10a Labs

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. 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

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. 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 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 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. 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

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. Software Engineer, Backend 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. 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

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 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 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

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 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: We are hiring a Senior Recruiting Manager 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 - Design and improve 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are hiring a Senior Recruiting Manager 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 - Design and improve 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. 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