top of page
< Back

AI Evaluation Specialist

$30–$90/h

Australia / Canada / Ireland / New Zealand / United Kingdom / United States

Catalogue update: this role is no longer listed in the current Micro1 catalogue. Browse current AI Training opportunities.

About the role

Assess enterprise AI-assistant outputs using a consistent quality framework. The work combines careful scoring with practical recommendations for model improvement.

Skills and focus areas

AI agents · rubric-based evaluation · quality assurance

What you will do

  • Judge whether answers are accurate, relevant and compliant with the instructions.
  • Identify logical gaps and failures involving tool use.
  • Explain strengths and weaknesses in written feedback.
  • Discuss ambiguous scoring decisions and maintain traceable evaluation records.

Experience and requirements

  • Experience in grading, QA, editing, assessment or similar analytical review.
  • Advanced daily use of AI assistants for work.
  • Strong written English and the ability to assess many examples consistently.

Working arrangements

  • Remote contractor work for eligible residents of the US, Canada, UK, Ireland, Australia or New Zealand.

Similar jobs

Explore related opportunities on Sporterer.

AI Agent Power User
AI Evaluation & Generalist · $30–$90/h
Australia / Canada / Ireland / New Zealand / United Kingdom / United States

AI Domain Expert
AI Evaluation & Generalist · $140–$200/h
Bangladesh / Hong Kong / India / Indonesia / Japan / Kazakhstan / Kyrgyzstan / Malaysia / Pakistan / Philippines / Singapore / Sri Lanka / Taiwan / Thailand / Uzbekistan / Vietnam / Austria / Belarus / Belgium / Denmark / France / Germany / Greece / Italy / Netherlands / Portugal / Russia / Spain / Switzerland / United Kingdom / Argentina / Brazil / Chile / Colombia / Mexico / Peru / Algeria / Bahrain / Egypt / Iraq / Jordan / Kuwait / Lebanon / Libya / Morocco / Oman / Palestine / Qatar / Saudi Arabia / Tunisia / United Arab Emirates / United States / Canada / Nigeria / Kenya / South Africa / Ghana / Ethiopia

Evaluation Specialist/Recent Grad
AI Evaluation & Generalist · $20–$60/h
Bangladesh / Hong Kong / India / Indonesia / Japan / Kazakhstan / Kyrgyzstan / Malaysia / Pakistan / Philippines / Singapore / Sri Lanka / Taiwan / Thailand / Uzbekistan / Vietnam / Austria / Belarus / Belgium / Denmark / France / Germany / Greece / Italy / Netherlands / Portugal / Russia / Spain / Switzerland / United Kingdom / Argentina / Brazil / Chile / Colombia / Mexico / Peru / Algeria / Bahrain / Egypt / Iraq / Jordan / Kuwait / Lebanon / Libya / Morocco / Oman / Palestine / Qatar / Saudi Arabia / Tunisia / United Arab Emirates / United States / Canada / Nigeria / Kenya / South Africa / Ghana / Ethiopia

Generalist Expert (US/Canada)
AI Evaluation & Generalist · $50–$70/h
Canada / United States

You’ll be redirected to our partner’s application page

AI TRAINING OPPORTUNITY

bottom of page
Sporterer
OPEN OPPORTUNITIES

AI Training Opportunities

Loading opportunities…

Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →