Alignerr

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

Review and evaluate AI-generated content for clarity, organization, and effectiveness, providing constructive feedback to improve AI outputs. | Experience in professional, academic, or technical writing, with strong command of English and ability to evaluate and improve written content. | Generalist Writer - English (Contract) Labelbox • Remote (United States preferred) Shape the data that powers frontier AI Quick facts • Engagement - Hourly, at‑will contractor • Schedule - Fully remote & asynchronous (min. 15 hrs/week) • Pay Range (US) - \$25 – \$100 per hour • Start Date - Rolling — staffed as projects launch What You’ll Do • Educate AI: Review AI-generated written content across multiple genres and formats, providing feedback on clarity, organization, and effectiveness of communication • Problem Solving: Use your expertise to help AI reason through writing challenges, including argumentation, structure, tone, and audience engagement in diverse disciplines • Red Teaming: Identify biases, inaccuracies, or unclear passages in AI-generated outputs, and develop tests to ensure the AI produces high-quality, accurate, and well-communicated written work You’re a great fit if • Enrolled in or have completed a Bachelor's degree or higher from an accredited institution • Experience in professional, academic, or technical writing, editing, or related fields (required) • Strong ability to communicate ideas clearly, effectively, and with attention to detail across a variety of formats and subjects • Excellent command of English grammar, style, and tone, with a keen eye for accuracy and coherence • Comfortable providing constructive feedback and evaluating writing for clarity, organization, and impact • Bonus: Experience with data labeling, RLHF, or other AI training projects About The Role • Flexible workload — work from anywhere, on your own schedule • High impact — your craft directly improves models used by top AI labs & Fortune 500 teams • Clear ownership — know exactly what success looks like and have autonomy to deliver • Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs Interview process • Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply? Click “Apply” above! We review candidates on a rolling basis and will contact you if your background matches an active project.

Design, automate, and optimize cloud-based AI development infrastructure, ensuring performance, reliability, and security. | Deep experience in DevOps, IaC, cloud platforms, networking, and security, with strong communication skills. | DevOps/IaC Engineer (Contract) Labelbox • Remote (United States preferred) Shape the data that powers frontier AI Quick facts • Engagement - Hourly, at‑will contractor • Schedule - Fully remote & asynchronous (min. 15 hrs/week) • Pay Range (US) - \$25 – \$100 per hour • Start Date - Rolling — staffed as projects launch What You’ll Do • Design and maintain cloud-based infrastructure (AWS, GCP, or Azure) for AI development pipelines. • Automate infrastructure using tools like Terraform, Ansible, or similar. -Monitor and improve system performance, reliability, and scalability. -Identify and resolve infrastructure bottlenecks or deployment issues. -Summarize your troubleshooting, design, and optimization decisions clearly and concisely. You’re a great fit if • Fluent in English with strong writing and communication skills. • Expertise in DevOps and Infrastructure as Code (IaC): containers (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions, CircleCI, etc.). • 3–5 years of experience in DevOps, cloud infrastructure, or SRE roles is a plus. • Bachelor’s degree (or pursuing one) in Computer Science, Engineering, or related field. Master's or PhD preferred. • Deep interest in AI/ML infrastructure, cloud computing, or secure system design. • 4+ years of professional experience in DevOps, SRE, or infrastructure roles with a focus on IaC • Deep hands-on experience with Terraform (preferred), Pulumi, or AWS CloudFormation • Proficiency with at least one major cloud provider (AWS preferred; Azure or GCP acceptable) • Strong understanding of networking, IAM, VPCs, security groups, and resource policies • Comfortable writing modular, DRY IaC, and using state management practices responsibly About The Role • Flexible workload — work from anywhere, on your own schedule • High impact — your craft directly improves models used by top AI labs & Fortune 500 teams • Clear ownership — know exactly what success looks like and have autonomy to deliver • Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs Interview process • Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience. • Domain-specific Zara interview to assess your DevOps expertise, including Infrastructure as Code, CI/CD pipelines, and VMs. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply? Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.

Review and improve existing content for grammar, tone, and clarity, ensuring consistency and readability. | Bachelor's degree in English, Humanities, Journalism, or related field, with strong proofreading and editing skills. | English Writing Generalist - Quality Review About The Role This role emphasizes reviewing and improving existing content with a strong quality-control mindset. Organization: Alignerr (Powered by Labelbox) Type: Hourly Contract / Task-Based Compensation: $30–$40 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do • Review content for subtle grammar, tone, and clarity issues • Improve readability without changing original meaning • Flag inconsistencies and unclear language • Apply editorial judgment consistently Who You Are • Based in the United States • Bachelor's Degree or better in English, Humanities, Journalism or a related discipline • Strong proofreading and editing instincts • Excellent attention to linguistic detail • Comfortable evaluating large volumes of content Application Process (Takes 15-20 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Providing administrative support, managing appointments, and maintaining records. | Experience in data capture, scheduling, customer service, and proficiency with office tools; no aviation or transcription skills mentioned. | About The Project We’re building next-generation AI systems for aviation and autonomous flight. To do that, we need high-quality transcriptions of real Air Traffic Control (ATC) and pilot communications. This is not generic transcription. • Organization: Alignerr (Powered by Labelbox) • Position: Aviation Communications Transcriber (ATC) • Location: Remote • Type: Hourly / Task-based Contract • Compensation: $20-30 /hour • Commitment: 10-40 hours/week This Project Requires • Understanding aviation phraseology • Accurately capturing fast, noisy, real-world radio communications • Extreme attention to detail Your work will directly help improve AI systems used in aviation safety and autonomy. What You’ll Do • Transcribe real-world Air Traffic Control (ATC) ↔ pilot audio recordings • Carefully label speakers, callsigns, instructions, and responses • Correctly capture aviation terminology, abbreviations, and phraseology • Work on task-based assignments at your own pace • Meet quality and accuracy standards (this is critical) Who This Is For This is ideal if you are: • A pilot, student pilot, Air Traffic Controller (ATC), or aviation professional • An aviation enthusiast who regularly listens to ATC • Someone who understands aviation radio communications and phraseology • Extremely detail-oriented and patient with audio work You do not need to be a professional transcriptionist — but you do need to understand aviation comms. Compensation • Paid per task / per hour equivalent (based on speed and quality) • High-quality contributors get priority access to more work • Top performers can earn very strong effective hourly rates Why Join Us • Competitive pay and flexible remote work. • Lead a team working on cutting-edge AI projects. • Exposure to advanced LLMs and how they’re trained. • Freelance perks: autonomy, flexibility, and global collaboration. • Potential for contract extension. Application Process (Takes 10-15 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Analyze network and endpoint security scenarios, classify incidents, and create security datasets. | Experience in network, infrastructure, or endpoint security roles, familiarity with security tools, and understanding of security controls deployment. | About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. We are seeking hands-on infrastructure security practitioners to analyze, classify, and evaluate real-world network and endpoint security scenarios. You will work with realistic enterprise environments to capture how threats, controls, and failures interact in production systems. Organization: Alignerr Position: Network & Infrastructure Security Analyst Type: Contract / Task-Based Compensation: $35–$60 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do • Analyze network, endpoint, and email security scenarios across modern enterprise stacks • Review firewall, EDR, and infrastructure security cases to determine what went wrong and why • Classify incidents, misconfigurations, and control failures based on real operational data • Create, label, and validate security training and evaluation datasets used to improve AI systems What We’re Looking For • 2+ years of experience in network, infrastructure, or endpoint security roles • Familiarity with firewalls, EDR, email security, IAM, SIEMs, and enterprise tooling • Strong understanding of how real organizations deploy and operate security controls • Ability to clearly explain security issues, root causes, and business impact Why Join Us • Competitive pay and flexible remote work • Work directly on frontier AI and security systems • Freelance perks including autonomy, flexibility, and global collaboration • Potential for contract extension Application Process (Takes 10–15 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Analyze AI security scenarios, review threat cases, and evaluate system behaviors to ensure safety and reliability. | Basic understanding of security, AI systems, threat modeling, and analytical skills; experience in security or AI is not demonstrated. | About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. We’re focused on the security of AI systems themselves, examining how modern models can be attacked, misused, or pushed beyond their intended boundaries. You will work with realistic scenarios to help ensure AI systems remain safe, reliable, and aligned with security best practices. Organization: Alignerr Position: AI / Emerging Tech Security Analyst Type: Contract / Task-Based Compensation: $40–$60 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do • Analyze AI and LLM security scenarios to understand how models behave under adversarial or unexpected conditions • Review prompt injection, data leakage, model abuse, and system misuse cases • Classify security issues and appropriate mitigations based on real-world impact and likelihood • Help evaluate and improve AI system behavior so it remains safe, reliable, and aligned with security best practices What We’re Looking For • Background in security with a strong interest in how AI systems are built and deployed • Understanding of modern security threat modeling applied to emerging AI technologies • Curious, analytical, and precise when evaluating complex systems and potential risks Why Join Us • Competitive pay and flexible remote work. • Work directly on frontier AI systems. • Freelance perks: autonomy, flexibility, and global collaboration. • Potential for contract extension. Application Process (Takes 10–15 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Analyze application security scenarios, classify vulnerabilities, evaluate secure coding practices, and help create security reasoning datasets. | Requires 2+ years in application security roles, familiarity with OWASP Top 10, and strong communication skills. | About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. We’re looking for people who understand how software actually breaks in production and how security issues emerge in real, live systems. You will work with realistic application security scenarios to help AI systems learn how to assess, prioritize, and remediate risk. Organization: Alignerr Position: Application Security Analyst Type: Contract / Task-Based Compensation: $38–$60 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do • Review and analyze application security scenarios across code, APIs, and system behavior • Classify vulnerabilities such as authentication flaws, injection risks, and business logic issues • Evaluate secure coding practices and remediation strategies • Help create and validate security-focused reasoning datasets that teach AI how to assess application risks accurately What We’re Looking For • 2+ years in application, product, or software security roles • Familiarity with the OWASP Top 10 and common production vulnerabilities • Ability to distinguish real exploitability from theoretical risk • Clear written communication and structured security reasoning Why Join Us • Competitive pay and flexible remote work. • Work directly on frontier AI systems. • Freelance perks: autonomy, flexibility, and global collaboration. • Potential for contract extension. Application Process (Takes 10–15 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Analyze attack paths, classify weaknesses, review scenarios, and generate adversarial data for AI training. | Requires 2+ years in pentesting, red team, or similar roles with attack knowledge, which you do not have. | About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This role focuses on structured adversarial reasoning rather than exploit development. You will work with realistic attack scenarios to model how threats move through systems, where defenses fail, and how risk propagates across modern environments. Organization: Alignerr Position: Offensive Security Analyst (Structured / Non-Exploit) Type: Contract / Task-Based Compensation: $40–$60 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do • Analyze attack paths, kill chains, and adversary strategies across real-world systems • Classify weaknesses, misconfigurations, and defensive gaps • Review red-team style scenarios and intrusion narratives • Help generate, label, and validate adversarial reasoning data used to train and evaluate AI systems What We’re Looking For • 2+ years in pentesting, red team, or a strong blue-team role with hands-on attack knowledge • Understand how real attacks unfold in production environments • Ability to clearly explain attack chains, impact, and tradeoffs Why Join Us • Competitive pay and flexible remote work. • Work directly on frontier AI systems. • Freelance perks: autonomy, flexibility, and global collaboration. • Potential for contract extension. Application Process (Takes 10–15 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Analyzing and improving operational workflows and data reporting processes. | Strong analytical skills and experience in process improvement, with no direct experience in algorithmic trading or market microstructure. | Role Overview The Algorithmic Trading Strategist evaluates trading logic, market-microstructure reasoning, and execution strategies used in algorithmic systems. This role focuses on interpreting algorithmic behavior, assessing decision quality, and identifying edge cases or market conditions that impact strategy performance. What You’ll Do • Review algorithmic trading logic and execution paths • Analyze order types, routing behavior, and market microstructure assumptions • Identify risks, inefficiencies, and performance bottlenecks • Summarize strategy performance across scenarios and time horizons • Validate alignment with realistic trading constraints and liquidity conditions • Provide structured evaluations for recurring strategy-review cycles Must-Have What You Bring • Experience in systematic or algorithmic trading • Strong understanding of order types, execution timing, and slippage • Ability to analyze multi-step trading logic and convey insights clearly Nice-to-Have • Familiarity with backtesting frameworks or execution-simulation tools $40 - $80 an hour