Qureos Mentor

Alignerr

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 Wildlife and Habitat Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking wildlife and habitat conservation scientists to help evaluate AI systems trained on biodiversity protection and ecosystem management.
 
 
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 Organization: Alignerr (Powered by Labelbox)
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 Location: Remote
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 Type: Hourly / Task-based Contract
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 Compensation: $30-55 /hour
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 Commitment: 10-40 hours/week
 
 
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 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
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 Review wildlife and habitat conservation scenarios used in AI training.
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 Assess accuracy of ecological reasoning and conservation strategies.
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 Identify unrealistic assumptions or misapplied conservation methods.
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 Provide structured feedback to improve ecological validity.
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 Work independently and asynchronously to meet project deadlines.
 
 
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 </ul>
 
 Who You Are
 
 
 
 <ul>
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 3+ years of experience in wildlife biology, ecology, or habitat conservation.
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 Strong understanding of biodiversity and ecosystem management.
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 Able to evaluate applied ecological reasoning in written form.
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 Comfortable reviewing structured scientific content.
 
 
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 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Ecology, Wildlife Biology, or related field.
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 Field research or conservation program experience.
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 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Wildlife and Habitat Conservation Scientist

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 
 
 We&rsquo;re looking for practitioners who understand vulnerabilities, exposure management, and remediation in real environments. You&rsquo;ll work with real-world data and scenarios that reflect how security teams actually discover, prioritize, and fix risk across modern systems.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Vulnerability Management Analyst
 
 Type
 
 : Contract / Task-Based
 
 Compensation
 
 : $35&ndash;$60 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications
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 Classify severity, impact, exploitability, and remediation strategies
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 Review patching, mitigation, and remediation decision-making scenarios
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 Help generate, label, and validate realistic security-reasoning data used to evaluate and improve AI systems
 
 
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 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years in vulnerability management, security operations, or infrastructure security
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 Familiar with CVEs, scanners, patching workflows, and risk prioritization frameworks
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 Understand the tradeoffs between theoretical risk and what actually matters in production
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 A clear, structured, and analytical thinker
 
 
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 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Work directly on frontier AI systems.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10&ndash;15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Vulnerability Management Analyst

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 
 
 We&rsquo;re looking for analysts who understand adversaries, campaigns, and real-world threat-intelligence workflows. You will work with realistic reporting, indicators, and attack narratives to help model how threats are tracked, analyzed, and communicated in practice.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Threat Intelligence Analyst
 
 Type
 
 : Contract / Task-Based
 
 Compensation
 
 : $35&ndash;$60 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze and classify threat reports, campaigns, and adversary behavior
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 <li>
 Evaluate indicators, TTPs, and end-to-end attack narratives
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 Help generate, structure, and validate threat-intelligence data used to train and assess AI systems
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 Review AI-generated outputs for accuracy and consistency
 
 
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 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years in threat intelligence, SOC, or security analysis roles
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 <li>
 Familiar with MITRE ATT&amp;CK, OSINT collection, or CTI workflows
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 Ability to distinguish real attacker behavior from noise or fabricated data
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 <li>
 Strong analytical, research, and writing skills
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Work directly on frontier AI systems.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10&ndash;15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Threat Intelligence Analyst

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 
 
 We&rsquo;re building and evaluating advanced AI systems that reason through security incidents, alerts, and investigations in order to better mirror real-world response environments. You will work with realistic SOC scenarios to ensure AI outputs reflect how analysts actually detect, triage, and respond to threats.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Security Operations Analyst
 
 Type
 
 : Contract / Task-Based
 
 Compensation
 
 : $30&ndash;$60 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze incident and alert scenarios to understand what is happening and why it matters
 </li>
 <li>
 Classify severity, determine root causes, and recommend appropriate response actions
 </li>
 <li>
 Review detection logic and investigation workflows
 </li>
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 Help validate AI outputs so they align with how security analysts work in practice
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years in SOC, incident response, or security operations roles
 </li>
 <li>
 Familiarity with SIEM platforms, alert triage, and investigation workflows
 </li>
 <li>
 Ability to distinguish true security signals from background noise and false positives
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Work directly on frontier AI systems.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10&ndash;15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Security Operations Analyst

<div>
 
 About The Role
 
 
 
 We&rsquo;re seeking economists with public policy experience to help assess and improve AI-generated policy analysis and applied economics content.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Compensation: $35-70 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review policy-focused economics questions and explanations used in AI training.
 </li>
 <li>
 Evaluate economic reasoning related to regulation, welfare, and public programs.
 </li>
 <li>
 Provide structured feedback to improve clarity, rigor, and real-world relevance.
 </li>
 <li>
 Apply applied economics experience to validate scenarios and conclusions.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching or working in public or applied economics.
 </li>
 <li>
 Strong understanding of policy analysis and economic tradeoffs.
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 <li>
 Able to assess written economic arguments and recommendations.
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 <li>
 Comfortable providing detailed written feedback.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Economics or Public Policy.
 </li>
 <li>
 Experience in government, think tanks, or policy research.
 </li>
 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Public Policy Economist (AI Training)

<div>
 
 Natural Resource Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Compensation: $30-55 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review conservation science questions and scenarios used in AI training.
 </li>
 <li>
 Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
 </li>
 <li>
 Assess whether AI-generated recommendations reflect real-world conservation practices.
 </li>
 <li>
 Provide structured feedback to improve scientific reasoning and outputs.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of professional experience in natural resource conservation or environmental science.
 </li>
 <li>
 Strong understanding of ecosystems, land management, and conservation principles.
 </li>
 <li>
 Able to clearly evaluate scientific reasoning and applied recommendations.
 </li>
 <li>
 Comfortable reviewing structured written content and providing detailed feedback.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Natural Resources, Environmental Science, or related field.
 </li>
 <li>
 Fieldwork or applied conservation experience.
 </li>
 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Natural Resource Conservation Scientist

<div>
 
 About Alignerr
 
 
 
 Alignerr partners with leading AI labs and investment-focused organizations, providing analysts who evaluate financial data, strategic insights, and market trends.
 
 
 
 Role Overview
 
 
 
 The
 
 Investment Strategy Analyst
 
 will support strategy, research, and forecasting workflows by analyzing company fundamentals, competitive dynamics, macro trends, and potential investment scenarios.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review company performance drivers and financial statements
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 Evaluate strategic positioning and market conditions
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 Compare narrative commentary against quantitative signals
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 Summarize opportunities, risks, and potential scenarios
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 Deliver structured insights aligned to project needs
 
 
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 </ul>
 
 What You Bring
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Background in investment research, consulting, corporate strategy, or finance
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 <li>
 Strong analytical reasoning and writing
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 <li>
 Ability to assess competitive and financial dynamics
 
 
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 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Experience with valuation methods or sector-specific frameworks
 
 
 </li>
 </ul>
 
 Contract Details
 
 
 
 Contractor role, remote.
</div>

Investment Strategy Analyst

Join Alignerr and explore 18   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.