Creative Writers - Freelance AI Trainer

What this opportunity involves

• This project requires you to put yourself in the position of a range of different user personas and engage in realistic multi-turn conversations with LLMs, working towards a clearly defined goal.
• You will need to:
• use a range of tones and registers,
• stress-test the models’ ability to respond adequately based on several abstract dimensions (e.g. instruction-following, emotional intelligence, consistency under changing constraints), and
• react and adapt to model output while maintaining tight focus on each individual task’s requirements.
• Think of yourself as a controlled adversary, crafting plausible human dialogue that exposes subtle model weaknesses while maintaining narrative coherence.

For this, you will need to:

• Think like a storyteller and a tester
• Understand how humans actually speak, hesitate, contradict themselves, and escalate emotionally
• Be able to deliberately engineer conversational pressure without breaking realism
• Be methodical enough to document observations clearly and consistently
• Be able to pinpoint failure modes and LLM patterns

What we look for

• This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects.
• Ideally, contributors will have:
• an under- or postgraduate qualification in an Arts-based subject (English, Creative Writing, Journalism, MFL, Psychology, Cognitive Science), related field, or work experience at an equivalent level; or 1+ years’ experience in Conversational AI Testing, Narrative Design, or Adversarial Model Testing
• C2-level English (CPE, TOEFL 114+, IELTS 8.0 or above)

Nice to have

• Conversational UX / dialogue design experience
• An understanding of prompt engineering or LLM evaluation
• Experience with QA testing for complex systems
• A background in narrative design, interactive fiction, or screenwriting
• A qualification in, or professional experience with, behavioural research, psychology, or linguistics
• Demonstrated familiarity with LLM behaviour, failure modes, and evaluation concepts
• Experience working with structured guidelines, rubrics, or annotation frameworks

How it works

• Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

• For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Payment

• Paid contributions, with rates up to $23/hour*
• Fixed project rate or individual rates, depending on the project
• Some projects include incentive payments