In this role, you will:

• Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices; 
• Conduct ad hoc web scraping and data collection to support research and intelligence initiatives;
• Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking;
• Contribute to the development of internal and external APIs, following best practices; 
• Collaborate with ML engineers, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and 
• Drive other critical initiatives. 

Requirements:

• Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)
• 2+ years of professional experience in data engineering or a closely related field
• Ability to communicate complex technical ideas clearly to non-technical audiences
• Proficiency in Python, SQL
• Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
• Experience with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)
• Experience building and managing data pipelines, especially for text data
• Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Compensation & Benefits:

• Salary Range: $105K–$125K, depending on experience and location
• Bonus: Performance-based annual bonus
• Professional Development: Support for conferences, continuing education, or leadership training
• 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

In this role, you will: 

• Design and implement highly reliable, distributed, backend services and APIs that are secure, scalable, and maintainable, primarily using Python and Kotlin;
• Work closely with researchers, security engineers, and product teammates to bring AI-driven features from concept to production; 
• Apply best practices for authentication, authorization, encryption, and data protection throughout the stack;
• Integrate and optimize advanced AI/ML models within backend architectures; 
• Monitor and improve performance, reliability, and resource efficiency to support growth; 
• Deploy and manage services on Google Cloud Platform (GCP) such as Cloud Run, Vertex AI, and API Gateway with an emphasis on ensuring scalability, reliability, and efficient resource utilization;
• Participate in code reviews, testing, and deployment processes to maintain high standards of quality and security; and 
• Drive other critical initiatives. 

You might excel in this role if you:  

• Bring deep experience in cybersecurity, threat detection, or a related area; 
• Thrive in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams;
• Enjoy tackling complex, ambiguous problems and can adapt quickly as priorities evolve;
• Take initiative, communicate openly, and consistently push yourself and your team to deliver exceptional results; and
• Work effectively both independently and collaboratively, contributing to team goals while managing your own projects with initiative and accountability.

Qualifications:

• Degree in Computer Science, Engineering, or related field — or equivalent professional experience 
• 3+ years of hands-on backend development in production environments 
• Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and experience building secure systems, APIs, and microservices
• Strong understanding of security best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack vectors (SQL injection, privilege escalation, DDoS) and effective mitigation strategies
• Experience with cloud infrastructure (AWS, GCP) and secure deployment practices, including containerization (Docker, Kubernetes)
• Experience effectively communicating complex engineering topics to both technical and non-technical stakeholders
• Familiarity with modern DevOps practices, including test automation, CI/CD pipelines, and infrastructure-as-code practices
• Experience designing and building end-to-end backend systems, from architecture and data modeling to deployment, scaling, and monitoring

Nice to Have:

• Experience integrating and optimizing AI models (e.g., NLP, vision, multimodal systems) within backend services
• Familiarity with SQL and NoSQL databases; experience with secure data management

Compensation & Benefits:

• Salary Range: $105K–$125K, depending on experience and location
• Bonus: Performance-based annual bonus
• Professional Development: Support for conferences, continuing education, or leadership training
• 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

10a Labs’ Investigations Team is seeking additional support to respond to critical safety incidents and conduct investigations across a range of abuse areas, including but not limited to violence, hate, mental health, CBRNE, child safety, and cyber abuse.

This role requires the ability to work Pacific Time (PT) hours and have valid work authorization in the United States.

About the Role:

As a Threat Investigator, you will be supporting our Investigations Team and responsible for detecting and/or responding to malicious uses and abuse, investigating the activity, drafting reports based on your findings, and making recommendations. This will require technical experience investigating threat actors, harmful behaviors, and/or other activities; as well as 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. 

Data Center Watch is a research project that tracks political risks emerging from local opposition to data centers with the aim of understanding the emerging regulatory landscape of data center development in the U.S. 

In this role, you will:

• Conduct open-source and targeted research in various sources, including social media, forums, and news outlets
• Analyze, summarize, and clearly report findings for a variety of stakeholders
• Explore emerging questions and pursue lines of inquiry as they arise, adjusting focus as priorities shift
• Collaborate with teammates to design and refine research methods or analytic approaches
• Draft reports, prepare presentation materials, and support podcast development 
• Work on sensitive topics with professionalism, balance, and care
• Support other critical initiatives as needed 

We're looking for someone who:

• Is passionate about critical infrastructure, AI, data centers, and the social dimension of technology
• Possesses strong analytical, writing, and research skills
• Has experience or coursework in local politics, public opinion research, international studies, data centers, or related fields
• Thinks critically, communicates findings clearly, and adapts quickly to evolving tasks

Requirements:

• Bachelor's degree in international relations, political science, economics, human geography, or a related field — or equivalent professional experience
• Demonstrated interest or experience in online research, information security, or trust & safety
• Ability to quickly summarize complex information into concise, actionable reports
• Comfort working independently and collaboratively in a remote setting
• Exceptional verbal and written communication skills
• Data visualization skills, slide presentation, and basic scripting skills (e.g., Python) or familiarity with research automation tools

Compensation & Benefits:

• Remote work (based in the continental U.S.) 
• Flexible schedule, up to 20 hours per week (negotiable) 
• $25 per hour for undergraduate students 
• $32.50 per hour for graduate students

In this role, you will:

• Conduct open-source and targeted research in various sources, including social media, forums, and news outlets.
• Analyze, summarize, and clearly report findings for a variety of stakeholders.
• Explore emerging questions and pursue lines of inquiry as they arise, adjusting focus as priorities shift.
• Collaborate with teammates to design and refine research methods or analytic approaches.
• Work on sensitive topics (e.g. hate, violence, scams and fraud, etc.) with professionalism and care. 

We're looking for someone who:

• Possesses strong analytical, writing, and research skills.
• Has experience or coursework in security research, international studies, trust & safety, or related fields.
• Thinks critically, communicates findings clearly, and adapts quickly to evolving tasks.

Requirements:

• Bachelor's degree in international relations, political science, economics, cybersecurity, or a related field — or equivalent professional experience.
• Demonstrated interest or experience in online research, information security, or trust & safety.
• Ability to quickly summarize complex information into concise, actionable reports.
• Comfort working independently and collaboratively in a remote setting.
• Basic scripting skills (e.g., Python) or familiarity with research automation tools.

Compensation & Benefits:

• Work remotely, though must be based in the continental U.S. 
• $25 per hour for undergraduate students 
• $32.50 per hour for graduate students
• Flexible schedule, potentially up to 20 hours per week (negotiable)

About the Role: We are hiring a Technical Recruiter to architect and scale our talent engine and strengthen core people operations. 

This is a high-ownership role focused primarily on recruiting exceptional technical and mission-driven talent in competitive markets. You will build talent pipelines across engineering, red teaming, research, product, operations, and specialized technical roles, and design the systems that enable them to succeed once hired. 

You will work directly with leadership to shape hiring strategy and ensure we consistently hire exceptional talent.

What You’ll Own:

• Talent Acquisition
• Own full-cycle recruiting, including sourcing, interviewing, and onboarding.
• Build and execute proactive sourcing strategies for highly competitive AI and engineering markets.
• Develop structured interview processes and evaluation rubrics. 
• Partner with hiring managers to define performance profiles and talent gaps.
• Drive candidate experience and closing strategy. 
• Track recruiting metrics and continuously improve funnel performance and ATS workflows. 
• Partner with leadership on workforce planning and hiring prioritization.
• People Operations & Infrastructure
• Contribute to improvements of structured onboarding programs
• Support performance review cycles and feedback systems.
• Implement and document SOPs for core processes.
• Coordinate with external vendors, legal counsel, and service providers.  
• Identify bottlenecks and test new tools or workflows to boost efficiency.
• Contribute to and own other cross-functional, operational projects as the company continues to scale.

Required Qualifications:

• 3+ years in recruiting and operations, ideally at a high-growth startup.
• Bachelor’s degree or equivalent professional experience. 
• Demonstrated success recruiting both technical (e.g., ML engineers, software engineers, data scientists, etc.) and non-technical (e.g., researchers, threat investigators, etc.) roles in competitive markets.
• Strong outbound sourcing capability.
• Experience designing and implementing hiring processes, SOPs, onboarding programs, and process improvements.  
• Comfort rolling up your sleeves, operating in ambiguity, and building systems from scratch. 
• Exceptional verbal and written communication skills.
• Familiarity with HR management systems, job boards, and applicant-tracking systems.
• Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams. 

Desired Qualifications

• Experience recruiting in AI, cybersecurity, or mission-driven domains.
• Experience recruiting in the US and internationally.

Benefits

• Competitive salary: USD $90k to $120k
• Room for growth with demonstrated success
• Comprehensive medical, dental, and vision insurance
• 401(k) plan
• Unlimited PTO 
• Professional development stipend
• Remote work environment

Thank you for submitting your application. If there's a good fit, a member of the 10a Labs team will reach out to discuss next steps.

About the role: As an Engineering Fellow, you will apply your technical skills to support high-impact research problems. Fellows will contribute across the project lifecycle — from processing diverse data sources and designing dynamic visualizations, to deploying sophisticated models and building cloud infrastructure. This is a hands-on role at the intersection of applied research and practical engineering, with opportunities to explore novel methods, test ideas quickly, and generate insights. 

Fellows specialize in one of three concentrations based on interest and past experience: Software Engineering, Data Engineering, or Machine Learning. 

In this role, you will:

• Collaborate with engineers on real projects, including client-facing products and in-house tooling;
• Assist with researching experiment design and automation, particularly as it relates to abuse detection or red teaming of AI systems;
• Ideate / brainstorm new research approaches to known and novel problems in the Trust & Safety and AI Security fields; and
• Support other critical initiatives. 

Software Engineering concentration responsibilities may include:

• Implementing cloud infrastructure for deploying machine learning models;
• Writing high-coverage test suites for complex codebases; and
• Guiding project development with software engineering best practices, including version control, continuous integration, and design patterns. 

Data Engineering concentration responsibilities may include:

• Sourcing, curating, and processing diverse data sources across domains and modalities, including automated collection of internet-scale datasets; 
• Designing data architecture schemata, implementing with production-grade data storage tools, and interfacing via custom APIs; and 
• Developing front-end dashboards and other visualizations.  

Machine Learning concentration responsibilities may include:

• Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer vision models;
• Building agentic systems for automated prompting, red-teaming, research, and rapid experimentation; 
• Supporting projects with specialized knowledge of frontier model architectures and cutting-edge technology. 

We’re looking for someone who: 

• Brings curiosity and creativity to ambiguous research problems, with a bias toward experimentation and rapid iteration; 
• Thrives in collaborative, interdisciplinary environments; is resourceful, proactive, and adaptable;
• Is comfortable communicating technical ideas clearly to both technical and non-technical audiences; and 
• Is excited about contributing to real-world applications and exploring new methods that push beyond standard benchmarks. 

Requirements:

• Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on-experience
• Strong Python background
• Clear communicator of technical concepts for non-technical audiences

Nice to have:

• Familiarity with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner), workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub), and ML services (e.g., Vertex AI, Compute Engine)
• Experience managing full lifecycle projects from design to deployment

Software Engineering: 

• • Experience designing and building end-to-end backend systems, from architecture and data modeling to deployment, scaling, and monitoring
  • Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and experience building secure systems, APIs, and microservices
  • Knowledge of security best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack vectors (SQL injection, privilege escalation, DDoS) and effective mitigation strategies

Data Engineering: 

• • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)

Machine Learning Engineering: 

• • Computer vision skills (OCR, image classification, deep fake detection)
  • Familiarity with multimodal learning (text-image or text-audio) or cross-domain model evaluation
  • Exposure to MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)
  • Understanding of modern retrieval-augmented generation (RAG), AI agent frameworks, and context-aware orchestration (e.g., LangChain, LlamaIndex, OpenAI Agents, or AutoGen) for building intelligent applications

Benefits:

• Flexible start / end dates
• Remote work (based in the continental U.S.) 
• Flexible schedule, up to 20 hours per week (negotiable)
• Hourly pay commensurate with experience and qualifications
• $30 per hour for undergraduate students 
• $35 per hour for graduate students
• $50 per hour for advanced PhD students
• $60 per hour for postdocs or non-tenured positions
• $125 per hour for tenure-track academics

Thank you for submitting your application. If there's a good fit, a member of the 10a Labs team will reach out to discuss next steps.

Our client’s team is responsible for identifying and investigating misuses of their products – especially new types of abuse–and creating systems of defence to address them. Part of this team specialises in the latter, and they need additional support to help them monitor abuse on product launches and design and build scaled detection, review, enforcement, and measurement for uncovered risks. This position is a Full-Time (40 hours per week), contract position.

About The Role:

Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within the client team, you will assist in designing and building systems to proactively identify and enforce on abuse on their AI products. This includes ensuring they have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against the highest risk harms.  You will also respond to and investigate critical escalations, especially those that are not caught by existing safety systems. This will require developing understanding of the products and data, and working cross-functionally with product, policy, and engineering teams. 

You will need a strong ability to use SQL and python to query, transform, and understand data, and to build and improve prototype detection. An investigative mindset is key, with experience in identifying and enforcing on bad actors (in any industry). A background including data science, machine learning and classification basics, AI, and/or threat investigation is a plus.

This is a remote position, based in London, UK.  The position includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours, for at least 7 consecutive days per quarter. Some detection and investigations may involve exposure to sensitive and distressing content, including sexual, violent, or otherwise-disturbing material. 

In This Role, You Will:

• Scope and implement abuse monitoring requirements for new product launches.
• Improve processes to sustain monitoring operations for existing products, including developing approaches to automate monitoring subtasks. 
• Prototype and mature into production systems of detection, review, and enforcement of abuse for major harms.
• Work with Product, Policy, Ops, and Investigative teams to understand key risks and how to identify and address them, and with Engineering teams to ensure we have sufficient data and scaled tooling. 

Requirements:

• Ability to work remotely on GMT and must be geographically located in the UK.
• Quantitative and coding background , including statistics/metrics and proficiency in python and SQL.
• Experience in identifying (and ideally enforcing on) bad actors with scaled tooling.
• Ability to be on-call approximately once a quarter that will involve resolving urgent escalations outside of normal work hours, including occasional evenings and weekends
• Ability to rapidly context switch across domains, modalities, and abuse areas, to include high severity areas like violent activities and child safety
• Excited to work in a fast paced, ambiguous, and purposeful space with high impact across users and beyond, and to learn quickly. 

Desired Qualities (but not required):

• Background in machine learning and classification, especially on novel or poorly understood behaviours.
• Experience scaling and automating processes, especially with language models.
• Experience working with scaled labellers or reviewers, particularly at scale.
• Familiarity with one of the following topics/areas: AI safety, child safety, abuse by nation state and other malicious actors, digital mental health, fraud abuse, radicalization/persuasion/grooming; hateful activities and groups.

3–8 Years of Industry Experience | Remote | High-Impact

About the Role: We’re looking for an infrastructure-focused engineer who thrives at the intersection of machine learning, systems, and product delivery. This is a hands-on role responsible for deploying, monitoring, and scaling a real-time ML-powered content moderation system used to detect and triage abuse, threats, and edge-case language. You’ll work closely with ML engineers, researchers, and clients to build infrastructure that makes high-performance models accessible and reliable in the wild.

In This Role, You Will:

• Design and maintain cloud infrastructure (GCP or AWS) to support real-time model serving, data ingestion, and evaluation workflows.
• Deploy and optimize APIs for low-latency access to ML models and embedding search systems.
• Manage and optimize the end-to-end training data flow—from sourcing and cleaning datasets to preparing them for model consumption—ensuring accuracy, scalability, and efficiency.
• Build observability tooling for production ML pipelines (monitor latency, error rates, request volumes, drift).
• Automate model deployment, retraining, and evaluation pipelines (CI/CD for ML).
• Work with ML engineers to package models for serving.
• Help manage vector databases and semantic search infrastructure (e.g., Pinecone, FAISS, Vertex Matching Engine).
• Ensure security, compliance, and uptime of infrastructure supporting safety-critical systems.

We’re Looking for Someone Who:

• Has 3–8 years of experience deploying machine learning systems or high-availability backend systems.
• Has shipped and maintained production infrastructure at scale, supporting ML workflows.
• Has experience with GCP, AWS, or similar platforms (including managed ML services).
• Is proficient in Terraform, Docker, Kubernetes, or similar infra tools.
• Understands performance tradeoffs in serving models and embedding search pipelines.
• Can work cross-functionally with ML, security, and product teams to deploy safely and iterate fast.
• Brings a builder's mindset and bias for ownership in ambiguous environments.

Nice to Have Experience With:

• Experience with vector databases or ANN systems, preferably within GCP (or AWS).
• Experience serving LLMs or embedding-based models via API.
• Experience with model monitoring, logging, and metrics platforms (e.g., Prometheus, Grafana, Sentry).
• Familiarity with trust & safety infrastructure, abuse detection, or policy enforcement systems.

What Success Looks Like in the First 3 Months:

• You’ve deployed and monitored a real-time ML inference system with well-defined observability.
• You’ve implemented an API with latency under 200ms for embedding or classifier-based inference.
• You’ve partnered with ML engineers to streamline deployment and retraining workflows.
• You’ve built logging and monitoring that gives insight into system performance and classifier behavior.

Compensation & Benefits:

• Salary Range: $130K–$230K, depending on experience and location.
• Bonus: Performance-based annual bonus.
• Professional Development: Support for continuing education, conferences, or training.
• 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.

About the role: 10a Labs is seeking an AI Engineer for a four-month contract (potential to extend) to partner closely with engineers and internal teams to design and implement cutting-edge AI solutions. You’ll build practical systems that leverage modern language models that will be applied to real-world problems.

This role blends applied AI expertise, strong engineering fundamentals, and creative problem-solving. You’ll prototype quickly, iterate rapidly, and translate emerging model capabilities into reliable, production-ready systems.

In this role, you will: 

• Design and implement AI-driven systems using AI APIs in creative and smart ways.
• Build prototypes and production workflows that leverage language models for tasks such as classification, evaluation, and synthetic data generation.
• Integrate AI APIs, vector stores, and supporting infrastructure to enable scalable applications.
• Experiment with and evaluate both hosted and open-source models where appropriate.
• Partner with product managers, analysts, and technical writers to translate complex systems into well-defined requirements and clear external materials.
• Provide technical feedback to product and engineering teams to improve system quality and performance.

We’re looking for someone who: 

• Has experience in AI engineering, software engineering, or applied ML roles.
• Is highly comfortable using modern coding copilots and model-assisted development tools (e.g., Claude Code, Codex, or similar).
• Has hands-on experience working with model provider APIs.
• Is scrappy, creative, and able to iterate quickly in ambiguous problem spaces.
• Operates with autonomy and strong problem-solving skills, managing multiple projects simultaneously.
• Is collaborative, detail-oriented, and thrives in fast-moving, high-impact environments.
• Has experience with end-to-end ownership of complex technical challenges.

Requirements:

• At least 1+ year experience in AI engineering or research, or 3-5 years of experience in software engineering or similar roles.
• Strong applied AI experience, including working knowledge of AI systems and AI APIs or open-source models.
• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) and retrieval-augmented generation (RAG) architectures.

Role overview: As a Security Engineer, you will be on the front line of securing cutting-edge AI systems. You’ll identify vulnerabilities, build protections into code and workflows, and partner with researchers to reduce risks from adversarial actors. This role requires strong technical skills, a security-first mindset, and comfort working in a fast-paced, startup environment where threats and priorities evolve quickly.

In this role, you will:

• Conduct threat modeling, vulnerability assessments, and red-team style testing of AI-related systems.
• Design and implement security controls across infrastructure, applications, and data pipelines.
• Build, operate, and maintain detection, monitoring, and incident response capabilities, including investigating incidents and driving remediation.
• Collaborate with engineers and researchers to embed security best practices into the design and deployment of AI systems.
• Develop automation, tooling, and documentation to improve security operations and reduce manual effort.
• Stay current on emerging threats — particularly those related to AI/ML, cloud, and large-scale distributed systems.

We're looking for someone who:

• Brings deep experience in cybersecurity, threat detection, or a related area.
• Thrives in fast-moving, high-impact environments such as startups, AI research labs, or security-focused teams.
• Enjoys tackling complex, ambiguous problems and adapts quickly as priorities evolve.
• Takes initiative, communicates openly, and consistently pushes themselves — and their team — to deliver high-quality results.
• Works effectively both independently and collaboratively, contributing to team goals while managing projects with accountability.
• Can clearly communicate technical security concepts and risk trade-offs to both engineering and non-technical audiences.

Requirements:

• Degree in Computer Science, Engineering, Cybersecurity, or a related field — or equivalent professional experience. 
• 3+ years of hands-on experience in security engineering, application security, detection & response, or penetration testing.
• Proficient in pertinent programming/scripting languages (e.g., Python, Go, bash/ powershell, etc.).
• Strong knowledge of secure software development practices, including threat modeling, code review, and DevSecOps principles.
• Solid understanding of cloud security concepts (IAM, VPCs, encryption, logging/monitoring) and secure deployment practices.
• Familiarity with modern infrastructure, containerization (Docker, Kubernetes), and scalable distributed systems.
• Experience effectively communicating complex security topics to technical and non-technical stakeholders.

Very Nice to Have:

• Hands-on experience securing AI/ML systems, data pipelines, or large-scale distributed environments.
• Background in offensive security (exploit development, red teaming, adversary simulation).
• Familiarity with AI-specific risks such as prompt injection, model theft, data poisoning, or adversarial ML.

Compensation & Benefits:

• Salary Range: $105K–$125K, depending on experience and location.
• Bonus: Performance-based annual bonus.
• Professional Development: Support for conferences, continuing education, or leadership training.
• 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.

10a Labs’ Investigations Team needs additional support to respond to critical safety incidents and conduct investigations across a range of abuse areas, including but not limited to Violence, Hate, Mental Health, CBRNE, Child Safety, Cyber Abuse and more. 

About the Role:

As a Threat Investigator, you will be supporting our London-based Europe, Middle East, and Africa (EMEA) Investigations Team. You will be responsible for detecting and/or responding to malicious use and abuse on our platform, investigating activity, drafting reports based on your findings, and making recommendations. This will require technical experience investigating threat actors, harmful behaviors, cyber abuse, and/or other activities; as well as 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.

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. 
• Europe, Middle East, or Africa-based, with the ability to work London/GMT hours (9am - 5pm GMT).
• 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.

Desired Qualities (but not required):

• Based in London, UK preferred, but not required. This is a remote position. 
• Expertise with risk and abuse related to AI platforms. 
• EMEA geopolitical expertise and/ or professional experience as an EMEA-based Threat Investigator.
• 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, prompt injection, litigation, scams and fraud abuse, radicalization/persuasion/grooming, hateful activities and groups. 

10a Labs’ Investigations Team needs additional support to respond to critical safety incidents and conduct investigations across a range of abuse areas, including but not limited to Violence, Hate, Mental Health, CBRNE, Child Safety, Cyber Abuse and more. 

About the Role:

As a Threat Investigator, you will be supporting our remote-first, Sydney-based Asia-Pacific (APAC) Investigations Team. You will be responsible for detecting and/or responding to malicious use and abuse on our platform, investigating activity, drafting reports based on your findings, and making recommendations. This will require technical experience investigating threat actors, harmful behaviors, cyber abuse, and/or other activities; as well as 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.

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. 
• Asia Pacific-based, with the ability to work Sydney hours (9am - 5pm local time).
• 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.

Desired Qualities (but not required):

• Expertise with risk and abuse related to AI platforms. 
• EMEA geopolitical expertise and/ or professional experience as an EMEA-based Threat Investigator.
• Full professional proficiency in Arabic, Chinese, Korean, Japanese, 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, prompt injection, litigation, scams and fraud abuse, radicalization/persuasion/grooming, hateful activities and groups. 

About The role: We’re looking for an experienced ML engineer with a strong foundation in traditional ML and hands-on experience applying those skills to modern LLM systems. This is an applied role for someone who owns the full ML lifecycle—from data pipelines and model training to evaluation, deployment, and ongoing iteration in real-world production environments.

At least 3–8+ Years of Industry Experience Required

In This Role, You Will:

• Build and deploy a multi-stage classification system optimized for high throughput and low latency, while ensuring high recall and precision.
• Integrate continuous feedback loops from human review to refine model performance.
• Design and implement real-world ML systems with a focus on robustness, observability, and scalability.
• Collaborate with researchers and SMEs to generate training data and test against edge cases.
• Work closely with a broader team of engineers to integrate ML components into production systems and ensure end-to-end system performance.

We’re Looking For Someone Who:

• Has designed and deployed full ML pipelines (data ingestion → model training → evaluation → deployment → feedback).
• Comfortable working with noisy or adversarial real-world data, not just clean benchmarks.
• Understands the performance tradeoffs between recall, precision, latency, and cost—and knows how to tune for impact.
• Moves fast with strong instincts for where to prototype, where to systematize, and how to deliver models that hold up in production.
• Brings curiosity, creativity, innovation, and a bias for action in ambiguous environments.

Requirements:

• At least 3–8+ years of professional working experience as a Machine Learning engineer, building, owning and deploying machine learning systems in production.
• Strong foundation in traditional ML techniques (e.g., clustering, anomaly detection, supervised learning).
• Hands-on experience with LLMs (e.g., OpenAI, Claude, LLaMA), including fine-tuning and prompt engineering.
• Proficiency in Python and modern ML / NLP tooling.
• Experience training models on small datasets and using in-context learning techniques.
• Familiarity with text processing pipelines, semantic embeddings, and vector search.
• Clear communicator of complex technical concepts to non-technical audiences.
• Experience deploying models in cloud environments (e.g., AWS, GCP).
• Experience designing or integrating human-in-the-loop systems for model evaluation or policy alignment.

Nice To Have Experience With:

• Real-time ML pipelines.
• Scaled moderation or large-scale threat detection.
• Vision, audio, OCR, or deepfake classification.
• Designing multilingual embedding systems with code-switch detection.
• Agentic pipelines for explainable or rationale-based moderation.
• Rapid prototyping using modern LLM APIs and frameworks (e.g., OpenAI, Hugging Face, LangChain).
• Error analysis and model forensics—comfortable diving into false positives and failure modes.

What Success Looks Like in the First 3 Months:

• You’ve designed and deployed a functioning moderation system using semantic embeddings and fine-tuned classifiers to detect abuse at scale.
• You've designed and refined at least one model evaluation pipeline, including precision / recall tracking and false positive analysis.
• You've contributed meaningful ideas to data strategy—synthetic generation, clustering schema, or policy alignment tuning.
• You’ve owned a full subsystem—from ideation to deployment—and seen it hold up under real usage and scrutiny.

Compensation & Benefits:

• Salary Range: $150K–$250K, depending on professional experience, location, and other factors.
• Bonus: Performance-based annual bonus.
• Professional Development: Support for continuing education, conferences, or training.
• 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.

In This Role, You Will

• Develop and run adversarial test suites—both manual and scripted—for LLMs and image / video models.
• Craft multilingual prompts, jailbreaks, and escalation chains targeting policy edge cases.
  Analyze outputs, triage failures, and write concise vulnerability reports.
• Contribute to internal tooling (e.g., prompt libraries, scenario generators, dashboards).

We’re Looking for Someone Who

• Has 2-4 years of experience in red-teaming, security research, trust & safety, or related fields.
• Is comfortable scripting basic tests (Python, Bash, or similar) and working in Jupyter or prompt-engineering tools.
• Communicates clearly in English and at least one additional language (ideally major non-English language relevant to global threat landscapes).
• Thinks like an adversary, documents findings crisply, and iterates quickly.

Requirements

• Bachelor’s degree—or equivalent experience—in CS, data science, linguistics, international studies, or security.
• Basic proficiency with Python and command-line tools.
• Demonstrated interest in AI safety, adversarial ML, or abuse detection.
• Strong writing skills for short vulnerability reports and long-form analyses.
• Ability to rapidly context switch across domains, modalities, and abuse areas.
• Excited to work in a fast-paced and ambiguous space.

Nice to Have

• Full professional proficiency in Arabic, Chinese, Farsi, Portuguese, Russian, or Spanish, as well as English.
• Prior work in content moderation, disinformation analysis, or cyber-threat intelligence.
• Experience with prompt-automation frameworks (e.g., Promptfoo, LangChain, Garak).
  Familiarity with vector search or LLM fine-tuning workflows.
• Formal training or certification in red-teaming or penetration testing.

Compensation & Benefits

• Salary range: $70K–$90K depending on experience.
• Opportunity for spot bonuses and annual performance-based bonus.
• Fully remote (U.S.-based) with flexible hours.
• Comprehensive health, dental, and vision.
• Generous PTO and paid holidays.
• 401(k) plan.
• Professional-development stipend for courses, conferences, or language study.
• We reward excellence with growth—team members who excel have clear paths for promotion and skill development.