Trust and Safety Specialists: Message Risk and Scam Annotation

We're running a paid study on the detection and categorization of digital scams in user messages. Identifying red flags early is critical for preventing fraud and protecting online communities from malicious actors. Your insights will help us refine our approaches to threat detection and moderation workflows.

You will independently review a set of eight redacted messages sourced from participant interactions. For each message, you will assess the overall risk level and categorize the specific type of scam being attempted. You will also highlight the distinct linguistic or behavioral red flags present in the text. Finally, you will recommend an appropriate moderation action and draft a plain-English warning summarizing the threat.

We are seeking individuals with a solid background in digital security, fraud prevention, or online content moderation. We welcome Trust and Safety specialists, cybersecurity analysts, fraud investigators, and experienced community moderators. Familiarity with identifying phishing attempts, social engineering tactics, or spam patterns is highly desirable for this task.

• Analyze eight redacted messages for potential security risks and fraudulent intent.
• Label the specific scam type and identify key behavioral red flags in the text.
• Determine the appropriate moderation action for each flagged communication.
• Draft a clear, plain-English warning explaining the identified threat.

• Professional experience in Trust and Safety, cybersecurity, or content moderation.
• Strong ability to recognize social engineering, phishing, and scam patterns in written text.
• Excellent written communication skills for drafting clear threat summaries.
• Comfortable analyzing and categorizing user-generated content independently.

• 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.