You will review individual artworks, photographs, and image sets for use in a theme, exhibition, show, or collection. Your work will combine curatorial judgment with concise written explanations that help another reviewer understand each decision.
- Assess whether works fit a theme, exhibition, show, or collection.
- Review attribution, date, medium, edition, and print type using the available work and description.
- Identify gaps in provenance, or the record of where a work came from, along with doubtful attributions, condition concerns, and display risks.
- Check whether titles, labels, and descriptions are accurate and fair.
- Flag rights, consent, and ownership issues.
- Explain decisions clearly so another reviewer can follow your reasoning.
What it pays and takes
This is a part-time contractor opportunity.
- Pay: $50 to $105 per hour.
- Work setting: Fully remote, with availability across multiple countries worldwide, subject to applicable hiring restrictions.
- Language: Fluent written English.
- Required experience: Curator, assistant curator, collections or exhibitions specialist, gallery director, auction house specialist, art or photo archivist, or registrar experience.
- Relevant background: Selecting works, attributing them, planning displays, or handling loans and acquisitions.
- Photography knowledge: Experience with photographic prints, editions, and processes where applicable.
- Helpful knowledge: Historical or contemporary photography, painting and drawing, sculpture and installation, prints and works on paper, or collections spanning several media.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 4 screening questions.
About AI training work
AI training is the human work behind artificial intelligence, including reviewing images and explaining why examples fit certain categories. People with experience in a subject area help make these reviews accurate and useful for improving AI systems.