Senior Photographer, AI Training (English)

You will help improve AI systems by preparing high-quality photographic data and explaining what images show. The work combines professional photography judgment with careful labeling, organization, review, and submission.

You will work with portraits, landscapes, commercial images, and editorial content. You will coordinate deliverables with project coordinators and use their feedback to improve your submissions.

• Write accurate descriptions, labels, captions, and contextual information for photographic content.
• Analyze visual material and clearly explain relevant subjects, details, and context.
• Organize, review, and submit data according to project guidelines and deadlines.
• Apply consistent photography expertise when interpreting different types of images.

What it pays and takes

• Pay: $55 to $105 per hour.
• Work type: Remote contractor opportunity with part-time work.
• Location: Open to candidates across the listed countries in the Americas, Europe, Asia, Africa, and the Middle East.
• Language: Professional fluency in English.
• Experience: At least five years of professional photography experience, including portraits, landscapes, commercial photography, or editorial photography.
• Tools: Familiarity with cameras and Adobe Photoshop or Lightroom.
• Requirements: A strong portfolio, clear written and verbal communication, reliable organization, attention to detail, and the ability to meet deadlines.
• You must be able to follow detailed instructions and incorporate feedback.
• Helpful background: Experience writing image descriptions, captions, or metadata, plus previous remote work experience.
• No prior AI experience is required.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that understand images and other information. People label examples, describe content, and review results so AI models can learn from clear, consistent data; experienced professionals are valued when a project needs informed judgment.