AI English Writing Evaluator (New Zealand) Full-time

Outlier helps the world’s most innovative companies improve their AI models by providing human feedback. In this role, you will become an AI coach, assessing the quality of AI-generated writing, reviewing the work of fellow writers, and crafting original responses to prompts in order to teach the model what truly excellent writing looks like.

While we will be selective in terms of writing ability, we are actively recruiting for this role and encourage you to apply if you feel you would be a good fit. View this doc to get a sense of what the work is like. More questions? You’ll have an opportunity to speak with a member of our team during your onboarding. For now, here’s our team member Ruut talking about her experience with Outlier:

Highlights:

• Flexible work schedule: Work whenever and wherever you want
• Weekly payouts: Automatically receive timely payments (no invoicing!)
• Unlock opportunities: Gain experience in the field that will dominate the next decade and beyond

What you’ll be doing:

• Rating the quality of AI-generated writing on rubrics such as factuality, completeness, brevity, and grammatical correctness
• Reviewing the work of fellow human writers
• Responding to prompts with top-tier original writing

Requirements:

• Currently enrolled in or completed a Bachelor’s degree or higher from a selective university
• A strong sense of writing style paired with exceptional English-language spelling and grammar
• A critical eye and the ability to clearly explain the strengths and weaknesses of a given piece of text
• This opportunity is currently open to people who live in the following countries: New Zealand

Compensation

Up to $25 USD per hour pending resume review and skills assessment. Hourly pay is determined by multiple factors, including the expertise, experience, and skills needed for the project. Pay rates vary during the project lifecycle. Rates for completing initial project onboarding may be lower.

Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Pay rates vary during the project lifecycle. For example, rates for onboarding are lower.

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