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Computer Systems Analyst

$60–$120/h

United States

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 Computer Systems Analyst. The client uses professional input to assess and improve the quality of model performance.

Skills and focus areas

Systems Analysis · Requirements Gathering · SQL · Business Process Modeling · Troubleshooting

What you will do

  • Apply clinical judgment to cases, documentation or model responses and explain the evidence.

Experience and requirements

  • Relevant areas of expertise: Systems Analysis, Requirements Gathering, SQL, Business Process Modeling.
  • The client specifies: “At least 5 years of experience as a Computer Systems Analyst or in a closely related technical consulting capacity.”

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 →