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From Home Bot Detection Jobs (NOW HIRING)

AI Chopping Block

$217K - $303K/yr

... bot detection, and anomaly detection * Own services end-to-end, including design, implementation ... Global Benefit programs that fit your lifestyle, from workspace to professional development to ...

Jackalope Digital LLC

$217K - $303K/yr

... bot detection, and anomaly detection * Own services end-to-end, including design, implementation ... Global Benefit programs that fit your lifestyle, from workspace to professional development to ...

Salesforce, Inc.

Automated bot detection and order management that help the enterprise run efficiently at Commerce Cloud scale. * Design and build agentic ML systems that learn from ongoing interaction with users and ...

Reddit

Staff Software Engineer - Site Defense

$217K - $303K/yr

... bot detection, and anomaly detection * Own services end-to-end, including design, implementation ... Global Benefit programs that fit your lifestyle, from workspace to professional development to ...

Clera

Forward Deployed Engineer

New York, NY · Remote

$140K - $160K/yr

Own customer requests from intake to delivery, ensuring high-quality outcomes and strong ... Familiarity with bot detection evasion, request infrastructure, or anti-scraping mitigation ...

Salesforce

AI Scientist - Commerce Labs

Burlington, MA · On-site

Automated bot detection and order management that help the enterprise run efficiently at Commerce Cloud scale. * Design and build agentic ML systems that learn from ongoing interaction with users and ...

Salesforce

AI Scientist - Commerce Labs

Boston, MA · On-site

Automated bot detection and order management that help the enterprise run efficiently at Commerce Cloud scale. * Design and build agentic ML systems that learn from ongoing interaction with users and ...

Clera

Forward Deployed Engineer

New York, NY · On-site

$140K - $160K/yr

Own customer requests from intake to delivery, ensuring high-quality outcomes and strong ... Familiarity with bot detection evasion, request infrastructure, or anti-scraping mitigation ...

Talanto

$217K - $303K/yr

... bot detection, and anomaly detection * Own services end-to-end, including design, implementation ... Global Benefit programs that fit your lifestyle, from workspace to professional development to ...

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Showing results 21-40

All JobsRemote JobsFrom Home Bot Detection Jobs

From Home Bot Detection information

What is the difference between From Home Bot Detection vs Customer Support Specialist?

AspectFrom Home Bot DetectionCustomer Support Specialist
Required CredentialsTechnical knowledge, certifications in cybersecurity or fraud detectionCommunication skills, customer service training
Work EnvironmentRemote, technical, analyticalRemote or on-site, customer-facing
Industry UsageFinance, e-commerce, tech companiesRetail, telecom, service industries
Common Search/ComparisonFocuses on fraud detection, automation, securityFocuses on customer interaction, issue resolution

From Home Bot Detection primarily involves analyzing online activity to identify fraudulent bots, requiring technical skills and cybersecurity knowledge. Customer Support Specialists handle direct customer interactions, providing assistance and resolving issues. While both roles can be remote, their core functions and skill sets differ significantly, making them distinct career paths within the same industry.

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From Home Bot Detection jobs near you
Infographic showing various From Home Bot Detection job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 73% Full Time, 21% Part Time, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Senior / Staff Data Scientist, Trust & Safety

San Francisco, CA • On-site

Suno
11 - 50 employees
Learn more about Sunoexternal

$220K - $320K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Key responsibilities

  • Define and evaluate metrics for the health of the trust and safety ecosystem.

  • Analyze and contribute to models, algorithms, and methodologies for maintaining a safe platform, such as bot detection, content filtering, and copyright detection.

  • Design and run experiments to measure the impact of Trust & Safety practices and provide clear recommendations.

Job description

About Suno
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it's incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
About the Role
Trust should be the foundation of every relationship Suno has - with our users, our artists, our rightsholders, and the broader music community. We're looking for our first dedicated data scientist on the Trust & Safety team to help make that real by building the metrics and analysis that let us measure how we're doing, and collaborating to define and execute on an impactful roadmap. You'll partner closely with product, engineering, and legal to bring a rigorous, quantitative lens to problems like copyright detection, content filtering, and bot detection. You and cross-functional stakeholders will work together to create a seamless creative environment for our users that is built on security and trust.
What You'll Do
  • Define and evaluate metrics for the health of our trust and safety ecosystem
  • Analyze and build models, algorithms, and methodologies for maintaining a safe platform, like bot detection, content filtering, copyright detection, etc.
  • Design and run experiments that measure the real impact of changes to Trust & Safety practices, and turn results into clear recommendations
  • Partner with product and engineering to size opportunities and shape the Trust & Safety roadmap
  • Contribute to building strong data foundations as part of our awesome data science team

What You'll Need
Must-Haves
  • 6-8 years of experience in data science or a closely related analytical field, with several years in trust & safety or closely adjacent problems (e.g., spam/fraud, integrity, policy-adjacent ML)
  • Strong hands-on SQL and Python
  • Experience running online experiments end-to-end, from ideation and metrics selection through analysis and informing the final decision
  • Experience building metrics or evaluation frameworks from scratch, without established precedent to lean on
Nice-to-Haves
  • Experience training and building predictive ML models, offline and real-time.
  • Musician or creative hobbyist

Work Location Policy
This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.
Additional Notes
Applicants must be eligible to work in the US.
Perks & Benefits for Full-Time Employees
  • Company Equity Package
  • 401(k) with 3% Employer Match & Roth 401(k)
  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
  • 11 Paid Holidays + Unlimited PTO & Sick Time
  • 16 Weeks of Paid Parental Leave
  • Creative Education Stipend
  • Generous Commuter Allowance
  • In-Office Lunch (5 days per week)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

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