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Senior Data Analyst

$50–$60/h

Remote, US Based only

Role overview

Role Title: Senior Data Analyst


Role Type: Contractor


Location: Remote, US Based only


Job Summary: We are seeking seasoned U.S.-based Senior Data Analysts for a part-time role at the forefront of AI. This opportunity is for accomplished data professionals who want to help shape how advanced AI is trained, evaluated, and applied to real-world data work. We are especially interested in analysts with deep experience working with large business data sets, strong quality assurance practices, and a meticulous eye for detail. Experience handling personally identifiable information (PII) is a plus.


Key Responsibilities:

  1. Review data sets for PII, flagging sensitive information and following data privacy best practices.
  2. Review and assess AI responses to data and business analysis scenarios, providing expert feedback to improve accuracy and precision.
  3. Apply QA practices to validate data quality, flag inconsistencies, and verify the correctness of analytical results.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on analytical tasks.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven analytics.


Required Skills and Qualifications:

  1. Bachelor's degree in business, analytics, statistics, information systems, or a related field (or equivalent professional experience).
  2. 3+ years of experience as a Business Analyst or Data Analyst working with large business data sets.
  3. Hands-on experience with QA processes, such as data validation, reconciliation, and verifying analytical outputs.
  4. Demonstrated expertise in handling and analyzing large business data sets.
  5. Proven experience managing data containing personally identifiable information (PII) and sensitive material.


Preferred Qualifications:

  1. Familiarity or experience working with PII, including data privacy and handling best practices.
  2. Proficiency with SQL, Excel, and BI or visualization tools.
  3. Advanced degree or professional certification in business analysis or data analytics.
  4. Prior exposure to AI, data labeling, or model evaluation initiatives.

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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 →