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OpenTrain

Image Quality Scoring

You will rate different image quality metrics and assess how image quality tools are used. The project focuses on photography and image annotation.

Field
Data & analytics
Where
Remote
Commitment
part time
Hours
up to 20/week
Posted
6 months ago

Pay data for your profession: Data scientist AI trainer jobs

The full listing

As posted on OpenTrain AI. See the original

The work

You will rate different image quality metrics and assess how image quality tools are used. The project focuses on photography and image annotation.

  • Evaluate image quality metrics.
  • Review the use of image quality assessment tools.
  • Provide evaluation ratings for image data.

What it pays and takes

This is part-time contract work for contributors with intermediate experience. The project is open to candidates in the countries listed for this role.

  • Pay: $5 to $7 per hour.
  • Time requirement: 20 or more hours per week.
  • Work type: Part-time contractor.
  • Experience level: Intermediate.
  • Subject knowledge: Photography and image annotation.
  • Location: Open to candidates in the eligible countries listed for this project.

How it works

Apply on OpenTrain. The employer reviews applications there.

About AI training work

AI training is the human work behind artificial intelligence, including reviewing images and rating model outputs. Careful ratings help improve how AI systems understand and evaluate visual content.

How OpenTrain AI pays and hires

OpenTrain says it is free for freelancers, with no fees or subscriptions. Clients fund each milestone before work starts, and OpenTrain pays out to your connected payout method when the client approves the milestone. It doesn't publish a fixed payout schedule.

Create a free profile with your domains, languages and hourly rate, then apply to listings. Some listings hire through OpenTrain; others link you straight to the hiring platform.

Source: OpenTrain: AI training careers, OpenTrain docs: invoicing and payouts

Full OpenTrain AI profile: watch-outs and worker reports →

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