This is a Generalist AI Trainer role with Mercor based in Sydney, NSW, Australia

== Mercor ==

Role Seniority - intern, graduate

Role Overview

More about the Generalist AI Trainer role at Mercor

Mercor is collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.

Key Responsibilities

• Synthesize information from large volumes of data
• Annotate and categorize text, images, and other data according to detailed guidelines
• Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
• Flag inconsistencies, ambiguities, or errors in datasets
• Contribute to the improvement of AI systems through consistent annotation work
  
  

Ideal Qualifications

• Ability to synthesize complex or high-volume information into structured formats
• Strong critical reasoning, reading comprehension, and written communication skills
• Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
• A college degree and experience with data annotation projects
  
  

More About The Opportunity

• Expected commitment: ~20 hours/week
  
  

Application Process

• Submit your resume to begin
• Complete a Training Assessment
  
  

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.
  
  

Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Mercor team will be there to support your growth.

🟢 Please consider applying even if you don't meet 100% of what’s outlined 🟢

Key Responsibilities

• 📊 Synthesizing information
• 📝 Annotating and categorizing data
• 🚩 Flagging inconsistencies
  
  

Key Strengths

• 🔍 Information synthesis
• 🧠 Critical reasoning
• 📚 Experience with rubrics
• 🎓 Data annotation experience
  
  

Why Mercor is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.

A Final Note: This is a role with Mercor not with Hatch.