Large Language Model Trainer (Remote)
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Key skills for this role
About the Role
We are hiring a Large Language Model Trainer to generate high-quality proprietary data for enhancing LLMs, focusing on simulating multi-turn conversations with function-calling tools.
Key Skills for This Role
Responsibilities
- Simulate high quality multi turn conversations between users and smart assistants that leverage function calling tools
- Play both roles in dialogues—user and assistant—while accurately simulating tool use
- Ensure generated dialogues align with defined agent behaviors and task completion metrics
- Collaborate with cross functional teams to refine evaluation datasets
- Maintain detailed documentation of generated data, including edge cases and reasoning pathways
Requirements
- Proficiency in Python with experience in data generation, processing, or annotation for AI training purposes
- Strong understanding of large language models, agent systems, and function calling workflows
- Familiarity with JavaScript or similar scripting languages for simulating interactions
- Ability to design and execute structured dialogue scenarios
- Experience with AI evaluation frameworks or datasets is a plus
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a LLM Trainer Agent Function Call to work on a Full time basis.
- This role involves generating high quality proprietary data to enhance large language models.
- The candidate will craft dialogues by acting as both the user and the assistant, incorporating tool use.
Key Responsibilities
- Simulate high quality multi turn conversations between users and smart assistants that leverage function calling tools.
- Play both roles in dialogues—user and assistant—while accurately simulating tool use.
- Ensure generated dialogues align with defined agent behaviors, task completion metrics, and real world problem solving scenarios.
- Collaborate with cross functional teams to refine evaluation datasets for benchmarking model performance.
- Maintain detailed documentation of generated data, including edge cases, tool interactions, and reasoning pathways.
Required Skills & Qualifications
- Proficiency in Python with experience in data generation, processing, or annotation for AI training purposes.
- Strong understanding of large language models, agent systems, and function calling workflows in AI applications.
- Familiarity with JavaScript or similar scripting languages for simulating user assistant interactions and tool integrations.
- Ability to design and execute structured dialogue scenarios that test agent reasoning, decision making, and tool utilization.
- Experience with AI evaluation frameworks or datasets is a plus.
More About the Opportunity
- Opportunity to work with a leading organization in the Artificial Intelligence industry.
- Contribute directly to the advancement of next generation language models.
- Global exposure to frontier AI research and real world deployment scenarios.
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