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Abuse Research Engineer Jobs

216 active opportunities · Updated for October 2026

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Explore current abuse research engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

PE
Private Employer
📍 United States• Full-time• Remote
56mo ago

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! Who We Want Content Moderators expeditiously read, analyze and apply codes to large quantities of user generated content that is posted to our clients' websites. This content includes customer product reviews, questions, general comments, images and videos in English and in German. On occasion, the Content Moderator may encounter content that is deeply disturbing and illegal defined as text, images, or video that suggest or contain evidence of violence to children, child sexual abuse, serious crime or serious threats of violence. Bazaarvoice has over 12,500 global clients.

REMOTEairust
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PE
113mo ago

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! Who We Want Content Moderators expeditiously read, analyze and apply codes to large quantities of user generated content that is posted to our clients' websites. This content includes customer product reviews, questions, general comments, images and videos in English and in Dutch. On occasion, the Content Moderator may encounter content that is deeply disturbing and illegal defined as text, images, or video that suggest or contain evidence of violence to children, child sexual abuse, serious crime or serious threats of violence. Bazaarvoice has over 12,500 global clients.

REMOTEairust
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R
Roblox
📍 San Mateo• $261.8K – $311.8K/yr
Just now

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As Director, Law Enforcement & Critical Harms Operations, you’ll lead three key verticals within Roblox Safety Operations: Law Enforcement Operations: the operational backbone of Roblox’s law enforcement collaboration, responsible for the scaled review and processing of global law enforcement requests seeking the disclosure of Roblox account records. Critical Harms Investigations & Incident Management: the team responsible for comprehensively investigating, managing, and working across the company to mitigate Roblox’s highest-risk safety incidents. Critical Harms Product Support: the team responsible for collaborating with Product, Engineering, and other internal partners to combat critical platform harms, including via scaled operations responding to critical harms abuse reports and proactive reporting to law enforcement. The ideal candidate will be a versatile, self-driven, team-player who enjoys context-switching across high-profile initiatives, and has an exceptional safety operations track record. Through your work, you’ll become an expert in Roblox’s safety practices, advance our tooling and investigative capabilities, and work across a variety of teams to surface, analy

Req ID : FEQ427R279 Location : Tokyo, Japan At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centricity guides us to build a unified platform that makes data and AI accessible to everyone. In Japan Public Sector , we help central ministries, agencies, local governments, and public institutions use data and AI to deliver better, more trusted services to citizens. You will be the senior technical leader for a set of strategic public sector accounts in Japan, using your executive‑level technical credibility and government expertise to shape and execute their data and AI strategy. Reporting to: Director, Field Engineering, Japan The impact you will have Own technical strategy for key Japan public sector customers, defining the target architecture and roadmap for their Databricks‑based data and AI platform. Lead solution design for priority government use cases (e.g., citizen 360 and eligibility, program analytics, smart infrastructure, cybersecurity, fraud/waste/abuse). Design for security and compliance , ensuring architectures meet public sector expectations on data residency, access control, governance, and auditability. Turn pilots into platforms , linking Databricks to visible mission outcomes and using those wins to drive expansion across bureaus, departments, and levels of government. Influence the ecosystem , collaborating with SIs, cloud providers, and public sector partners to deliver integrated, production‑grade solutions on Databricks. Mentor others , coaching Solutions Architects and partners on how to work effectively with Japan public sector stakeholders and patterns on the Databricks platform. What we look for 5+ years in data platforms, analytics, or cloud architecture, including significant experience with public sector organizations in Japan . Proven ability to build trust with senior government stakeholders (CIO, CDO, chief architect, bureau/department leaders) and lead high‑stakes technical

O
OpenAI
📍 San Francisco• Full-time• $198K – $425K/yr
5mo ago

About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidenc

pythonsqlmachine learning
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O
12mo ago

About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidenc

pythonsqlmachine learning
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