Excel Expert - Office & Retail Ops (Remote, Part-Time)

NEPSE Trading

United States

Hybrid

USD 96.000 - 138.000

Teilzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Mercor is seeking an Excel Expert to guide AI research teams in designing and evaluating advanced Excel tasks for training models in the Office/Retail Management domain. The role is remote, requires at least 20 hours per week, and demands robust Excel skills including formulas, PivotTables, data modeling, dashboards, Power Query, Power Pivot, and VBA.

You will work with researchers to craft domain-relevant tasks, assess solutions, and provide clear feedback.

Qualifikationen

  • Advanced, professional-level Excel expertise including XLOOKUP, INDEX/MATCH, dynamic arrays
  • Hands-on Excel experience in Office/Retail Management domain
  • Proven career progression and reliability for 20+ hours/week
  • Strong verbal and written communication, problem-solving and interpersonal skills
  • United States–based only

Aufgaben

  • Design and create realistic Excel tasks for AI model training
  • Evaluate tasks and provide accurate, well-structured solutions
  • Guide research teams to close knowledge gaps and improve model performance
  • Collaborate with SMEs to ensure training data quality and consistency

Kenntnisse

Advanced Excel
PivotTables
Data modeling
Dashboards
Power Query
Power Pivot
VBA/macros
Office/Retail Mgmt domain
XLOOKUP
INDEX/MATCH
Dynamic arrays
Communication skills

Tools

XLOOKUP
INDEX/MATCH
Dynamic arrays
VBA
Power Query
Power Pivot

Jobbeschreibung

Mercor is seeking an Excel Expert to guide AI research teams in designing and evaluating advanced Excel tasks for training models in the Office/Retail Management domain. The role is remote, requires at least 20 hours per week, and demands robust Excel skills including formulas, PivotTables, data modeling, dashboards, Power Query, Power Pivot, and VBA.

You will work with researchers to craft domain-relevant tasks, assess solutions, and provide clear feedback.

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