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Portfolio tracking system for AI training contractors.

Practical spreadsheet system for tracking hours, quality scores, effective rates, and platform performance across multiple AI training accounts.

Contractors running 2–3 AI training platforms simultaneously need a tracking system. Without one, you can't see which platform is actually performing best. Here's the practical setup.

The four metrics that matter

  1. Hours worked per platform per week.
  2. Gross income per platform per week.
  3. Effective hourly rate (gross / hours).
  4. Quality score trajectory per platform.

Anything beyond these four is overengineering. Most successful contractors track these in a simple Notion table or Google Sheet.

The minimum viable spreadsheet

Columns:

  • Date (week starting)
  • Platform
  • Hours worked
  • Gross USD earned
  • Effective hourly (auto-calculated)
  • Quality score (current rolling)
  • Notes (any unusual events)

One row per platform per week. After 12 weeks, the patterns are obvious.

What the data tells you

Three patterns emerge after 8–12 weeks:

  • Effective rate divergence. Sometimes one platform looks similar on paper but pays meaningfully more per actual hour worked. Move hours to the higher-rate platform.
  • Hour availability ceilings. One platform may consistently let you book 18 hours; another caps you at 10. Plan accordingly.
  • Quality drift signals. If quality scores drop on one platform, the spreadsheet shows you exactly when — usually 2–4 weeks before you'd notice qualitatively.
Tracking impact on incomeMost contractors recover 10–20% income by reallocating hours based on data.
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What to do quarterly

Every 3 months, review the data and ask:

  • Which platform pays the highest effective rate? Allocate more hours there.
  • Which platform has consistently available hours? That's your stable primary.
  • Are any platforms underperforming? Drop them or rotate down.
  • What's my total trajectory? Income trending up, flat, or down.

The dashboard view

If you want more sophistication, add a summary sheet with:

  • Year-to-date totals.
  • Average effective rate by platform.
  • Hours percentages by platform.
  • Quality score trends.

This takes 30 minutes to set up once. Auto-updates as you fill weekly data.

Tracking taxes

Same spreadsheet should track:

  • Cumulative gross USD earned.
  • Tax rate estimate (US: ~32%, UK: ~30%, India: ~12% under 44ADA).
  • Reserved tax amount auto-calculated.

Per payment received, transfer the reserved % to a separate tax account. By tax filing deadline, the money is already there.

Bottom line

A simple weekly spreadsheet (5 minutes/week to update) reveals which platform is actually best for your specific situation, catches quality-score drift early, and forces tax discipline. Most contractors who track for 12+ weeks recover 10–20% of income through reallocation.

Find AI training contractsAll open roles · 9 platforms · filter by rate and hours.
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Frequently asked questions

How should AI contractors track their portfolio?
Simple weekly spreadsheet: date, platform, hours, gross earned, effective hourly, quality score, notes. One row per platform per week. After 12 weeks the patterns are obvious.
What's effective hourly rate?
Gross earnings divided by total hours actually worked, including unpaid waiting time for tasks. The 'true' rate after platform inefficiencies, not just the listed rate.
How often should I review my AI training portfolio?
Quarterly review of the full data. Weekly check-in to spot anomalies. Most reallocations happen at the quarterly review.
Should I track taxes in the same spreadsheet?
Yes. Add a column auto-calculating tax reserve at your country's rate (US: ~32%, UK: ~30%, India: ~12%). Transfer the reserved amount to a separate account on each payment received.