Threat Investigator US

10a Labs

Washington (District of Columbia)

On-site

USD 70,000 - 100,000

Full time

14 days+

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Job summary

A trusted AI safety organization is seeking a Threat Investigator to join their remote Investigations Team. The ideal candidate will have over 3 years of investigative experience, particularly in sensitive subjects like child safety, and strong skills in SQL and Python. Responsibilities include detecting bad actors, investigating policy violations, and documenting findings. Candidates should be prepared for on-call duties, requiring flexibility for urgent escalations outside of regular hours.

Qualifications

  • At least 3+ years of related investigative experience in Trust & Safety or similar domains.
  • Ability to work on sensitive subject matter including child safety.
  • Strong SQL and Python proficiency.

Responsibilities

  • Detect and reacquire bad actors on the platform.
  • Investigate policy-violating activity using SQL and Python.
  • Document and share findings with internal stakeholders.

Skills

SQL proficiency
Python proficiency
Investigative experience
Technical investigative skillset

Job description

About 10a Labs

10a Labs is the safety and threat‑intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.

About the Role

As a Threat Investigator, you will support our Investigations Team and be responsible for detecting and responding to malicious uses and abuse, investigating the activity, drafting reports based on your findings, and making recommendations. This requires technical experience investigating threat actors, harmful behaviors, and other activities, and a strong ability to use SQL and Python to query, transform, and understand data. You will also respond to escalations and reactive leads, including those that are not caught by our existing safety systems.

Investigations involve sensitive and distressing content, including sexual, violent, or otherwise‑disturbing material.

This role includes serving in an on‑call capacity that will involve resolving urgent escalations outside of normal work hours, occasionally including evenings and weekends. The typical on‑call rotation is 7 consecutive days per 2 months, though this may shift based on operational needs and candidates should be prepared to remain flexible.

This is a remote, full‑time position.

In this role, you will
  • Proactively detect and reacquire bad actors on our platform.
  • Investigate potentially policy‑violating activity by querying internal data sources (using SQL and Python) and cross‑referencing open source information (OSINT).
  • Document and share investigative findings with internal stakeholders.
Requirements
  • At least 3+ years of related investigative experience in Trust & Safety, National Security, Defense, Intelligence, or Law Enforcement domains working on related topics; must be willing to work on sensitive subject matter including child safety.
  • U.S.-based, with the ability to work West Coast hours (9am‑5pm PT).
  • Ability to be on‑call that will involve resolving urgent escalations outside of normal work hours, including occasional evenings and weekends.
  • Strong SQL and Python proficiency and/or additional programming skills.
  • Strong and applicable technical investigative skillset with ability to develop and maintain detection pipelines.
  • Ability to rapidly context switch across domains, modalities, and abuse areas.
  • Excited to work in a fast‑paced, ambiguous, and purposeful space with high impact across users and beyond.
Preferred Qualities (but not required)
  • Expertise with risk and abuse related to AI platforms.
  • Full professional proficiency in Arabic, Chinese, Farsi, Portuguese, Russian, or Spanish.
  • Have experience scaling and automating detection and mitigation processes.
  • Familiarity using language models to scale.
  • Familiarity with one of the following topics/areas: violence, extremism, child safety, digital mental health, scams and fraud abuse, radicalization/persuasion/grooming, hateful activities and groups.
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