Qureos Mentor

Alignerr

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 About The Role
 
 
 
 We&rsquo;re seeking soil and water conservation scientists to help evaluate AI systems trained on sustainable land and water management practices.
 
 
 <ul>
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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
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review soil and water conservation scenarios used in AI training.
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 Assess accuracy of content related to erosion control, watershed management, and soil health.
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 Identify flawed assumptions or impractical recommendations.
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 Provide structured feedback to improve scientific rigor and clarity.
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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 soil science, hydrology, or conservation planning.
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 Strong understanding of soil processes, water systems, and conservation techniques.
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 Able to evaluate applied environmental science reasoning.
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 Comfortable reviewing technical written content.
 
 
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 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Soil Science, Hydrology, or related field.
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 Experience with field assessments or conservation planning tools.
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 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>

Soil and Water Conservation Scientist (AI Training)

<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.
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 Evaluate economic reasoning related to regulation, welfare, and public programs.
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 Provide structured feedback to improve clarity, rigor, and real-world relevance.
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 Apply applied economics experience to validate scenarios and conclusions.
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 Work independently and asynchronously to meet project deadlines.
 
 
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 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching or working in public or applied economics.
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 <li>
 Strong understanding of policy analysis and economic tradeoffs.
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 Able to assess written economic arguments and recommendations.
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 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>
 
 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 developing and testing AI systems designed to interpret security events, correlate alerts, and support digital investigations across modern environments. You will work with realistic incident data to ensure AI-driven analysis reflects how real response teams operate.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Incident Response 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>
 Examine security events, alerts, and incident cases
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 Determine impact, root cause, and appropriate remediation
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 Evaluate detection rules, alerting pipelines, and investigative playbooks
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 Verify that AI-generated incident analysis reflects real-world security operations
 
 
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 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
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 2+ years in SOC, incident response, or security operations
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 Experience with SIEM platforms, alert queues, and investigation tools
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 Ability to separate meaningful threats from background noise
 
 
 </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>

Incident Response 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.
 
 
 Identity sits at the core of most modern security failures, and we&rsquo;re looking for people who understand how and why identity systems break in real environments. You will work with realistic identity and access scenarios to help ensure AI systems learn how IAM risk actually emerges and propagates.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Identity &amp; Access Management (IAM) 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 IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations
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 Classify permission issues, privilege escalation paths, and identity-related failures
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 Review zero-trust models and access design decisions
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 Help generate and validate realistic identity security data used to train and evaluate AI systems
 
 
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 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years working with IAM, SSO, or enterprise identity platforms
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 Familiarity with RBAC, least-privilege models, and access review processes
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 <li>
 Understanding of how identity failures occur and how attackers exploit them
 
 
 </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>

Identity & Access Management (IAM) Analyst

<div>
 
 About The Role
 
 
 
 We&rsquo;re looking for forestry and land management scientists to help evaluate AI systems trained on sustainable forestry and land-use practices.
 
 
 <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 forestry and land management scenarios used in AI training.
 </li>
 <li>
 Assess accuracy of content related to forest health, land use, and sustainability.
 </li>
 <li>
 Identify errors or oversimplifications in management recommendations.
 </li>
 <li>
 Provide structured feedback to improve applied reasoning.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience in forestry or land management roles.
 </li>
 <li>
 Strong understanding of forest ecosystems and management practices.
 </li>
 <li>
 Able to evaluate applied environmental decision-making.
 </li>
 <li>
 Comfortable reviewing written technical content.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Degree in Forestry, Natural Resources, or related field.
 </li>
 <li>
 Experience with land-use planning or conservation programs.
 </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>

Forestry and Land Management Scientist (AI Training)

<div>
 
 About The Role
 
 
 
 We&rsquo;re looking for finance lecturers or economists to help evaluate AI systems trained on financial and economic reasoning.
 
 
 <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 finance-related questions and explanations used in AI training.
 </li>
 <li>
 Assess accuracy of concepts such as valuation, risk, and market behavior.
 </li>
 <li>
 Provide structured feedback to improve financial reasoning and clarity.
 </li>
 <li>
 Apply teaching experience to identify common misconceptions.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching finance or economics at the postsecondary level.
 </li>
 <li>
 Strong understanding of corporate finance, markets, or financial economics.
 </li>
 <li>
 Able to clearly evaluate written financial reasoning.
 </li>
 <li>
 Comfortable reviewing structured content at scale.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Finance or Economics.
 </li>
 <li>
 Industry or applied finance experience.
 </li>
 <li>
 Familiarity with AI or model 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>

Finance Lecturer (AI Training)

Join Alignerr and explore 10   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.

Alignerr

ABOUT_COMPANY

Soil and Water Conservation Scientist (AI Training)

Public Policy Economist (AI Training)

Incident Response Analyst

Identity & Access Management (IAM) Analyst

Forestry and Land Management Scientist (AI Training)

Forestry and Land Management Scientist (AI Training)

Finance Lecturer (AI Training)