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10a Labs11–50 employees

Trust & Safety Investigator

RemoteSalary not listedPosted 20h ago

Immigration summary

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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.

We're growing our trust and safety operations and looking for contractor investigators who can dig into one or more specialty areas: Scaled Enforcement, Fraud & Scam Prevention, Privacy & Regulatory Compliance, or Emerging Risk Operations.

About the Role:

You'll be part of a broader trust and safety function, helping protect products and users from abuse, fraud, scams, and related risks across tools. The work is hands-on: clearing ticket queues, resolving cases, carrying out enforcement actions, and surfacing patterns worth flagging to your lead. Every decision is grounded in existing policy frameworks, with a clear path for escalating anything outside your scope.

Please note: this work involves exposure to difficult material, some of it sexual, violent, or otherwise disturbing in nature.

This position includes on-call coverage on a rotating basis, up to 7 days at a time, with no more than 5 consecutive days falling on weekends or holidays.

This is a remote, 6-month fixed term position.

In this role, you will:

  • Work through assigned ticket queues, resolving cases while hitting quality, accuracy, and turnaround targets.
  • Chip away at backlog by triaging cases according to urgency and risk, keeping pace with service-level goals.
  • Evaluate evidence tied to enforcement reports and apply consistent, policy-aligned actions.
  • Investigate flagged activity using internal tooling, documenting your reasoning and outcomes clearly.
  • Route ambiguous or high-stakes cases to the right escalation path, backed by clear evidence and context.
  • Spot emerging patterns, unusual spikes, or recurring tactics, and surface them to the team.

Requirements:

  • 2–5 years of experience in trust and safety, fraud, privacy, compliance, or a similarly operational function.
  • A track record managing ticket-based workflows against productivity and SLA benchmarks.
  • Comfort applying policy frameworks consistently, while still knowing when to escalate.
  • A sharp eye for detail, even at high case volumes.
  • Pattern-recognition instincts, and the ability to summarize findings clearly for your lead.
  • Experience with and willingness to handle difficult or sensitive material as part of the job.
  • Familiarity with case management platforms, investigative tooling, and approved AI-assisted workflows.
  • Flexibility to move across queues as priorities shift.

Preferred Qualities (but not required):

  • Experience drafting case summaries or enforcement write-ups using standard templates.
  • Comfort participating in calibration sessions to keep decisions consistent across the team.
  • Strong writing skills for case notes, escalations, and user-facing communications.
  • Sound judgment when handling sensitive data and content.

Compensation & Benefits:

  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule
  • Retirement: 401(k) plan

Sponsorship evidence

Why Openbound reached the conclusions above.

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Employer filing history

Unavailable

We couldn't confidently match this employer to a verified U.S. filing entity, so reliable H-1B and PERM history isn't available yet.

Filing history reflects past employer behavior; it isn't a promise for this opening.

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How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.