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Alignerr

Material Science Specialist (Masters/PhDs)

AlignerrSTEM / Software, AI and Data

$75-$90/hr

Worldwide

About this role · Stem

About the Role What if your deep expertise in material science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We're looking for Materials Science specialists — Masters and PhD holders — to help train and evaluate cutting-edge AI models on some of the most technically demanding problems in science. This is a fully remote, flexible contract role built for researchers and domain experts who want to put their knowledge to work in a new and high-impact way. No AI background needed — your scientific expertise is what matters. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and review advanced material science problems with real-world scientific relevance - Apply your expertise in semiconductor materials, molecular modeling, or related domains to design complex, rigorous problem sets - Evaluate AI-generated scientific reasoning for accuracy, depth, and logical coherence - Collaborate asynchronously with AI researchers and fellow domain experts to strengthen model performance - Ensure scientific rigor, clarity, and precision across all deliverables - Work independently on task-based assignments — fully on your own schedule Who You Are - Master's or PhD in Material Science or a closely related field - Strong expertise in semiconductor materials, molecular modeling, or adjacent areas - Comfortable coding in Python or MATLAB for research or applied projects - Naturally detail-oriented with a rigorous, methodical approach to scientific problems - Clear and precise written communicator — you can explain complex concepts without sacrificing accuracy - Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand Nice to Have - Experience with data annotation, data quality review, or AI evaluation workflows - Background in computational materials science or simulation-based research - Familiarity with AI tools or scientific benchmarking as an end user - Prior experience reviewing or peer-editing technical scientific content 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 scientific work - Contribute directly to AI systems that need to reason about the physical world at a research level - Potential for ongoing work and contract extension as new projects launch

Alignerr

Development Economist

AlignerrFinance

$35-$70/hr

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About this role · Stem

About the Role We're looking for experienced development economists to help shape how AI understands global economics. Your expertise will directly influence the accuracy, nuance, and reasoning quality of next-generation AI systems — making a real impact on how these tools engage with some of the world's most complex and consequential topics. This is a fully remote, flexible contract role powered by Alignerr (powered by Labelbox), working alongside leading AI research teams. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-Based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated content covering development and global economics for accuracy and depth - Assess economic reasoning related to growth, poverty, inequality, and international development - Provide structured, critical feedback to improve the quality and contextual nuance of AI outputs - Apply your real-world or academic experience to validate complex economic scenarios and arguments - Work independently and asynchronously on task-based assignments that fit your schedule Who You Are - 3+ years of experience teaching, researching, or working in development economics - Strong command of global economic issues, development theory, and data interpretation - Able to evaluate and critique written economic reasoning clearly and rigorously - Self-motivated, detail-oriented, and comfortable with structured review workflows Nice to Have - Graduate degree in Economics or a closely related field - Experience in field research, NGO work, or international economic policy - Familiarity with AI systems, content 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, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that improves how AI reasons about global development challenges - Potential for ongoing work and contract extension

Alignerr

Mechanical Engineering

AlignerrEngineering

$35-$60/hr

Worldwide

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About this role · Coding

About the Role We're looking for mechanical engineering experts to help train and improve cutting-edge AI models. Your technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and FEA. This is a unique opportunity to apply your advanced engineering expertise in a new and impactful way, working alongside world-leading AI research teams from the comfort of your own home. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Engineering Problems — Create advanced, domain-specific challenges across areas like finite element analysis (FEA), heat transfer, kinematics, thermodynamics, and material science to rigorously test AI performance - Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that guide the AI's learning process - Audit AI Reasoning — Evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO) - Refine Model Thinking — Identify logical errors in AI reasoning — such as incorrect force distributions or energy conservation violations — and deliver structured feedback that improves how the model approaches engineering problems Who You Are - Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field - Deep foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex technical concepts clearly and precisely in written form - Meticulous attention to detail when reviewing mathematical derivations, unit conversions, and physical system constraints - No prior AI experience required — if you know engineering, we'll handle the rest Nice to Have - Prior experience with data annotation, data quality, or evaluation workflows - Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS - Experience reviewing or auditing technical documentation to engineering standards Why Join Us - Work on genuinely cutting-edge AI projects with top research labs and AI teams - Fully remote and flexible — set your own schedule and work at your own pace - Gain firsthand exposure to how advanced large language models (LLMs) are built and trained - Freelance autonomy with the support of a collaborative, global team - Potential for ongoing work and contract extension based on performance

Alignerr

Accounting Specialist — Excel Dataset Creation

AlignerrFinance

$40-$150/hr

Worldwide

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Alignerr

English Writing Generalist – Quality Review

AlignerrWriting & Editing

$30-$40/hr

Worldwide

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About this role · General

About the Role We're looking for detail-driven English writing professionals to help evaluate and improve AI-generated content. Your editorial instincts will directly shape how AI systems produce clear, accurate, and polished English — making a real impact on the quality of content millions of people interact with every day. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review AI-generated and human-written content for grammar, tone, clarity, and consistency - Improve readability and flow without altering the original intent or meaning - Identify and flag subtle linguistic errors, awkward phrasing, and structural issues - Apply consistent editorial judgment across large volumes of content - Provide structured, actionable feedback to help AI systems produce better writing - Work independently and asynchronously on your own schedule Who You Are - Strong proofreading and editing instincts with a sharp eye for detail - Bachelor's degree or higher in English, Humanities, Journalism, Communications, or a related field - Comfortable evaluating written content across a wide range of topics and styles - Able to maintain consistency and quality when working at scale - Self-motivated and reliable with excellent written communication skills - No prior AI experience required Nice to Have - Background in copyediting, content writing, journalism, or publishing - Experience working with style guides (AP, Chicago, MLA, etc.) - Familiarity with content quality evaluation or annotation workflows Why Join Us - Work on cutting-edge AI projects with leading research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and the satisfaction of improving AI for English speakers worldwide - Potential for ongoing work and contract extension - Contribute to meaningful work that raises the bar for AI-generated content quality

Alignerr

Computer Engineering

AlignerrSoftware, AI and Data

$35-$60/hr

Worldwide

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About this role · Coding

About the Role We're partnering with the world's leading AI research labs to build smarter, more reliable AI systems — and we need expert computer engineers to help get there. As a Computer Engineering AI Data Trainer, your deep knowledge of hardware, embedded systems, and computer architecture will directly shape how the next generation of AI models thinks and reasons about technical problems. This is a rare opportunity to move beyond building systems and start influencing the AI that will define the future of engineering. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Challenges — Craft complex, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design that push AI models to their limits - Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as authoritative benchmarks for AI training - Audit AI Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards - Refine AI Reasoning — Identify and document failure modes such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve model reasoning Who You Are - Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field - Strong foundational expertise in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems - Able to communicate complex hardware concepts and low-level software logic clearly in writing - Highly detail-oriented — comfortable working with bit-level operations, clock-cycle timing, and precision technical documentation - No prior AI experience required — your engineering expertise is what matters Nice to Have - Experience with data annotation, data quality, or evaluation workflows - Proficiency with engineering tools such as MATLAB or ANSYS - Familiarity with IoT, networking, distributed systems, or hardware security Why Join Us - Work on cutting-edge AI projects alongside top research labs and AI teams - Fully remote and flexible — work on your own schedule, 10 to 40 hours per week - Freelance perks: autonomy, variety, and collaboration with experts around the world - Gain direct insight into how frontier large language models are built and trained - Potential for ongoing work and contract extension

Alignerr

Clinical Systems Analyst

AlignerrHealthcare

$30-$70/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 reliable AI — and we need healthcare IT professionals to help make it happen. As a Clinical Systems Analyst, you'll apply your real-world expertise in hospital systems and clinical workflows to evaluate, test, and improve AI models being trained on healthcare-related content. Your insider knowledge of how clinical environments actually work is exactly what's needed to make AI more accurate, safe, and useful in the healthcare space. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated responses related to clinical systems, EHR workflows, and hospital IT operations - Apply your troubleshooting and systems knowledge to identify errors, gaps, or unrealistic outputs in AI content - Translate clinical and operational scenarios into structured feedback that helps AI models improve - Assess the accuracy, usability, and technical soundness of AI responses across healthcare IT topics - Work independently and asynchronously on your own schedule Who You Are - Experienced in supporting or administering healthcare IT systems — EHRs, clinical applications, hospital infrastructure, or similar - Strong technical troubleshooting instincts and a solid understanding of clinical workflows - Able to identify when AI-generated healthcare content is inaccurate, incomplete, or impractical - Clear written communicator who can document feedback precisely and constructively - Self-directed and reliable — comfortable working independently on task-based assignments Nice to Have - Experience with data annotation, data quality, or AI evaluation workflows - Background working across clinical, IT, and operational stakeholder groups - Familiarity with system configuration, testing, or implementation projects in healthcare settings Why Join Us - Work on cutting-edge AI projects alongside top research labs and teams - Fully remote and flexible — work when and where suits you - Freelance perks: autonomy, variety, and global collaboration - Contribute to AI development that could meaningfully improve healthcare technology - Potential for ongoing work and contract extension

Alignerr

Video Research Specialist

AlignerrStem

$18-$24/hr

Worldwide

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About this role · Stem

About the Role Imagine getting paid to cook dinner, wash dishes, or tidy up — and knowing that footage is helping train the next generation of AI-powered robotics. That's exactly what this role is about. At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. As a Video Research Specialist, you'll use your everyday environment as a data collection studio, capturing the kinds of natural human movements and tasks that robots need to learn from. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: Flexible, recurring sessions What You'll Do - Record video footage of yourself performing everyday household tasks like cooking, cleaning, and tidying - Use an Android device and provided equipment (such as sensors, cameras, or specialized glasses) to capture high-fidelity training data - Review and edit captions to ensure accuracy, grammar, and alignment with project guidelines - Follow structured procedural instructions to ensure data quality and consistency - Participate in recurring sessions to contribute ongoing, high-quality training data Who You Are - Own or have access to an Android device (iOS not currently supported) - Comfortable being recorded while performing everyday tasks and wearing provided equipment - Detail-oriented with a strong commitment to following guidelines precisely - Reliable and available for recurring participation (e.g., weekly sessions) - Willing to purchase a headset prior to participation (reimbursement provided after conditions are met) - No prior AI, robotics, or research experience required Why Join Us - Be part of real, cutting-edge AI and robotics research shaping the future of how humans live - Flexible freelance contract — work around your own schedule - Contribute meaningful data that will help automate the most tedious parts of daily life - Autonomy and independence as a remote contractor - Potential for ongoing, recurring work and contract extension PS: Our team reviews applications daily. Complete your screening steps promptly to be considered for this opportunity.

Alignerr

Management & Leadership Instructor

AlignerrBusiness and Consulting / Education and Humanities

$35-$70/hr

Worldwide

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About this role · Stem

About the Role We're looking for experienced management and leadership educators to help shape how AI systems reason about organizations, teams, and decision-making. Your real-world expertise will directly influence the quality of AI outputs in one of the most complex and nuanced domains — human leadership and organizational behavior. This is a fully remote, flexible contract role. You set your schedule and work asynchronously on meaningful projects that sit at the frontier of AI development. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: Flexible, project-based What You'll Do - Review AI-generated management and leadership scenarios for accuracy and logical soundness - Evaluate AI reasoning related to team dynamics, incentive structures, and organizational design - Identify unrealistic assumptions, flawed logic, or weak decision-making frameworks - Provide clear, structured feedback that improves how AI approaches managerial problems - Work independently and asynchronously to meet project milestones Who You Are - 3+ years of experience teaching management or leadership at the postsecondary level - Strong command of organizational behavior, management theory, and leadership frameworks - Skilled at critically evaluating decision-making processes and tradeoffs - Comfortable reading and assessing written scenarios and AI-generated recommendations - Self-directed and reliable when working remotely without close supervision Nice to Have - MBA or Master's degree in Management, Organizational Behavior, or a related field - Hands-on leadership or operations experience in industry - Prior exposure to AI tools, content evaluation, or 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 leadership and organizations - Potential for ongoing work and contract extension

Alignerr

Identity & Access Management (IAM) Analyst

AlignerrSoftware, AI and Data

$35-$60/hr

Worldwide

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About this role · Coding

About the Role Identity is at the heart of modern enterprise security — and when it breaks, the consequences are severe. We're looking for IAM professionals who understand how identity systems fail in the real world to help train and evaluate cutting-edge AI models built by the world's leading AI research labs. Your expertise in access control, privilege escalation, and zero-trust architecture will directly shape how AI reasons about enterprise security risk. This is a rare opportunity to apply deep technical knowledge to a high-impact, fully remote contract role. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Analyze IAM, SSO, and access control scenarios to identify weaknesses, misconfigurations, and failure points - Classify permission issues, privilege escalation paths, and identity-related vulnerabilities - Review zero-trust models and evaluate access design decisions for correctness and risk - Generate and validate realistic identity security scenarios used to train and benchmark AI systems - Provide structured, expert feedback that helps AI learn how IAM risk actually emerges and propagates in enterprise environments Who You Are - 2+ years of hands-on experience with IAM, SSO, or enterprise identity platforms - Solid understanding of RBAC, least-privilege principles, and access review processes - Familiar with how identity failures occur and how attackers exploit them - Able to think analytically about complex access control scenarios and communicate findings clearly - Self-motivated and comfortable working independently on asynchronous, task-based assignments Nice to Have - Experience with platforms like Okta, Azure AD, AWS IAM, or similar - Background in penetration testing, red teaming, or security architecture - Familiarity with compliance frameworks such as SOC 2, ISO 27001, or NIST - Prior experience contributing to AI training or evaluation projects Why Join Us - Work directly on frontier AI systems with top research labs and teams - Fully remote and flexible — work on your own schedule, on your own terms - Freelance perks: autonomy, variety, and collaboration with experts around the world - Apply your security expertise to a domain that's actively shaping the future of AI - 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 reasons about the hardest problems in mathematics? We're looking for Applied Formal Methods Researchers to formalize advanced mathematical proofs in Lean 4 — working at the exact boundary where human mathematical intuition meets machine-verifiable logic. This is a fully remote, flexible contract role for mathematicians who are passionate about formal verification and excited to push the limits of what proof assistants can do. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Translate informal mathematical proofs into Lean 4 (and related proof systems) with an emphasis on clarity, structure, and correctness - Analyze domain-specific and general proofs, identifying gaps, hidden assumptions, and formalizable sub-structures - Construct formalizations that test the limits of existing proof assistants — especially where automated tools struggle or fail - Collaborate with researchers to design, refine, and evaluate strategies for improving formal verification pipelines - Develop highly readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms - Provide guidance on proof decomposition, lemma selection, and structuring techniques for formal models - Investigate where automated provers break down and articulate why — complexity, missing lemmas, insufficient libraries, or otherwise - Reveal deeper patterns and generalizations implicit in the original mathematics through your formalizations Who You Are - Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - Strong foundation in rigorous proof writing and mathematical reasoning across areas such as algebra, analysis, topology, logic, or discrete mathematics - Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable proof systems — Lean 4 strongly preferred - Able to translate informal mathematical arguments into clean, structured formal proofs - Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics - A mathematically mature problem-solver who finds satisfaction in expressing elegant human arguments in a form a machine can verify 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 AI evaluation systems - Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies Why Join Us - Work on cutting-edge AI projects alongside leading research labs and AI teams - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually challenging work - Contribute directly to the development of AI systems that can reason about advanced mathematics - Work at the true frontier of formal verification — on problems that push the limits of what machines can understand - Potential for ongoing work and contract extension as new projects launch

Alignerr

Senior Software Engineer — Agentic Coding

AlignerrSoftware, AI and Data

$80-$120/hr

Worldwide

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About this role · Coding

About the Role What if your software engineering expertise could define how the next generation of AI writes, debugs, and ships code on its own? We're looking for Senior Software Engineers in Sydney to work at the frontier of agentic AI — building, evaluating, and improving autonomous coding systems that can reason through complex problems, execute multi-step plans, and produce production-quality software with minimal human intervention. This is where deep engineering skill meets the most transformative technology of our time. You'll work on real problems that push the boundaries of what AI agents can do — and your code, judgment, and architectural thinking will directly shape how these systems evolve. This is a fully remote, flexible contract role. If you're a senior engineer who's excited about agentic AI and wants to work on problems that genuinely matter, we want to hear from you. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design, build, and refine agentic coding workflows — systems where AI autonomously plans, writes, tests, and iterates on code - Evaluate AI-generated code for correctness, efficiency, security, and adherence to best practices - Create complex, real-world coding challenges and benchmarks to stress-test agentic AI capabilities - Provide expert-level feedback on AI reasoning chains, tool usage, and code output quality - Identify failure modes, edge cases, and areas where autonomous agents break down - Develop and improve evaluation frameworks, rubrics, and testing harnesses for agentic systems - Collaborate asynchronously with researchers and engineers working on large language models and AI agents - Work independently on task-based assignments at your own pace and on your own schedule --- Who You Are - 5+ years of professional software engineering experience — you've built, shipped, and maintained real systems - Proficient in one or more major languages: Python, JavaScript/TypeScript, Java, C++, Go, or Rust - Strong understanding of software architecture, design patterns, and system design principles - Comfortable reading, reviewing, and debugging code you didn't write — across diverse codebases and styles - Deep familiarity with modern development workflows: version control, CI/CD, testing frameworks, and code review - Excellent problem-solving and analytical thinking — you can reason through ambiguous, multi-step technical challenges - Clear, precise technical communicator who can articulate why code is good, bad, or broken - Self-directed and reliable when working independently without close supervision - Genuinely curious about AI, LLMs, and the future of autonomous software development --- Nice to Have - Experience with AI/ML systems, prompt engineering, or LLM-based tooling - Familiarity with agentic frameworks (e.g., LangChain, AutoGPT, CrewAI, OpenAI function calling) - Background in developer tools, compilers, static analysis, or code generation - Experience evaluating or training AI models — RLHF, preference labeling, or similar workflows - Contributions to open-source projects or a strong public engineering portfolio - Knowledge of multiple programming paradigms and languages --- Why Join Us - Work at the absolute frontier of agentic AI — one of the most exciting areas in technology today - Collaborate on cutting-edge projects alongside leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the depth and challenge of meaningful, high-impact engineering work - Your expertise directly shapes how AI agents write software — influencing tools used by millions of developers - Ongoing learning exposure to state-of-the-art large language models and autonomous systems - Potential for long-term engagement and contract extension as projects scale

Alignerr

Data Scientist (Masters)

AlignerrSoftware, AI and Data / STEM

$40-$80/hr

Worldwide

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About this role · Stem

About the Role What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems think and reason? We're looking for data scientists with advanced training to join Alignerr's AI training program — working hands-on with cutting-edge language models to stress-test their reasoning, expose their blind spots, and help build AI that actually gets the hard stuff right. This is a fully remote, flexible contract role. No prior AI industry experience required — just deep, rigorous knowledge of data science and the ability to communicate it with precision. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Challenges — Create complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more - Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions including Python/R scripts, SQL queries, and mathematical derivations that set the standard for correct AI responses - Audit AI-Generated Code — Evaluate outputs from models using Scikit-Learn, PyTorch, TensorFlow, and other major libraries for technical accuracy, efficiency, and soundness - Sharpen AI Reasoning — Identify and document logical failures in AI outputs — data leakage, overfitting, improper handling of class imbalance — and provide structured feedback that improves how models think - Document Failure Modes — Systematically record where and how AI reasoning breaks down so research teams can harden model behavior at scale Who You Are - Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis - Deeply grounded in core data science: supervised and unsupervised learning, deep learning, statistical inference, and big data technologies like Spark or Hadoop - Comfortable writing rigorous technical solutions and explaining complex algorithmic concepts clearly in writing - Precise and detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss - Self-directed and reliable when working independently on an asynchronous schedule - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, data quality workflows, or evaluation systems - Familiarity with production-level data science practices — MLOps, CI/CD for models, or model deployment pipelines - Exposure to NLP, computer vision, or other applied ML domains Why Join Us - Work directly with industry-leading AI language models on technically meaningful problems - Fully remote and flexible — work when and where it suits you - High autonomy contractor arrangement with international reach - Contribute to AI development that shapes how the technology understands data science at its frontier - Potential for ongoing work and contract renewal as new projects launch

Alignerr

Code Review Specialist

AlignerrSoftware, AI and Data

$40-$120/hr

Worldwide

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About this role · Coding

About the Role What if your coding knowledge could directly improve the AI tools that millions of developers rely on every day? We're looking for Code Review Specialists to evaluate AI-generated code for correctness, efficiency, and readability — helping make AI a smarter, more reliable programming partner. This is a fully remote, flexible contract role open to anyone who can read and understand code. No CS degree or professional software engineering background required. If you've taught yourself to code, build projects as a hobby, or just love digging into how programs work, we want to hear from you. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review AI-generated code in Python, JavaScript, or other languages for correctness, logic, and quality - Identify bugs, edge cases, logical errors, and inefficiencies - Rate code quality using structured evaluation rubrics - Suggest clear, actionable improvements and explain your reasoning - Work across a variety of programming challenges spanning multiple difficulty levels - Complete assignments independently and asynchronously on your own schedule Who You Are - Able to read and understand code in at least one programming language - Analytical thinker with a sharp eye for logic and detail - Clear written communicator — you can explain technical concepts in plain language - Self-motivated and consistent in your evaluations - No computer science degree or professional coding experience required — hobbyists and self-taught developers are strongly encouraged to apply Nice to Have - Familiarity with multiple programming languages - Experience with debugging, code review, or software testing - Background in software development, computer science, or a related technical field - Prior exposure to AI tools or developer workflows Why Join Us - Work on real AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with meaningful, task-based work that has a tangible impact - Contribute to shaping how AI understands and writes code - Potential for ongoing work and contract extension as new projects launch

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 data governance could directly shape how AI understands and accelerates scientific discovery? 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 the next generation of AI-driven life sciences breakthroughs. This is a fully remote, flexible contract role for an experienced professional who knows how to navigate complex regulated data environments — and who wants their work to matter. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions - Define and enforce data policies spanning classification, access controls, security, and metadata management across research, clinical, regulatory, and partner teams - Enable secure, governed data access that supports advanced analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information - Identify gaps in existing data governance frameworks and implement improvements that align with regulatory expectations and scientific best practices - Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and quality controls Who You Are - Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments - Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., FDA, GCP, HIPAA, 21 CFR Part 11) - A skilled collaborator who can bring together scientists, engineers, compliance officers, and business teams around shared data standards - Detail-oriented, systematic, and committed to data quality and integrity - Comfortable working independently in an asynchronous, remote environment Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training data pipelines - Familiarity with data governance frameworks such as DAMA-DMBOK or FAIR data principles - Experience with clinical data management systems or regulatory submission data packages - Background in bioinformatics, health informatics, or a related technical discipline Why Join Us - Work at the intersection of cutting-edge AI and life sciences research — your governance work directly enables better science - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with meaningful, high-impact work that goes beyond routine contracting - Exposure to advanced AI models and the data pipelines that make them trustworthy and effective - Collaborate with world-leading AI research teams and life sciences organizations - Potential for ongoing engagement and contract extension as projects grow

Alignerr

Biochemistry Subject Matter Expert - AI Content Specialist

AlignerrLife Sciences

$35-$70/hr

Worldwide

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About this role · Stem

About the Role We're looking for PhD-level Biochemists to help train and refine some of the world's most advanced AI models. Your deep scientific expertise will directly shape how AI reasons about protein folding, metabolic pathways, enzyme kinetics, and more — contributing to AI systems that could transform scientific research. This is a fully remote, flexible contract role. No prior AI experience required. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft challenging biochemistry problems across domains like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to stress-test AI performance - Author Ground-Truth Solutions — Develop rigorous, step-by-step technical responses that serve as gold-standard benchmarks for AI scientific reasoning - Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for accuracy, safety, and scientific validity - Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry, flawed stereochemistry, or misapplied biochemical principles, and provide structured feedback to improve model performance Who You Are - Advanced Degree: PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline - Domain Expertise: Strong foundational knowledge in areas such as structural biology, enzymology, cellular metabolism, or bioinformatics - Scientific Writer: Ability to communicate complex biological and chemical concepts clearly and precisely in written form - Detail-Oriented: High precision when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, evaluation systems, or quality assurance workflows - Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST - Background in scientific writing, peer review, or technical editing Why Join Us - Work on cutting-edge AI projects in partnership with leading AI research labs - Fully remote and flexible — work on your own schedule, anywhere in the world - Freelance perks: autonomy, variety, and meaningful global collaboration - Gain firsthand exposure to how large language models are trained and evaluated - Potential for ongoing work and contract extension

Alignerr

Health Informatics Analyst

AlignerrHealthcare / Software, AI and Data

$30-$65/hr

Worldwide

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About this role · Stem

About the Role We're looking for experienced Health Informatics Analysts to help shape the future of AI in healthcare. At Alignerr, we partner with the world's leading AI research labs to build smarter, more accurate models — and your deep knowledge of healthcare data, EHR systems, and clinical workflows is exactly what we need. This is your opportunity to put your expertise to work on cutting-edge AI projects, all from the comfort of your own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Analyze and interpret healthcare and EHR data to identify trends and support AI training across clinical and operational domains - Evaluate and assess health information systems, data pipelines, and reporting tools for accuracy, quality, and efficiency - Prepare structured feedback, assessments, and recommendations that help AI models better understand healthcare contexts - Review AI-generated healthcare content and outputs for clinical accuracy, appropriate terminology, and real-world applicability - Collaborate asynchronously with a global team of domain experts and AI researchers Who You Are - Experienced with healthcare data, EHR systems, or clinical reporting platforms - Strong analytical skills with a background in data visualization, reporting, or trend analysis - Comfortable bridging the gap between clinical, technical, and operational perspectives - Detail-oriented and able to follow structured evaluation guidelines consistently - Self-motivated and capable of working independently in a remote, async environment Nice to Have - Prior experience with data annotation, data quality assessment, or evaluation systems - Familiarity with health informatics standards (e.g., HL7, FHIR, ICD coding) - Background in clinical informatics, healthcare IT, or population health analytics Why Join Us - Work on meaningful AI projects that intersect healthcare and cutting-edge technology - Fully remote and flexible — work on your own schedule, from anywhere - Contribute directly to how AI understands and reasons about healthcare - Collaborate with top AI research teams and domain experts worldwide - Freelance autonomy with the backing of a world-class organization - Potential for ongoing work and contract extension

Alignerr

AI Policy, Ethics & Compliance Analyst

AlignerrEducation and Humanities

$40-$120/hr

Worldwide

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About the Role What if your judgment and ethical reasoning could directly influence how AI systems behave at scale? We're looking for thoughtful, analytical people to evaluate AI-generated content for safety, fairness, and ethical alignment — helping ensure that AI reflects human values and avoids harm. This is a fully remote, flexible contract role open to anyone with strong critical thinking and clear written communication skills. No AI or policy background required. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review AI-generated content and evaluate it against safety, fairness, and ethical standards - Classify outputs based on compliance criteria including accuracy, bias, and potential for harm - Flag content that is misleading, inappropriate, or misaligned with established guidelines - Write structured, well-reasoned feedback on policy-related issues and edge cases - Work across a diverse range of topics, content types, and real-world scenarios - Complete task-based assignments independently and on your own schedule Who You Are - A sharp, analytical thinker who can evaluate nuanced content objectively - Comfortable engaging with complex topics around ethics, fairness, and social responsibility - Strong written communicator — you can articulate your reasoning clearly and consistently - Detail-oriented and reliable in following structured evaluation guidelines - Self-motivated and able to work independently without close supervision - No prior experience in AI, policy, or compliance required Nice to Have - Background or interest in ethics, law, philosophy, social sciences, or journalism - Experience in content moderation, research, or quality assurance - Familiarity with AI tools or content evaluation workflows Why Join Us - Work on meaningful AI safety projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of impactful, task-based work - Contribute to AI development that shapes how technology affects people's lives - Potential for ongoing work and contract extension as new projects launch

Alignerr

Precision Medicine Data Lead

AlignerrHealthcare

$40-$80/hr

Worldwide

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About the Role What if your deep expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to bring domain authority to cutting-edge AI projects — guiding how complex healthcare and genomic datasets are integrated, governed, and transformed into insights that matter. This is a fully remote, flexible contract role built for experienced professionals in healthcare data, life sciences, or clinical informatics who want to contribute to something genuinely consequential. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms - Lead analytical strategies that convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives - Evaluate and improve AI-generated outputs in healthcare and life sciences contexts — assessing accuracy, clinical relevance, and scientific soundness - Collaborate across clinical, research, and technical teams to ensure data quality, regulatory alignment, and strategic coherence - Communicate findings and recommendations clearly to both scientific and non-technical stakeholders - Work independently and asynchronously — fully on your own schedule Who You Are - Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles - Strong background in data integration, data governance, and translating complex data into meaningful insights for clinical or scientific audiences - Comfortable navigating cross-functional environments alongside clinicians, researchers, and engineers in regulated or highly technical settings - Detail-oriented and rigorous — you hold yourself and your work to high scientific and ethical standards - Self-directed and reliable when working independently without close supervision Nice to Have - Prior experience with data annotation, data quality assurance, or evaluation systems - Familiarity with AI or machine learning applications in healthcare or life sciences - Background in bioinformatics, clinical informatics, or translational research - Experience with precision medicine platforms, EHR systems, or genomic data standards (e.g., HL7, FHIR, VCF) Why Join Us - Work on cutting-edge AI projects alongside the world's leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Apply your domain expertise to AI development that could reshape how personalized medicine is practiced at scale - Potential for ongoing work and contract extension as new projects launch

Alignerr

Hospital Health Data Governance Lead

AlignerrHealthcare

$40-$80/hr

Worldwide

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About the Role What if your deep expertise in healthcare data governance could directly shape how AI understands and works with clinical information for millions of patients? We're looking for experienced Hospital Health Data Governance Leads to help ensure that hospital data used in AI training is accurate, trusted, compliant, and ready for clinical, regulatory, and analytical use. This is a fully remote, flexible contract role built for healthcare data professionals who know how to bridge clinical, technical, and compliance worlds. If you've spent time wrangling health records, enforcing data standards, or navigating HIPAA in complex hospital environments — this is your opportunity to apply that expertise at the frontier of AI. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Evaluate and apply governance standards to ensure hospital health data is accurate, consistent, and secure - Assess data quality frameworks across clinical, operational, and administrative data domains - Identify gaps in data policies, workflows, and controls — and recommend practical improvements - Review and validate data governance documentation for compliance with healthcare regulatory frameworks including HIPAA - Work across clinical, IT, and compliance contexts to align data policies and ensure appropriate data use - Support the development of high-quality, governed health data assets suitable for AI model training and evaluation - Complete task-based assignments independently on your own schedule Who You Are - Experienced in healthcare data governance, data management, or clinical data operations within a hospital or health system setting - Strong working knowledge of healthcare privacy, compliance, and regulatory requirements — especially HIPAA - Able to evaluate data quality, consistency, and governance controls across complex, multi-stakeholder environments - Comfortable working cross-functionally with clinical, technical, and administrative perspectives - Detail-oriented and systematic in your approach — you spot data integrity issues others miss - Self-motivated and reliable when working independently without direct supervision Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training datasets - Background in health informatics, clinical data management, or healthcare compliance - Familiarity with EHR systems, data dictionaries, or healthcare interoperability standards (HL7, FHIR) - Experience designing or auditing data governance frameworks in regulated healthcare environments Why Join Us - Work at the intersection of healthcare data and cutting-edge AI — a genuinely rare opportunity - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, domain-specific work - Contribute directly to AI systems that could shape the future of clinical decision-making and patient care - Exposure to large-scale health data systems and how leading AI research teams approach clinical data - Potential for ongoing work and contract extension as new projects launch

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