top of page
< Back

Data Analyst (AI Evaluation)

$30–$60/h

Remote, US-based.

Role overview

Role Title: Data Analyst (AI Evaluation)


Role Type: Contractor


Location: Remote, US-based.


micro1 is engaging Data Analysts to contribute their knowledge and expertise to a customer’s data quality project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Review datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines.
  2. Identify and flag inconsistencies, errors, and outputs that deviate from provided instructions.
  3. Apply structured rubrics and evaluation criteria consistently across large data sets.
  4. Exercise sound judgment and document rationale in ambiguous scenarios where guidelines are unclear.
  5. Escalate patterns or recurring data issues for further analysis rather than addressing them individually.
  6. Provide clear, actionable written and verbal feedback pinpointing issues and suggesting resolution paths.
  7. Maintain meticulous attention to detail while working through high volumes of repetitive data review assignments.


Preferred Qualifications

  1. 3–5+ years of experience in data review, data quality, quality assurance, or analytical roles.
  2. Proven expertise in reviewing, validating, and critiquing data or deliverables based on explicit criteria.
  3. Exceptional ability to follow detailed written instructions and apply complex evaluation rubrics precisely.
  4. Demonstrated comfort with ambiguity, including making justifiable decisions when guidelines are incomplete.
  5. Advanced attention to detail and error-spotting capabilities across repetitive or high-volume work.
  6. Strong written and verbal communication skills for documenting findings and providing feedback.
  7. Baseline fluency with spreadsheets (sorting, filtering, simple formulas); SQL or hands-on data querying is a plus.
  8. Experience with data annotation, labeling, or rubric-based evaluation is advantageous.

Similar jobs

AI Safety Experts — English & Odia · Mercor · $16–$22/h · Remote

AI Safety Experts — English & Punjabi · Mercor · $16–$22/h · Remote

Application Users - EViews on Windows - STEM · Mercor · $45–$55/h · Remote

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.

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 →