Portuguese-Speaking Image Evaluation Annotator

You will create multimodal evaluation materials from authentic photographs of places, products, and media. Your work will test whether an AI system can research partial clues, identify a subject, and generate or restore missing image content.

• Find suitable photographs from assigned locations, including landmarks, universities, municipal buildings, products, and domestic film or media.
• Check that each image is original, publicly available, copyright-free, or explicitly licensed, and document its license and provenance.
• Use Google Search, Google Lens, reverse image search, and other reliable sources to identify subjects from partial visual clues.
• Crop, mask, hide, or degrade images while preserving realistic secondary clues and avoiding made-up details.
• Write time-bound English prompts, one-sentence objective grading criteria, and solution notes covering research, evidence, and expected results.

What it pays and takes

This is a remote part-time contractor engagement. Compensation is not disclosed in the role information.

• Pay: Compensation not disclosed.
• Time: At least 4 hours per day and 20 or more hours per week.
• Schedule: At least 4 hours of overlap with Pacific Time; the engagement may last up to 16 weeks.
• Language: Highly fluent Portuguese and strong working English are required.
• Knowledge: Strong familiarity with less-touristy regional landmarks, universities, municipal buildings, and domestic film or media.
• Skills: Web research, visual subject verification, image licensing and copyright review, provenance documentation, and basic image editing.
• Tools and workflow: Shared Google Drive folders, file naming conventions, structured submissions, and clear prompts, rubrics, and research notes.
• Experience: Entry-level candidates may apply. A bachelor's degree or equivalent practical experience is welcome, and prior AI evaluation, annotation, content review, quality assurance, photography, or analytical experience is useful but not 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 work is the human side of building artificial intelligence. Contributors prepare examples, review model results, and write evaluations so AI systems can better understand images, language, and real-world information; people with careful research and subject knowledge are paid for this expertise.