LLM Trainer
Recruitment Room →LLM Trainer at Recruitment Room is a contract role based in Remote · Barbados-19 (remote). The listing asks for 3–15 yrs of experience. Listed skills: Python, Java and JavaScript. It was published on 17 August 2026 and was open at last check.
| Role | LLM Trainer |
|---|---|
| Company | Recruitment Room |
| Location | Remote · Barbados-19 (remote) |
| Employment type | Contract |
| Experience asked | 3–15 yrs |
| Skills listed | Python, Java and JavaScript |
| Published | 17 August 2026 |
| Status | Open at last check |
LLM Trainer – Agent Function Calling
Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico
Job Type: Contractor
Contract Duration: 6 weeks
Commitment: 20, 30, or 40 hours per week
Schedule: Minimum 4 hours per day with 4 hours of PST overlap
About the Role
We’re looking for technically strong professionals to help improve the capabilities of advanced Large Language Models (LLMs), with a focus on AI agents and function calling.
You’ll create realistic, multi-turn conversations between users and AI assistants that use tools such as calendars, email, maps, and cloud storage to complete tasks.
The work involves simulating both sides of the interaction and creating high-quality examples that demonstrate effective reasoning, tool usage, contextual understanding, and natural communication.
What You’ll Do
- Design realistic multi-turn conversations involving AI assistants and external tools.
- Simulate both the user and assistant sides of conversations.
- Create and evaluate appropriate function calls when tools are required.
- Develop scenarios involving applications such as calendars, email, maps, and drive.
- Demonstrate how an AI assistant should handle complex tasks and real-world decision-making.
- Create examples where assistants successfully complete tasks, recognize limitations, or respond appropriately without using tools.
- Ensure conversations follow required formatting, quality, and consistency standards.
- Refine examples based on reviewer feedback.
- Collaborate with reviewers and other contributors to maintain high-quality deliverables.
Requirements
- Strong technical reasoning and logical problem-solving skills.
- Ability to break complex tasks into clear, realistic steps.
- Understanding of APIs, JSON, data formats, and tool-based workflows.
- Experience with any programming language or technical stack.
- Excellent written English and ability to create natural, coherent dialogue.
- Strong creativity and attention to detail.
- Ability to consistently follow detailed guidelines and formatting requirements.
- 3+ years of professional experience in a technical or analytical field.
Nice to Have
- Experience working with LLMs or generative AI.
- Familiarity with AI assistants or agentic systems.
- Experience with function calling or tool-use frameworks.
- Experience creating datasets, evaluations, or training examples for AI systems.
Engagement Details
- Hours: 20, 30, or 40 hours per week.
- Minimum: 4 hours per day.
- Time Zone: 4 hours of overlap with PST required.
- Contract: 6 weeks.
- Engagement: Contractor assignment.
- No medical or paid leave.
Who This Role Suits
This opportunity is a strong fit for technical professionals who understand how software, APIs, and structured data work and can translate that knowledge into realistic conversations between people and AI assistants.
You should be comfortable thinking through what an AI agent should do, which tools it should use, when it should use them, and how it should communicate with the user throughout the process.
Create a free OnJob profile to apply and see your AI match score before you apply. · Posted 17 Aug 2026.
LLM Trainer at Recruitment Room — questions answered
What does the LLM Trainer role at Recruitment Room pay?
Recruitment Room does not publish a salary on this LLM Trainer listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Is the LLM Trainer role at Recruitment Room remote?
Yes — Recruitment Room advertises this LLM Trainer role as remote, tied to Remote · Barbados-19, and it is listed as contract work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Recruitment Room before you apply.
What skills does the LLM Trainer role at Recruitment Room require?
The LLM Trainer at Recruitment Room listing names Python, Java and JavaScript. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
How much experience do you need for the LLM Trainer role at Recruitment Room?
Recruitment Room asks for 3–15 yrs of experience on this LLM Trainer posting, alongside Python, Java and JavaScript. Employers commonly consider candidates slightly under a stated band when the listed skills line up.
Is the LLM Trainer role at Recruitment Room still open?
The LLM Trainer posting at Recruitment Room was open at OnJob's last check of the employer's careers page, having been published on 17 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the LLM Trainer role at Recruitment Room?
Apply to the LLM Trainer at Recruitment Room role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile. Creating a profile is free and needs no card.
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