Qureos Mentor

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in London to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (UK-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Netherlands)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Germany-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

<div>
 
 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 Amsterdam and across the Netherlands to review, evaluate, and guide AI-generated code &mdash; 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.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review AI-generated TypeScript code for strict type safety, accurate interface design, and correct generic usage
 </li>
 <li>
 Develop complex, type-safe frontend components that demonstrate best practices in modern web architecture
 </li>
 <li>
 Provide detailed technical commentary on architectural decisions and type-driven development strategies
 </li>
 <li>
 Identify and flag ambiguities or errors in AI responses related to complex type definitions and asynchronous frontend patterns
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deep expertise in TypeScript &mdash; including static typing, generics, interfaces, and utility types
 </li>
 <li>
 3&ndash;5 years of hands-on experience with modern frontend or full-stack frameworks such as React, Angular, Next.js, Nuxt.js, or Node.js
 </li>
 <li>
 Strong written and verbal communicator who can clearly articulate technical reasoning
 </li>
 <li>
 Naturally detail-oriented with a high standard for code quality and correctness
 </li>
 <li>
 Bachelor's degree or higher in Computer Science or a related field preferred
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with data annotation, model evaluation, or AI training workflows
 </li>
 <li>
 Familiarity with full-stack TypeScript patterns and performance optimization
 </li>
 <li>
 Background in code review, technical writing, or engineering mentorship
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work when and where it suits you
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Make a direct, tangible impact on how AI understands and writes modern TypeScript
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Frontend TypeScript Engineer (AI Training)

<div>
 
 Data Scientist (Masters) &mdash; AI Data Trainer
 
 
 
 
 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 reason and solve problems? We're looking for Data Scientists with advanced degrees to challenge, evaluate, and refine cutting-edge AI models &mdash; exposing their blind spots, authoring gold-standard solutions, and making them genuinely smarter.
 
 
 This is a fully remote, flexible contract role. No prior AI industry experience required &mdash; just deep domain knowledge and a passion for rigorous, high-quality technical work.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design Advanced Challenges &mdash; Create complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
 </li>
 <li>
 Author Ground-Truth Solutions &mdash; Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers
 </li>
 <li>
 Audit AI-Generated Code &mdash; Evaluate outputs from models using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness
 </li>
 <li>
 Sharpen AI Reasoning &mdash; Identify logical failures in AI outputs &mdash; data leakage, overfitting, improper handling of imbalanced datasets &mdash; and provide structured feedback to improve model reasoning
 </li>
 <li>
 Document Failure Modes &mdash; Systematically capture how and why models break down across domains like neural network architectures, statistical modeling, and data engineering pipelines
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Pursuing or holding a Masters or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
 </li>
 <li>
 Solid foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
 </li>
 <li>
 Able to communicate complex algorithmic concepts and statistical findings clearly and concisely in writing
 </li>
 <li>
 Precise and detail-oriented &mdash; you catch errors in code syntax, mathematical notation, and statistical reasoning
 </li>
 <li>
 No prior AI or annotation experience required
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with data annotation, data quality assurance, or model evaluation workflows
 </li>
 <li>
 Proficiency in production-level data science practices &mdash; MLOps, CI/CD pipelines for models
 </li>
 <li>
 Familiarity with prompt engineering or working directly with large language models
 </li>
 <li>
 Background in academic or applied research
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work directly on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and asynchronous &mdash; work when and where it suits you
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, technically challenging work
 </li>
 <li>
 Engage hands-on with industry-leading large language models
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 <li>
 Make a direct, measurable impact on how AI reasons through the hardest problems in data science
 </li>
 </ul>
</div>

Data Scientist (Masters)

<div>
 
 About The Role
 
 
 
 What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in The Hague to build, evaluate, and improve AI-generated code &mdash; helping train AI systems to think like real developers.
 
 
 You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development &mdash; not theoretical, not bureaucratic, and not boring.
 
 
 This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Write, debug, and optimize code across a range of languages, frameworks, and problem domains
 </li>
 <li>
 Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
 </li>
 <li>
 Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
 </li>
 <li>
 Provide structured, detailed feedback explaining why code works &mdash; or doesn't
 </li>
 <li>
 Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
 </li>
 <li>
 Compare and rank multiple AI-generated solutions based on engineering quality
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software design principles
 </li>
 <li>
 Able to read, write, and reason about code with clarity and precision
 </li>
 <li>
 Strong problem-solving instincts and a systematic debugging approach
 </li>
 <li>
 Clear written communicator &mdash; you can explain technical decisions in plain language
 </li>
 <li>
 Self-motivated and reliable when working independently without supervision
 </li>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field &mdash; or equivalent practical experience
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience across multiple languages or tech stacks &mdash; full-stack, backend, systems, or data engineering
 </li>
 <li>
 Familiarity with AI/ML concepts, LLMs, or prompt engineering
 </li>
 <li>
 Background in code review, technical writing, or mentoring junior developers
 </li>
 <li>
 Experience with cloud platforms, DevOps, or distributed systems
 </li>
 <li>
 Competitive programming, open-source contributions, or side projects that demonstrate your craft
 </li>
 <li>
 Advanced degree in Computer Science or a related discipline
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with intellectually stimulating, high-impact work
 </li>
 <li>
 Directly influence how AI writes, understands, and reasons about code
 </li>
 <li>
 Sharpen your own engineering skills by evaluating diverse problems daily
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer (AI Training)

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and healthcare innovators to modernize how digital technologies support patient care and clinical operations.
 
 
 As a Digital Health Strategist, you will help design, implement, and scale digital health solutions&mdash;including telemedicine, remote monitoring, wearable data, and mobile health platforms&mdash;so they integrate seamlessly into clinical workflows and deliver measurable improvements in care delivery and outcomes.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Digital Health Strategist
 
 Type
 
 : Hourly Contract
 
 Compensation
 
 : $35&ndash;$75 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Develop and execute strategic plans to adopt and scale digital health technologies such as telehealth, remote patient monitoring, wearable integrations, and mobile health applications.
 </li>
 <li>
 Integrate digital data and platforms into clinical workflows so providers can use real-time, trusted information in patient care and operational decisions.
 </li>
 <li>
 Partner with clinical, technical, and business stakeholders to measure the impact of digital initiatives and continuously improve performance and outcomes.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Experience working with digital health platforms such as telemedicine, mobile health apps, remote monitoring, or wearable data systems.
 </li>
 <li>
 Strong understanding of how healthcare workflows, data, and technology intersect to support patient care and clinical operations.
 </li>
 <li>
 Ability to collaborate across clinical, technical, and leadership teams to drive adoption, alignment, and measurable results.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience with data annotation, data quality, or evaluation systems
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead and influence projects at the intersection of healthcare and advanced AI.
 </li>
 <li>
 Exposure to cutting-edge digital health and data-driven care models.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 15&ndash;20 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Digital Health Strategist

Join Alignerr and explore 24   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Alignerr

About Company

Software Engineer – Machine Learning (AI Training)

Software Engineer – Machine Learning (AI Training)

Software Engineer – Machine Learning (AI Training)

Frontend TypeScript Engineer (AI Training)

Data Scientist (Masters)

Software Engineer (AI Training)

Digital Health Strategist