Qureos Mentor

Alignerr

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 About The Role
 
 
 
 We're looking for economists with public policy experience to help shape how AI understands and reasons about real-world policy challenges. Your expertise will directly influence the quality of AI-generated economic analysis &mdash; from regulatory frameworks to welfare programs &mdash; making a tangible impact on one of the most important technologies of our time.
 
 
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 Organization: Alignerr (Powered by Labelbox)
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 Type: Hourly / Task-based Contract
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 Location: Remote
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 Commitment: 10&ndash;40 hours/week
 
 
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 What You'll Do
 
 
 
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 Review and evaluate AI-generated public policy questions, explanations, and economic analyses for accuracy and rigor
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 Assess economic reasoning across areas including regulation, welfare policy, public programs, and fiscal policy
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 Provide clear, structured feedback to improve the clarity, depth, and real-world relevance of AI outputs
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 Apply your applied economics expertise to validate scenarios, arguments, and conclusions
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 Work independently and asynchronously on your own schedule &mdash; no meetings required
 
 
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 Who You Are
 
 
 
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 3+ years of experience working or teaching in public economics, applied economics, or a closely related field
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 Strong grasp of policy analysis, cost-benefit reasoning, and economic tradeoffs
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 Able to critically evaluate written economic arguments and policy recommendations
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 Skilled at providing detailed, constructive written feedback
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 Self-motivated and comfortable working independently on task-based projects
 
 
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 Nice to Have
 
 
 
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 Graduate degree in Economics, Public Policy, or a related discipline
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 Professional experience in government agencies, think tanks, or policy research institutions
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 Familiarity with AI systems or content evaluation workflows
 
 
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 Why Join Us
 
 
 
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 Work on cutting-edge AI projects with top research labs shaping the future of large language models
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 Fully remote and flexible &mdash; work on your own schedule, from anywhere
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 Freelance perks: autonomy, variety, and collaboration with experts across the globe
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 Contribute to meaningful work that improves how AI reasons about economics and public policy
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 Potential for ongoing work and contract extension
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 </ul>
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Public Policy Economist (AI Training)

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 Incident Response Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're partnering with leading AI research labs to build the next generation of AI-powered security tools &mdash; and we need experienced incident responders to help make them real.
 
 
 As an Incident Response Analyst, you'll work with realistic security incident data to evaluate, challenge, and improve AI systems designed to detect threats, correlate alerts, and support digital investigations. Your hands-on experience in security operations is exactly what's needed to make AI smarter and more accurate in this domain.
 
 
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 Organization: Alignerr
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 Type: Hourly Contract
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 Location: Remote
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 Commitment: 10&ndash;40 hours/week
 
 
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 </ul>
 
 What You'll Do
 
 
 
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 Analyze real-world security events, alerts, and incident cases
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 Identify root cause, assess impact, and determine appropriate remediation steps
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 Evaluate detection rules, alerting pipelines, and investigative playbooks for accuracy and effectiveness
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 Review and validate AI-generated incident analysis to ensure it reflects how real SOC teams operate
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 Provide structured, expert feedback that directly shapes how AI handles security investigations
 
 
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 Who You Are
 
 
 
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 2+ years of hands-on experience in SOC, incident response, or security operations
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 Proficient with SIEM platforms, alert queues, and investigation tooling
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 Skilled at separating meaningful threats from noise in high-volume alert environments
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 Detail-oriented with strong written communication skills
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 Self-motivated and comfortable working independently on async, task-based assignments
 
 
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 Nice to Have
 
 
 
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 Experience with threat hunting, digital forensics, or malware analysis
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 Familiarity with frameworks like MITRE ATT&amp;CK or NIST IR
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 Background in cloud security, endpoint detection, or network forensics
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 Prior experience in AI data annotation or evaluation workflows
 
 
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 Why Join Us
 
 
 
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 Work directly on frontier AI systems alongside top research labs
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 Fully remote and flexible &mdash; work on your own schedule
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 Freelance perks: autonomy, variety, and global collaboration
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 Meaningful impact &mdash; your expertise helps define how AI understands cybersecurity
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 Potential for ongoing work and contract extension
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 </ul>
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Incident Response Analyst

<div>
 
 About The Role
 
 
 
 We're looking for finance lecturers and economists to help shape how the next generation of AI systems understands financial and economic reasoning. Your expertise will directly influence how AI explains valuation, risk, market behavior, and more &mdash; making a real impact on the quality and trustworthiness of AI in one of the world's most consequential domains.
 
 
 <ul>
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 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
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 </ul>
 
 What You'll Do
 
 
 
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 Review and evaluate finance-related questions, answers, and explanations used in AI training
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 Assess the accuracy and clarity of concepts such as corporate valuation, risk modeling, and market behavior
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 Identify common misconceptions and logical gaps in AI-generated financial reasoning
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 Provide structured, actionable feedback to improve the quality and reliability of AI outputs
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 Work independently and asynchronously on your own schedule
 
 
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 Who You Are
 
 
 
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 3+ years of experience teaching finance or economics at the postsecondary level
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 Strong command of corporate finance, financial markets, or financial economics
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 Ability to evaluate written financial reasoning with precision and clarity
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 Comfortable reviewing and rating structured content at scale
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 Self-motivated and reliable when working independently
 
 
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 Nice to Have
 
 
 
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 Graduate degree in Finance, Economics, or a related field
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 Industry or applied finance experience (investment banking, asset management, consulting, etc.)
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 Familiarity with AI systems, model evaluation, or data annotation workflows
 
 
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 Why Join Us
 
 
 
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 Work on cutting-edge AI projects with top research labs
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 Fully remote and flexible &mdash; work on your own schedule
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 Freelance perks: autonomy, variety, and global collaboration
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 Use your teaching expertise to shape how AI reasons about finance at a global scale
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 Potential for ongoing work and contract extension
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 </ul>
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Finance Lecturer (AI Training)

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 Econometrics Instructor (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands and communicates complex econometric concepts &mdash; making a real impact on the future of AI in economics and data science.
 
 
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 Organization: Alignerr (Powered by Labelbox)
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 Type: Hourly Contract
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 Location: Remote
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 Commitment: 10&ndash;40 hours/week
 
 
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 </ul>
 
 What You'll Do
 
 
 
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 Review and validate econometric questions, models, and explanations used in AI training
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 Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
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 Provide structured, expert feedback to improve AI reasoning quality and clarity
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 Apply your real-world teaching experience to identify errors, misconceptions, and edge cases
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 Work independently and asynchronously on your own schedule
 
 
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 Who You Are
 
 
 
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 3+ years of experience teaching econometrics or quantitative economics
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 Strong command of regression analysis, causal inference, and statistical methods
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 Able to clearly explain and rigorously evaluate quantitative reasoning
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 Comfortable reviewing and critiquing structured technical content
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 Detail-oriented, self-motivated, and reliable
 
 
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 Nice to Have
 
 
 
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 Master's or PhD in Economics, Statistics, or a related field
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 Hands-on experience with statistical tools such as R, Stata, or Python
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 Familiarity with AI systems, model evaluation, or data annotation workflows
 
 
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 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
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 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
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 Contribute to meaningful work that shapes how AI reasons about economics and data
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 Potential for ongoing work and contract extension
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 </ul>
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Econometrics Instructor

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 Data Security &amp; DLP Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're partnering with leading AI research labs to build AI systems that truly understand data security &mdash; how sensitive information moves, where it gets exposed, and how organizations defend against it. If you've worked in data security or compliance and know how real-world data leaks actually happen, this is your opportunity to put that expertise to work shaping the next generation of AI.
 
 
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 Organization: Alignerr
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 Type: Hourly Contract
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 Location: Remote
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 Commitment: 10&ndash;40 hours/week
 
 
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 What You'll Do
 
 
 
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 Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
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 Classify data sensitivity levels, exposure paths, and policy violations
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 Evaluate prevention, detection, and incident response strategies for accuracy and completeness
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 Generate, label, and validate data security cases used to train and benchmark AI systems
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 Help AI models reason more accurately about sensitive information risk and DLP controls
 
 
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 Who You Are
 
 
 
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 2+ years of experience in data security, compliance, information security, or security operations
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 Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.)
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 Practical understanding of how data risk plays out in real enterprise environments
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 Able to identify nuanced exposure scenarios and articulate why they matter
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 Detail-oriented with strong written communication skills
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 Comfortable working independently and asynchronously
 
 
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 Nice to Have
 
 
 
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 Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint, Nightfall)
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 Background in cloud security, insider threat detection, or security operations
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 Familiarity with data governance or privacy engineering
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 Experience writing security policies, incident reports, or compliance documentation
 
 
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 Why Join Us
 
 
 
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 Work directly on frontier AI systems with real-world security impact
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 Fully remote and flexible &mdash; work on your own schedule
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 Freelance perks: autonomy, variety, and global collaboration
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 Contribute expertise that makes AI safer and more trustworthy
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 Potential for ongoing work and contract extension
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 </ul>
</div>

Data Security & DLP Analyst

<div>
 
 Threat Intelligence Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 We partner with the world's leading AI research labs to build smarter, more capable AI systems. Right now, we're looking for experienced threat intelligence professionals to bring real-world expertise to frontier AI development.
 
 
 Your knowledge of adversaries, campaigns, TTPs, and CTI workflows will directly shape how AI understands and reasons about cybersecurity threats. This is a rare opportunity to put your security expertise to work at the cutting edge of AI &mdash; on your own schedule, from anywhere.
 
 
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 Organization: Alignerr
 </li>
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 Type: Hourly Contract
 </li>
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 Location: Remote
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 Commitment: 10&ndash;40 hours/week
 
 
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 </ul>
 
 What You'll Do
 
 
 
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 Analyze and classify real-world threat reports, adversary campaigns, and attack narratives
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 Evaluate indicators of compromise, TTPs, and end-to-end attack chains
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 Generate, structure, and validate threat intelligence data used to train and assess AI systems
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 Review AI-generated security outputs for technical accuracy, consistency, and realism
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 Distinguish authentic attacker behavior from noise, fabricated scenarios, or low-quality data
 
 
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 Who You Are
 
 
 
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 2+ years of experience in threat intelligence, SOC analysis, or security research
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 Familiar with MITRE ATT&amp;CK, OSINT collection, or CTI workflows
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 Able to critically evaluate threat data and identify what's real versus fabricated
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 Strong analytical and written communication skills &mdash; you can explain complex threats clearly
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 Self-motivated and comfortable working independently on task-based assignments
 
 
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 Nice to Have
 
 
 
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 Experience writing or consuming structured threat intelligence reports (e.g., SIRs, TIPs)
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 Familiarity with threat actor tracking, attribution, or campaign analysis
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 Background in red team, malware analysis, or incident response
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 Prior work with AI platforms or data annotation tools
 
 
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 Why Join Us
 
 
 
 <ul>
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 Work directly on frontier AI systems alongside top research labs
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 Fully remote and flexible &mdash; structure your hours around your life
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 Freelance autonomy with meaningful, intellectually engaging work
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 Your expertise shapes how AI understands one of the most complex domains in tech
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 Potential for ongoing work and contract extension
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 </ul>
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Threat Intelligence Analyst

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 Security Operations Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're partnering with leading AI research labs to build the next generation of security-aware AI systems. As a Security Operations Analyst, your hands-on SOC experience will directly shape how AI understands, reasons through, and responds to real-world cyber threats.
 
 
 This is a unique opportunity to apply your threat detection and incident response expertise beyond the SOC &mdash; and leave a lasting mark on how AI handles security at scale.
 
 
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 Organization: Alignerr
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 Type: Hourly Contract
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 Location: Remote
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 Commitment: 10&ndash;40 hours/week
 
 
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 </ul>
 
 What You'll Do
 
 
 
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 Analyze realistic SOC scenarios &mdash; alerts, incidents, and investigations &mdash; and document how you reason through them
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 Classify severity levels, identify root causes, and recommend appropriate response actions
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 Review and evaluate AI-generated detection logic and investigation workflows for accuracy and realism
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 Validate AI outputs to ensure they reflect how experienced analysts actually think and operate
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 Provide structured, expert feedback that directly improves AI behavior in security contexts
 
 
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 </ul>
 
 Who You Are
 
 
 
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 2+ years of experience in SOC, incident response, or security operations
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 Hands-on familiarity with SIEM platforms, alert triage, and investigation workflows
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 Strong ability to distinguish true threats from background noise and false positives
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 Clear written communication skills &mdash; you can explain your reasoning, not just your conclusions
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 Self-motivated and comfortable working independently on task-based assignments
 
 
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 </ul>
 
 Nice to Have
 
 
 
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 Experience with threat intelligence, detection engineering, or purple team exercises
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 Familiarity with AI systems or previous AI evaluation work
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 Background in writing detection rules, runbooks, or incident documentation
 
 
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 </ul>
 
 Why Join Us
 
 
 
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 <li>
 Work on frontier AI projects alongside world-class research teams
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 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Make a real impact on how AI understands cybersecurity at a foundational level
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Security Operations Analyst

Join Alignerr and explore 28   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.