Written Content Assessment Opportunity

We are seeking detail-oriented English-proficient participants for a paid QA review project focused on evaluating written prompts, rubrics, and automated quality flags.

In this project, you will review short written materials and determine whether system-generated flags are valid or false positives. For example, you may be shown a prompt, a rubric, and a flag suggesting that the two do not match. Your role is to carefully review the materials and decide whether the flag is accurate.

You will examine written prompts, rubrics, and automated QA flags. For each item, you will decide whether the flagged issue is real or a false positive, then provide the requested signal, correction, or brief explanation.

The work is straightforward, but it requires careful reading, strong English comprehension, and consistent judgment.

Your input will help improve the accuracy and reliability of systems that evaluate written content. By identifying when automated quality checks are correct or incorrect, you will help refine how prompts, rubrics, and written guidelines are reviewed for clarity, alignment, and quality.

This opportunity is a strong fit for people with strong English reading and writing skills, especially those with experience in writing, editing, tutoring, grading, QA, content review, data annotation, or other detail-oriented language work.

No coding experience or AI expertise is required. We are looking for people who can read carefully, follow instructions, and make thoughtful quality judgments.

Eligible participants may be invited to join a project workspace where instructions, training materials, task access, and next steps will be shared.

• Contribute to the refinement of content assessment processes

• Teachers
• Writers

• You will be engaged as an independent contractor.
• This is a fully remote opportunity that can be completed on your own schedule.
• Opportunities can be extended, shortened, or concluded early depending on needs and performance.
• Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are processed weekly based on services rendered.
• We are unable to support H1-B or STEM OPT candidates at this time.