This role is suited to someone who can combine technical reasoning with strong written communication. You should be comfortable modeling tool-based assistant behavior and breaking complex requests into realistic conversational steps.

  • Strong technical reasoning and comfort modeling tool-based assistant behavior.
  • Ability to decompose complex tasks into realistic conversational steps.
  • Familiarity with APIs and JSON.
  • Logical thinking and attention to detail.
  • Excellent written English and instructional clarity.
  • Creativity and consistency when following guidelines.
  • At least 3 years of professional experience in a technical or analytical field.
  • Experience with LLMs, virtual assistants, or function-calling frameworks is a plus.

Why This Work Matters

AI training and data labeling are the human side of building artificial intelligence. Contributors write, review, and evaluate the examples that influence how state-of-the-art models understand requests and behave in real interactions.

This work offers a way to apply technical and communication skills to cutting-edge AI development. Many AI training projects are remote and flexible, making the field accessible to people building experience alongside other commitments.

  • Help improve how AI assistants reason about tasks and tools.
  • Contribute directly to the development of large language models.
  • Use a combination of technical analysis, creativity, and precise writing.

How to Apply

Create a free OpenTrain account and apply in minutes. Review the role details carefully, confirm that you meet the country, language, experience, and availability requirements, and submit your application through OpenTrain.

  • Confirm availability for 20+ hours per week.
  • Prepare to demonstrate clear English dialogue writing and logical task decomposition.
  • Apply through OpenTrain for consideration as an LLM agent function-call dialogue trainer.
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