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Alignerr

Public Policy Economist (AI Training)

AlignerrEducation and Humanities / Finance

$35-$70/hr

Worldwide

About this role · Stem

About the Role We're looking for economists with public policy experience to help shape how AI understands and reasons about the real world. As a Public Policy Economist on our AI training team, your expertise will directly influence how leading AI models analyze regulation, welfare programs, and economic tradeoffs — making a tangible impact on the future of artificial intelligence. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated public policy analysis and applied economics content for accuracy, rigor, and real-world relevance - Assess economic reasoning across areas including regulation, welfare policy, public programs, and fiscal tradeoffs - Provide structured, detailed feedback to improve the quality and clarity of AI outputs - Validate economic scenarios, conclusions, and policy recommendations using your professional expertise - Work independently and asynchronously — on your own schedule, at your own pace Who You Are - 3+ years of experience working or teaching in public economics, applied economics, or a related policy field - Strong command of policy analysis frameworks and economic reasoning - Able to critically evaluate written economic arguments and identify flaws in logic or methodology - Comfortable providing thorough, structured written feedback - Self-motivated and reliable when working independently Nice to Have - Graduate degree in Economics, Public Policy, or a related discipline - Professional background in government, think tanks, or policy research organizations - Familiarity with AI systems or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that directly improves how AI handles real-world policy and economics - Potential for ongoing work and contract extension

Alignerr

Semiconductor Material Science (Masters/PhDs)

AlignerrSTEM / Software, AI and Data

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through the most complex problems in materials science? We're looking for Materials Science specialists — Masters and PhD holders — to help train and evaluate cutting-edge AI models, ensuring they think and respond with the rigor and depth that the field demands. This is a fully remote, flexible contract role built for working researchers, academics, and industry professionals who want to contribute to frontier AI without leaving their area of expertise. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and critically review advanced material science problems with real-world relevance - Apply your expertise in semiconductor materials, molecular modeling, or related areas to craft complex, rigorous problem statements - Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness - Collaborate asynchronously with AI researchers and domain experts to improve how AI models handle materials science concepts - Ensure scientific clarity and precision across all deliverables — from problem design to written explanations - Work independently on task-based assignments at your own pace and schedule Who You Are - Holds a Master's or PhD in Material Science, Materials Engineering, or a closely related field from a top-tier university - Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas - Comfortable coding in Python or MATLAB for research or applied projects - Exceptionally clear written communicator who can explain complex concepts with precision - Detail-oriented and self-directed — you hold your work to a high standard without needing oversight - Fluent in English Nice to Have - Prior experience with data annotation, evaluation systems, or AI training workflows - Background in computational materials science, DFT, or atomistic simulation - Experience reviewing or publishing peer-reviewed scientific work - Familiarity with AI tools or large language model evaluation as an end user Why Join Us - Work on frontier AI projects alongside world-leading research labs - Fully remote and asynchronous — work on your schedule, from anywhere - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Make a direct, tangible impact on how AI understands and reasons through materials science - Potential for ongoing work and contract extension as new projects launch

Alignerr

Incident Response Analyst

AlignerrSoftware, AI and Data

$30-$60/hr

Worldwide

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About this role · Stem

About the Role We're partnering with the world's leading AI research labs to build smarter, more accurate AI systems for cybersecurity. As an Incident Response Analyst, you'll apply your hands-on security operations experience to evaluate and improve AI models designed to detect threats, correlate alerts, and support digital investigations. Your expertise doesn't just stay in the SOC — it directly shapes how AI understands and responds to real-world security events. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Analyze realistic security events, alerts, and incident cases to assess AI-generated investigative outputs - Evaluate AI responses for accuracy in determining impact, root cause, and appropriate remediation steps - Review detection rules, alerting pipelines, and investigative playbooks for real-world validity - Identify gaps where AI analysis diverges from how experienced response teams actually operate - Provide structured, expert feedback that directly improves AI model performance in security contexts - Work independently and asynchronously on a schedule that fits your life Who You Are - 2+ years of hands-on experience in a SOC, incident response, or security operations role - Solid working knowledge of SIEM platforms, alert queues, and investigation tooling - Skilled at triaging signal from noise and identifying meaningful threats quickly - Able to articulate your reasoning clearly in written form - Self-motivated and comfortable working independently on task-based assignments Nice to Have - Experience with threat hunting, digital forensics, or red/blue team operations - Familiarity with frameworks like MITRE ATT&CK or NIST IR - Prior exposure to AI evaluation or data annotation workflows Why Join Us - Work directly on frontier AI systems built with top-tier research labs - Fully remote and flexible — work on your own schedule from anywhere - Freelance perks: autonomy, variety, and global collaboration - Use your existing security expertise in a high-impact, innovative new context - Potential for ongoing work and contract extension

Alignerr

Business Performance Analyst

AlignerrBusiness and Consulting / Finance

$40-$80/hr

Worldwide

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About this role · Stem

About the Role What if your years of business analysis experience could directly shape how AI understands finance, strategy, and organizational decision-making? We're looking for Business Performance Analysts to lead and mentor teams creating high-quality, business-focused content that trains cutting-edge AI models. This is a fully remote, flexible contract role built for experienced business professionals who thrive in leadership, love operational excellence, and want to do meaningful work at the frontier of AI — no prior AI experience required. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Lead and mentor a team of Business Analysts and Content Specialists creating business-focused AI training content - Allocate tasks, manage workflows, and ensure timely, high-quality delivery across projects - Conduct quality assurance reviews, refine team processes, and drive continuous improvement - Provide structured performance feedback, training, and professional development to your team - Serve as the primary point of contact for project stakeholders, delivering regular updates and insights - Guide the creation of case studies, business scenarios, and structured analytical content across domains including finance, policy, and e-commerce Who You Are - Experienced people leader with a track record of managing and developing analytical teams - Strong business analyst or consultant background with deep domain expertise - Naturally detail-oriented — you set high standards and hold your team to them - Clear, confident communicator who can translate complex ideas into structured, actionable content - Methodical and organised, with a talent for improving team efficiency without sacrificing quality - No prior AI or tech experience required — your business expertise is what matters Requirements - Bachelor's degree in Business, Finance, Accounting, Economics, Statistics, or a related field — or equivalent professional experience - 2+ years of team management or leadership experience - 3–6 years of experience in business analysis, consulting, content strategy, or domain-focused projects - Strong analytical and research skills with the ability to evaluate logical soundness and accuracy - Ability to provide clear, constructive feedback and detailed annotations - Excellent written and verbal communication skills Nice to Have - Master's degree in Business, Finance, Economics, or a related discipline - Experience with data annotation, content quality evaluation, or AI training workflows - Background in case study writing, academic research, or structured business content creation - Familiarity with MBA-level business frameworks and analytical methodologies Why Join Us - Work at the cutting edge of AI development alongside world-leading research labs - Fully remote and flexible — structure your hours around your life - Freelance autonomy with the substance of meaningful, high-impact work - Apply your business expertise in a new and genuinely interesting direction - Potential for ongoing work and contract extension as new projects launch

Alignerr

Cloud Security Analyst

AlignerrSoftware, AI and Data

$38-$60/hr

Worldwide

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About this role · Coding

About the Role We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Right now, we're looking for experienced cloud security practitioners to help us make AI smarter about how cloud environments actually fail in the real world. This is a unique opportunity to apply your hands-on security expertise to frontier AI — working on datasets and evaluations that directly shape how AI reasons about cloud security incidents, misconfigurations, and risk. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns - Review and assess IAM, networking, storage, and container security issues - Classify security gaps, misconfigurations, and cloud-related failures based on real-world business impact - Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents unfold - Provide structured, expert feedback that directly improves AI security intelligence Who You Are - 2+ years of hands-on experience working with cloud environments in production - Strong familiarity with cloud IAM, networking, storage, and container security concepts - Experienced with real-world misconfigurations and security incidents - Able to reason clearly about blast radius, risk exposure, and downstream business impact - Detail-oriented and comfortable working independently on task-based assignments Nice to Have - Experience with cloud security certifications (AWS Security Specialty, CCSP, etc.) - Background in incident response or cloud penetration testing - Familiarity with compliance frameworks like SOC 2, CIS Benchmarks, or NIST Why Join Us - Work directly on frontier AI systems alongside top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Apply deep security expertise to a genuinely novel and impactful challenge - Potential for ongoing work and contract extension

Alignerr

Biotech Health Data Governance Lead

AlignerrLife Sciences / Healthcare

$40-$80/hr

Worldwide

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About this role · Stem

About the Role What if your expertise in biotech and clinical data governance could directly shape how AI understands and works with life sciences research? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory filings, and next-generation AI models. This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. If you've built or led governance programs that keep complex research data trustworthy and audit-ready, we want to hear from you. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for scientific analysis and regulatory submissions - Define and enforce data policies covering classification, access controls, security, and metadata across research, clinical, regulatory, and partner teams - Enable secure, governed access to data for analytics, innovation, and external collaborations — while protecting confidential and patient-related information - Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across the organization - Support the development of high-quality, trustworthy datasets that underpin cutting-edge AI models in life sciences Who You Are - Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments - Strong working knowledge of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data - A natural collaborator — comfortable bridging scientific, technical, compliance, and business teams to align on data standards - Detail-oriented and systematic, with a track record of building governance structures that hold up under regulatory scrutiny - Self-motivated and reliable when working independently in a remote, async environment Nice to Have - Prior experience with data annotation, data quality assessment, or AI evaluation systems - Familiarity with clinical data standards such as CDISC, FHIR, or HL7 - Background in regulatory submissions or GxP-compliant environments - Experience working across cross-functional or globally distributed teams Why Join Us - Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Play a direct role in ensuring the data quality that drives better science and smarter AI - Potential for ongoing work and contract extension as new projects launch

Alignerr

Finance Lecturer (AI Training)

AlignerrFinance / Education and Humanities

$35-$70/hr

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About this role · Stem

About the Role We're looking for finance lecturers and economists to help shape how the next generation of AI understands financial and economic concepts. Your subject-matter expertise will directly influence how AI reasons about valuation, risk, markets, and more — making a real impact on one of the most high-stakes domains in AI development. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets - Assess the accuracy and clarity of key financial concepts including valuation, risk, capital markets, and economic theory - Provide structured, expert feedback to improve the quality of AI-generated financial reasoning - Apply your teaching experience to identify common misconceptions and suggest clearer explanations - Work independently and asynchronously on a schedule that suits you Who You Are - 3+ years of experience teaching finance or economics at the postsecondary level - Strong command of corporate finance, financial markets, or financial economics - Able to critically evaluate written financial reasoning and communicate feedback clearly - Comfortable working through structured content independently and at scale - Self-motivated and reliable in a remote, asynchronous environment Nice to Have - Graduate degree in Finance, Economics, or a related field - Industry or applied finance experience (investment banking, asset management, financial analysis, etc.) - Familiarity with AI systems, model evaluation, or data annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that shapes how AI understands the financial world - Potential for ongoing work and contract extension

Alignerr

Econometrics Instructor

AlignerrEducation and Humanities

$35-$70/hr

Worldwide

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About this role · Stem

About the Role We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems that reason about statistical methods, economic models, and causal inference. Your expertise will directly shape how AI understands and explains some of the most complex quantitative concepts in economics — making a real impact on the next generation of AI tools. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and validate econometric questions, models, and explanations used in AI training datasets - Assess statistical accuracy, assumptions, and interpretation of results across a range of methods - Identify errors, edge cases, and logical gaps in AI-generated quantitative reasoning - Provide structured, actionable feedback to improve model clarity and correctness - Apply your real-world teaching experience to ensure explanations are both rigorous and accessible - Work independently and asynchronously on your own schedule Who You Are - 3+ years of experience teaching econometrics or quantitative economics at the university level or equivalent - Strong command of regression analysis, causal inference, time series, and core statistical methods - Able to clearly evaluate and explain quantitative reasoning in written form - Comfortable reviewing structured, technical content with precision and consistency - Self-motivated and reliable when working independently Nice to Have - Master's or PhD in Economics, Statistics, or a related field - Hands-on experience with statistical tools such as R, Stata, or Python - Familiarity with AI model evaluation, annotation workflows, or data labeling platforms Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that improves how AI reasons about economics and statistics - Potential for ongoing work and contract extension

Alignerr

Oncology Clinical Researcher

AlignerrHealthcare

$40-$80/hr

Worldwide

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About this role · Stem

About the Role What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing research that could one day save lives at scale? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into the AI systems being built by the world's leading research labs. You'll ensure that AI-generated oncology insights reflect the regulatory, scientific, and clinical standards that matter most — and that the data powering these models is grounded in how cancer research actually works. This is a fully remote, flexible contract role. No AI background needed — just deep expertise in oncology clinical trials and a sharp eye for scientific accuracy. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, endpoint selection, and regulatory compliance frameworks - Analyze cancer trial data — safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and data quality - Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and alignment with FDA/EMA regulatory standards - Translate complex trial outcomes into clear, structured evaluations that help AI systems learn to reason correctly about oncology data - Flag errors, gaps, and misrepresentations in AI-generated content related to cancer research and clinical methodology - Work independently and asynchronously on task-based assignments — fully on your own schedule Who You Are - Experienced in designing and managing oncology clinical trials, from protocol development through data readout - Strong background in analyzing oncology clinical data, including primary and secondary endpoints, safety reporting, and biomarker interpretation - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous — you notice when clinical reasoning doesn't hold up - Able to communicate complex scientific concepts clearly in writing - No prior AI or tech experience required Nice to Have - Experience with data annotation, data quality review, or clinical evaluation workflows - Background in oncology drug development, translational research, or medical affairs - Familiarity with AI tools or clinical decision support systems as an end user - Publications or regulatory submission experience in an oncology context Why Join Us - Work directly on frontier AI systems being built to transform cancer research - Influence how AI models understand, interpret, and reason about real oncology data - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Collaborate with a global network of domain experts and leading AI research teams - Potential for ongoing work and contract extension as new projects launch

Alignerr

AI Red Team Tester

AlignerrSoftware, AI and Data

$40-$120/hr

Worldwide

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About this role · General

About the Role What if your job was to think like an adversary — to probe, pressure-test, and outwit some of the most advanced AI systems in the world? We're looking for AI Red Team Testers to do exactly that. You'll creatively challenge AI models to expose weaknesses, uncover unsafe outputs, and help build a safer AI ecosystem. This is a fully remote, flexible contract role open to curious, critical thinkers of all backgrounds. If you enjoy puzzles, spotting flaws others miss, and thinking outside the box, this role was built for you. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design imaginative prompts, scenarios, and strategies to expose AI weaknesses - Attempt to elicit incorrect, unsafe, biased, or inappropriate outputs from AI models - Document every failure mode you find with clear, reproducible steps - Rate the severity and potential impact of discovered issues - Provide structured, actionable feedback to safety and research teams - Collaborate asynchronously with a global team of researchers and testers Who You Are - A naturally curious and creative thinker who enjoys probing for weaknesses - Comfortable adopting an adversarial mindset and thinking unconventionally - Detail-oriented and systematic — you document what you find clearly and thoroughly - Strong written communicator who can explain issues with precision - Self-motivated and able to work independently on flexible, task-based assignments - No hacking, security, or AI background required — just sharp thinking and genuine curiosity Nice to Have - Experience in writing, research, journalism, psychology, or critical analysis - Familiarity with AI chatbots or language models as an end user - Background in QA, ethics, policy, or academic research - An interest in AI safety and responsible AI development Why Join Us - Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — set your own schedule and work at your own pace - Freelance autonomy with meaningful, intellectually stimulating work - Make a tangible contribution to AI safety and the responsible development of AI - Potential for ongoing work and contract extension as new projects launch

Alignerr

Machine Learning Engineer

AlignerrSoftware, AI and Data

$50-$70/hr

Worldwide

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About this role · Coding

- Location: Remote 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 initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments. Organization: Alignerr Position: Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50–$70 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do: - Draft precise, organized logical logs for sophisticated technical challenges. - Record sequential strategizing and choice-making workflows. - Generate training datasets that illustrate proficient tool interaction for AI models. Requirements: - Professional expertise in Machine Learning, Engineering, or a technical discipline. - Superb skill in explaining intricate logical processes and methodologies clearly. - Critical thinking skills to audit and refine AI-generated reasoning steps. - Master's Degree or PhD Preferred: - Prior experience with data annotation, data quality, or evaluation systems. - Master's Degree or PhD Why Join Us: - Competitive pay and flexible remote work. - Collaborate with 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 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.

Alignerr

Public Policy Economist (AI Training)

AlignerrFinance / Education and Humanities

$35-$70/hr

Worldwide

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About this role · Stem

About the Role We're looking for economists with public policy experience to help shape how the next generation of AI systems understands economic reasoning, policy analysis, and real-world tradeoffs. Your expertise will directly influence how AI models think about regulation, welfare programs, fiscal policy, and applied economics — work that matters far beyond any single project. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated public policy content and applied economics analysis for accuracy, rigor, and real-world relevance - Assess economic reasoning related to regulation, welfare, taxation, and public programs - Identify flawed assumptions, logical gaps, or misleading conclusions in AI outputs - Provide structured, detailed written feedback to improve the quality of AI training data - Validate economic scenarios, policy recommendations, and supporting arguments - Work independently and asynchronously on your own schedule Who You Are - 3+ years of experience working or teaching in public policy, applied economics, or a closely related field - Strong command of policy analysis, economic tradeoffs, and evidence-based reasoning - Able to critically evaluate written economic arguments and recommendations - Clear, precise written communicator comfortable delivering detailed feedback - Self-motivated and reliable when working independently Nice to Have - Graduate degree in Economics, Public Policy, or a related discipline - Professional experience in government, think tanks, academia, or policy research organizations - Familiarity with AI systems or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that directly improves how AI reasons about economics and policy - Potential for ongoing work and contract extension

Alignerr

Applied Formal Methods Researcher (Lean 4)

AlignerrSTEM / Software, AI and Data

$170-$200/hr

Worldwide

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About this role · Stem

About the Role What if your deep mathematical training could directly shape how AI understands and reasons about formal proof? We're looking for mathematicians and formal verification specialists to translate rigorous human arguments into machine-verifiable Lean 4 proofs — working at the very edge of what automated reasoning can do today. This is a fully remote, flexible contract role designed for people who find genuine satisfaction in the precision and structural elegance of formal mathematics. No AI background required — just deep mathematical maturity and hands-on experience with proof assistants. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Translate informal mathematical proofs into clean, structured, machine-verifiable Lean 4 formalizations - Analyze proofs across domains — identifying hidden assumptions, logical gaps, and formalizable sub-structures - Construct formalizations that probe the limits of existing proof assistants, especially where automation breaks down - Investigate why automated provers struggle — complexity, missing lemmas, insufficient libraries — and document your findings clearly - Collaborate with researchers to design, refine, and evaluate formal verification strategies and pipelines - Develop highly readable, reproducible proof scripts aligned with mathematical best practices and Lean idioms - Guide proof decomposition, lemma selection, and structuring decisions for complex formal models - Formalize classical proofs and compare machine-verifiable structures against textbook arguments - Surface deeper patterns or generalizations implicit in the original mathematics Who You Are - Holds a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - Strong foundation in rigorous proof writing across algebra, analysis, topology, logic, or discrete mathematics - Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable systems — Lean strongly preferred - Genuinely enthusiastic about formal verification, proof assistants, and mechanized mathematics - Able to translate dense informal arguments into clean, precise formal proofs - Comfortable working independently in an asynchronous, remote environment Nice to Have - Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools - Experience contributing to large-scale formalization projects such as Mathlib - Exposure to theorem provers where automated reasoning frequently fails or requires manual scaffolding - Prior experience with data annotation, data quality, or evaluation workflows - Strong communication skills for articulating formalization decisions, edge cases, and reasoning strategies The Ideal Candidate You're a mathematically mature problem-solver who thrives at the frontier of formal verification. You find deep satisfaction in taking an elegant human argument and expressing it in a form a machine can verify. You appreciate precision, structural beauty, and the intellectual challenge of resolving gaps that automated tools cannot yet bridge. Why Join Us - Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Gain direct exposure to how advanced AI models are trained on formal mathematical reasoning - Contribute to work that is genuinely pushing the boundaries of mechanized mathematics - Potential for ongoing work and contract extension as new projects launch

Alignerr

Senior Machine Learning Engineer

AlignerrSoftware, AI and Data

$60-$80/hr

Worldwide

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About this role · Coding

About the Role What if your deep expertise in machine learning could directly influence how the next generation of AI reasons through complex, real-world problems? We're looking for Senior Machine Learning Engineers to help train cutting-edge large language models — not by writing code for a product, but by teaching AI how to think. This is a fully remote, flexible contract role built for experienced ML practitioners who want meaningful, high-impact work on their own schedule. You'll work alongside leading AI research teams to create the structured reasoning data that makes LLMs smarter, more reliable, and more capable in the real world. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Author complex, high-fidelity reasoning traces that capture how an AI plans, uses tools, and makes decisions step by step - Lead the design of structured data strategies that help LLMs navigate intricate, multi-step technical scenarios - Review and mentor reasoning trace outputs to ensure clarity, logical soundness, and rigorous documentation of decision-making - Apply senior-level architectural insight to decompose sophisticated ML problems into clean, well-reasoned solution paths - Contribute directly to training pipelines that improve how AI models behave in real-world deployments Who You Are - Experienced machine learning practitioner with a strong foundation in model reasoning, architecture, or evaluation - Skilled at breaking down complex technical problems into clear, structured, logical steps - Familiar with advanced LLM training and evaluation methodologies - Detail-oriented and rigorous — you care about the quality of your reasoning, not just the output - Comfortable working independently and asynchronously in a remote environment Nice to Have - Prior experience with data annotation, data quality systems, or AI evaluation pipelines - Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating deep understanding of model performance and feature engineering - Background in AI research, applied ML engineering, or technical consulting - Experience designing or critiquing reasoning chains, chain-of-thought prompts, or agent workflows Why Join Us - Work on some of the most technically challenging and consequential AI projects in existence - Fully remote and async — work when, where, and how you work best - Freelance autonomy with access to genuinely cutting-edge AI research and tooling - Direct, visible impact on how advanced LLMs reason and perform in production - Collaborate with a global network of top-tier AI researchers and engineers - Potential for ongoing work and contract extension as new projects launch

Alignerr

Wildlife and Habitat Conservation Scientist

AlignerrSTEM

$30-$55/hr

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About this role · Stem

About the Role We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your field expertise will directly shape how AI understands and reasons about conservation science — making a real impact on one of the most important applications of AI technology. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity - Assess the quality of ecological reasoning, species assessments, and conservation strategies produced by AI systems - Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts - Provide clear, structured feedback that helps improve how AI models handle complex ecological topics - Work independently and asynchronously on your own schedule Who You Are - 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation - Strong working knowledge of biodiversity principles and ecosystem management practices - Able to critically evaluate applied ecological reasoning presented in written form - Comfortable reviewing and annotating structured scientific content - Self-motivated and reliable with the ability to meet deadlines independently Nice to Have - Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field - Experience in field research or managing conservation programs - Familiarity with AI systems or content evaluation workflows Why Join Us - Contribute your expertise to cutting-edge AI projects with real-world conservation implications - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts - Gain meaningful exposure to how large language models are trained and evaluated - Potential for ongoing work and contract extension

Alignerr

Health Policy & Management

AlignerrHealthcare

$35-$55/hr

Worldwide

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About this role · Stem

About the Role What if your public health expertise could influence how millions of people access health information through AI? We're partnering with the world's leading AI research labs to ensure their models deliver accurate, evidence-based, and ethically sound health guidance — and we need credentialed public health professionals to make that happen. This is a fully remote, flexible contract role where your MPH-level knowledge directly shapes the quality and integrity of cutting-edge AI systems. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Public Health Scenarios — Create challenging, real-world problems involving disease outbreak simulations, health equity assessments, and interpretation of clinical trial data to rigorously test AI reasoning - Author Ground-Truth Solutions — Develop rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and others) - Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards — catching misinformation before it spreads - Refine AI Reasoning — Provide structured, expert feedback that helps AI distinguish correlation from causation, communicate risk appropriately, and serve diverse populations equitably Who You Are - Holder of a Masters in Public Health (MPH), MSPH, or closely related graduate degree - Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Skilled at translating complex health data into clear, actionable, and culturally sensitive written communication - Detail-oriented when reviewing statistical significance, data citations, and the logic of health interventions - Self-motivated and comfortable working independently on an asynchronous schedule - No prior AI experience required Nice to Have - Experience with data annotation, data quality review, or evaluation workflows - Proficiency in data analysis tools such as R, SAS, or Stata - Background in health communication, clinical research coordination, or public health surveillance Why Join Us - Work on high-impact AI projects alongside leading research labs and teams - Fully remote and flexible — set your own schedule within a 10–40 hour/week range - Freelance autonomy with real intellectual challenge and meaningful public health impact - Direct engagement with industry-leading large language models - Potential for ongoing contract renewals and expanded project involvement - Contribute to a future where AI gets public health right

Alignerr

Public Policy Economist (AI Training)

AlignerrEducation and Humanities / Finance

$35-$70/hr

Worldwide

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About this role · Stem

About the Role We're looking for economists with public policy experience to help shape how AI understands and reasons about real-world economic and policy issues. Your expertise will directly influence the quality of AI-generated analysis on topics that matter — regulation, welfare programs, fiscal policy, and more. This is a fully remote, flexible contract role where your knowledge makes a tangible difference in the future of AI. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated public policy and applied economics content for accuracy and rigor - Assess economic reasoning across topics including regulation, welfare, fiscal policy, and public programs - Provide structured, detailed feedback to improve clarity, analytical depth, and real-world relevance - Validate economic scenarios, arguments, and policy conclusions using your applied expertise - Work independently and asynchronously — on your schedule, at your pace Who You Are - 3+ years of experience working or teaching in public policy, applied economics, or a related field - Strong grasp of policy analysis frameworks and economic tradeoffs - Ability to critically evaluate written economic arguments and recommendations - Clear, detailed written communicator comfortable providing structured feedback - Self-motivated and reliable working independently in a remote environment Nice to Have - Graduate degree in Economics, Public Policy, or a related discipline - Background in government, think tanks, academic research, or policy consulting - Familiarity with AI systems or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that improves how AI reasons about economics and policy - Potential for ongoing work and contract extension

Alignerr

Frontend TypeScript Engineer (AI Training)

AlignerrSoftware, AI and Data

$60-$90/hr

Worldwide

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About the Role What if your deep expertise in TypeScript could directly influence how AI writes code for millions of developers around the world? We're looking for experienced Frontend TypeScript Engineers in Warsaw and across Poland to review, evaluate, and guide AI-generated code — helping cutting-edge AI models understand what truly type-safe, scalable, and modern web development looks like. This is a fully remote, flexible contract role. You'll work alongside leading AI research teams, applying your real-world frontend knowledge to tasks that have a lasting impact on how AI understands and produces TypeScript code. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review AI-generated TypeScript code for strict type safety, accurate interface design, and correct generic usage - Develop complex, type-safe frontend components that demonstrate best practices in modern web architecture - Provide detailed technical commentary on architectural decisions and type-driven development strategies - Identify and flag ambiguities or errors in AI responses related to complex type definitions and asynchronous frontend patterns - Work independently and asynchronously — fully on your own schedule Who You Are - Deep expertise in TypeScript — including static typing, generics, interfaces, and utility types - 3–5 years of hands-on experience with modern frontend or full-stack frameworks such as React, Angular, Next.js, Nuxt.js, or Node.js - Strong written and verbal communicator who can clearly articulate technical reasoning - Naturally detail-oriented with a high standard for code quality and correctness - Bachelor's degree or higher in Computer Science or a related field preferred Nice to Have - Experience with data annotation, model evaluation, or AI training workflows - Familiarity with full-stack TypeScript patterns and performance optimization - Background in code review, technical writing, or engineering mentorship Why Join Us - Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based work - Make a direct, tangible impact on how AI understands and writes modern TypeScript - Potential for ongoing work and contract extension as new projects launch

Alignerr

Hindi Audio Transcriptionist (AI Training)

AlignerrLanguages / Audio & Voice

$10-$35/hr

Worldwide

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About this role · Audio

About the Role What if your sharp ears and native Hindi fluency could directly shape how AI understands spoken language for hundreds of millions of people? We're looking for detail-oriented transcriptionists in and around Mumbai to produce accurate, high-quality transcriptions of spoken Hindi audio — helping build the datasets that teach AI systems to truly listen. This is hands-on, meaningful work that rewards precision and patience. You'll transcribe real-world audio featuring multiple speakers, crosstalk, background noise, filled pauses, and the natural messiness of authentic conversation. Your work will directly improve how AI processes and understands spoken Hindi. No prior AI experience is needed — just excellent listening skills, native-level Hindi, and a commitment to accuracy and consistency. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Listen to audio recordings in Hindi and produce accurate, detailed transcriptions following provided style and formatting guidelines - Handle challenging audio scenarios — including crosstalk, overlapping speakers, filled pauses (um, uh), background noise, and varying audio quality - Identify and label multiple speakers consistently throughout recordings - Apply detailed formatting, punctuation, and notation conventions with precision - Flag unclear or ambiguous audio segments according to project protocols - Maintain high accuracy and consistency across large volumes of audio content - Work independently and asynchronously — fully on your own schedule Who You Are - Native or near-native fluency in Hindi with an intuitive ear for the language's nuances, dialects, and colloquial expressions - Exceptional listening skills — you can parse meaning even from noisy, fast-paced, or overlapping speech - Highly detail-oriented with a methodical, patient approach to repetitive work - Comfortable following detailed style guides and formatting rules consistently - Strong typing skills and accuracy in Hindi script (Devanagari) - Self-motivated and reliable when working independently - Access to a quiet workspace and reliable internet connection Nice to Have - Professional experience as a transcriptionist, subtitle editor, or closed-captioning specialist - Background in linguistics, language studies, or phonetics - Prior work with annotation platforms, data labeling tools, or AI training projects - Familiarity with transcription software or audio editing tools - Experience handling multi-speaker or interview-format audio - Proficiency in English for navigating platform instructions and guidelines Why Join Us - Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based work - Contribute to AI development that shapes how technology understands spoken Hindi for millions of people - Build specialised skills in audio annotation and AI data pipelines - Potential for ongoing work and contract extension as new projects launch

Alignerr

General Postdoctoral Researcher (Masters/PhDs)

AlignerrStem

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your years of advanced research could directly shape how the world's most powerful AI systems think, reason, and solve problems? We're looking for postdoctoral researchers, PhD holders, and Masters-level experts to work on the frontier of AI development — designing complex, high-stakes problems that push the limits of machine reasoning. This is a fully remote, flexible contract role built for serious researchers. You set your hours. You bring the expertise. The impact is real. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design, develop, and solve advanced, multi-disciplinary problems with real-world relevance that challenge and improve AI reasoning - Apply your research expertise to construct complex problem statements that expose gaps and weaknesses in AI model performance - Review and evaluate AI-generated outputs for academic rigor, logical soundness, and domain accuracy - Collaborate asynchronously with AI researchers and fellow domain experts to refine and elevate model capabilities - Ensure clarity, depth, and intellectual integrity across all deliverables Who You Are - Holds a Master's or PhD in a STEM or highly technical field from a top university - Strong track record of research, peer-reviewed publications, or complex technical project management - Exceptionally sharp written communicator — you can explain difficult ideas with precision and clarity - Self-directed and reliable when working independently without day-to-day supervision - Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand Nice to Have - Prior experience with data annotation, evaluation systems, or AI/ML workflows - Proficiency in Python, R, or other research-oriented programming languages - Cross-disciplinary research background spanning multiple STEM domains - Familiarity with AI reasoning benchmarks or model evaluation frameworks Why Join Us - Work directly alongside leading AI research labs on genuinely cutting-edge projects - Fully remote and async — work when and where it suits your schedule - Freelance autonomy with the substance of meaningful, intellectually challenging work - Make a direct, traceable impact on how next-generation AI models reason and perform - Potential for ongoing work and contract extension as new research projects launch

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