Image Annotation QA Specialist

This role supports the improvement of large language models. The title refers to image annotation QA, while the listed duties focus on written content evaluation, so review the duties and qualifications before applying.

• Read, summarize, and divide long content into clear logical sections.
• Answer questions involving data interpretation, comparisons, basic arithmetic, and logical constraints.
• Create scenarios that test a language model's reasoning and factual accuracy.
• Research claims online and explain the correct answer when a model is wrong.
• Review model answers for accuracy, formatting, clarity, and completeness.
• Write detailed annotations and constructive feedback to support model improvement.

The listing does not provide a pay rate. It is an intermediate-level, part-time contractor role open worldwide.

• Hours: 20 or more hours per week.
• Location: Open worldwide.
• Language: Strong English reading and writing ability with a high degree of comprehension.
• Skills: Research, analysis, data interpretation, logical reasoning, clear explanations, and detailed feedback.
• Work style: Self-motivated, attentive to detail, and able to work independently.
• Equipment: A reliable computer and internet connection.
• Helpful background: A bachelor's degree or undergraduate study in engineering, literature, journalism, communications, arts, statistics, or a related field.
• Preferred experience: Two or more years in quality assurance, data annotation, or content review workflows.
• Also valuable: Professional writing experience and familiarity with Excel and Google Suite.

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

AI training is the human work behind systems that learn from examples, including reviewing text, rating answers, checking facts, and explaining errors. Strong writing, reasoning, research, and subject knowledge help contributors produce the careful feedback these systems need.