Trabajos research engineer en Glen Cove, New YorkCrear alertas

$50 - $90/hourpayCyber SecurityExploit ChainsCloud/AppsecMalware/Social Engineering Boundariesmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Red Team Lead (Offensive Cybersecurity) Role Type: Contractor Location: Remote micro1 is engaging Red Team Leads (Offensive Cybersecurity) to contribute expertise to a customer's critical cybersecurity project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to modern threat landscapes., • Design and validate evaluation frameworks for offensive security, focusing on real-world scenarios involving exploit chains, malware, cloud/appsec, and social engineering., • Create safe and effective proxy tasks to simulate advanced attack vectors while maintaining strict boundaries and ethical controls., • Formulate robust scoring rubrics to assess attack sophistication, coverage, and impact across diverse domains., • Review, critique, and enhance benchmarks for red team operations to ensure alignment with evolving security risks and best practices., • Produce clear, well-documented methodologies and technical write-ups, communicating complex security concepts to both technical and non-technical audiences., • Collaborate asynchronously with project stakeholders to iterate on frameworks and incorporate feedback into deliverables. Preferred Qualifications • 5+ years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research (8–20 years preferred for senior contributors)., • Track record as a principal security engineer, exploit developer, cloud red-team lead, malware reverse-engineer, or security researcher specializing in attack chains or social engineering., • Deep expertise in cyber attack methodologies, exploit chains, and cloud/application security assessments., • Strong background in malware analysis, reverse engineering, and/or social engineering tactics and defenses., • Demonstrated ability to produce clear, actionable written and verbal communication for a variety of audiences., • Advanced degree, relevant professional security certifications, or equivalent operational experience highly valued., • Experience building benchmarking or evaluation frameworks in cybersecurity is a plus.

$80 - $90/hourpayCalculusData Analysis & InterpretationLiterature ReviewExperimental DesignResearch Methodologymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Deliver authoritative written responses to complex engineering prompts in your area of expertise, • Review and interpret scientific literature to provide contextually accurate and current insights, • Design and document realistic experimental scenarios based on advanced engineering principles, • Analyze data and interpret results to inform AI training datasets with precision, • Apply sophisticated calculus and quantitative methodologies to problem-solving tasks, • Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines, • Collaborate with project coordinators to refine prompt response quality as needed Preferred Qualifications • PhD in Electrical, Mechanical, or Chemical Engineering, • Demonstrated expertise in calculus, data analysis, research methodology, and experimental design, • Exceptional written and verbal communication skills with the ability to convey complex concepts clearly, • Strong literature review capabilities and familiarity with synthesizing scientific knowledge, • Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required), • Proven ability to produce "golden response" level deliverables with accuracy and completeness, • Detail-oriented mindset and commitment to high-quality, impactful contributions

mechanical engineeringtechnical document analysisproblem-solvingwritten and verbal communicationdata analysisattention to detailself-managementinterdisciplinary collaborationtechnical content creationdata quality assurancemicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Mechanical Engineer Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation

Howard Hughes Medical Institute (HHMI) in Port Washington, New York, is looking for a skilled Mechanical Engineer to enhance research on neural circuits in fruit flies. The ideal candidate should possess a Bachelor's degree in engineering or related fields and demonstrate proficiency in mechanical d