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AI Data Science Domain Expert

$100–$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

Catalogue update: this role is no longer listed in the current micro1 catalogue. Browse current AI Training opportunities.

About the role

Contribute specialist knowledge to an AI project focused on AI Data Science Domain Expert. The client uses professional input to assess and improve the quality of model performance.

Skills and focus areas

critical thinking · analytical reasoning · attention to detail · quality assurance · written communication · technica documentation · prompt authoring & refinement · AI Output Evaluation · Professional Writing · Report Writing · Business Communication · Problem Solving · Content Review · Data Interpretation · Logical Resoning · Professional Editing · Independent Research · Data Annotation · Rubric-Based Evaluation · Content Evaluation · AI Model Evaluation · Fact Checking · RLHF · Technical Editing · Prompt Engineering

What you will do

  • Assess model-produced work and explain substantive errors, omissions or weak reasoning.
  • Define consistent quality criteria and explain how work should be assessed.
  • Produce clear professional documentation that makes reasoning and decisions understandable.
  • Build or assess financial analyses, checking assumptions and the business implications.

Experience and requirements

  • Relevant areas of expertise: critical thinking, analytical reasoning, attention to detail, quality assurance.
  • The client specifies: “3+ years of professional experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.”

Working arrangements

  • The engagement is offered on a contractor basis.

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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.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
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 →