Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Experience Level
Senior
Qualifications
Proven experience in Python programming and web scraping techniques. Strong problem-solving skills, especially with complex data extraction scenarios. Ability to work independently in a remote setting and adapt to changing technologies. Experience with AI technologies and data validation processes is a plus.
About the job
Jobgether seeks a Senior Python Data Scraping Engineer to join as a freelancer, working remotely from Spain. This role focuses on building and improving web data extraction systems that process large datasets and adapt to complex, dynamic websites.
What you will do
Design, develop, and maintain scalable web scraping solutions in Python
Address challenges involving dynamic content and high-volume data extraction
Collaborate with AI-driven agents to ensure accuracy and quality in data collection
Adjust scraping strategies as web environments and project needs evolve
Deliver reliable datasets that support advanced AI projects and analytics
Requirements
Strong background in Python and web scraping techniques
Experience handling dynamic websites and large-scale data
Attention to detail with a focus on precision
Ability to work independently and bring creative solutions
Located in Spain (remote work)
Position details
This freelance, remote position supports the creation of accurate datasets for AI applications. The role fits someone who enjoys practical engineering and values autonomy and technical skill.
About Jobgether
Jobgether connects talented individuals with innovative companies, offering flexible and remote job opportunities. We pride ourselves on fostering a collaborative environment where your expertise can shine.
Who We AreMoniepoint is an innovative global fintech company committed to delivering modern financial services to millions of individuals and businesses in high-growth markets. We focus on providing essential solutions, including payments, banking, credit, and financial management tools, enabling our users to manage their finances effortlessly and securely.O…
We are seeking a dynamic and results-driven Project Manager to join our Data Science Integrations Teams in a fully remote capacity. In this role, you will lead cross-functional teams to drive data science projects from inception to completion. You will coordinate with various stakeholders, ensuring that project objectives align with business goals while maintaining timelines and budgets.Your ability to manage multiple projects simultaneously and communicate effectively will be crucial to the success of our data initiatives. If you are passionate about leveraging data science to create impactful solutions, we would love to hear from you!
Please submit your CV in English and indicate your level of English proficiency.Mindrift is an innovative platform that connects talented specialists with project-based AI opportunities for prominent tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in the following tasks:Crafting original computational physics problems that mirror authentic physics research workflows;Developing problems that necessitate Python programming solutions (using libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and cannot be resolved manually within reasonable timeframes (days/weeks);Creating problems that require intricate reasoning chains in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical applications from the field of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is well-suited for physicists with Python expertise seeking part-time, project-based work. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is acceptable;At least 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation methods;The ability to design problems that replicate real physics research workflows;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1 or higher).Application ProcessTo apply, follow these steps: Submit your application → Pass the qualification assessments → Join a project → Complete assigned tasks → Receive payment.Project CommitmentDuring active phases of projects, tasks are expected to require around 10–20 hours per week, depending on the specific project requirements. Note that this is an estimate and not a guaranteed workload.CompensationContributors can earn up to $29 per hour, contingent upon their level of expertise and contribution speed. Compensation may vary based on project scope, complexity, and required skills. Please be aware that other projects may offer different compensation rates depending on their specific needs.
Please submit your CV in English along with your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading technology firms, primarily focused on testing, assessing, and enhancing AI systems. Please note that this is project-based participation and not permanent employment.Role OverviewEach project presents unique challenges, and contributors may be tasked with:Designing original materials engineering scenarios that replicate real-world engineering workflows;Creating computational problems that require Python programming for solving engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing challenges involving system design, optimization, and analytical processes;Formulating problems rooted in genuine research challenges or practical applications in engineering;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified, accurate answers.Candidate ProfileThis opportunity is ideal for material scientists and engineers proficient in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Material Science or related disciplines;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries considered equivalent;A minimum of 2 years of professional experience, applicable in applied research or teaching;Knowledge of practical engineering constraints and methodologies;Excellent written English skills (C1 or higher).Process OverviewApplication → Qualification Assessment → Project Assignment → Task Completion → CompensationProject Time CommitmentFor this role, project tasks are estimated to require 10–20 hours per week during active phases, based on specific project needs. This is an estimate and does not guarantee a fixed workload.CompensationContributors can earn up to $29 per hour, depending on their expertise and contribution level. Compensation may vary by project based on scope, complexity, and required skills. Please note that other projects on the platform may have different earning potentials.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and enhancing AI systems. This role is project-based and does not offer permanent employment.Opportunity OverviewEach project presents distinct tasks, which may include:Crafting original computational physics problems that emulate authentic physics research workflows;Formulating problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensuring challenges are computationally intensive, requiring more than just manual solutions within reasonable timeframes (days/weeks);Designing problems that demand intricate reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Utilizing real research challenges or practical applications from the field of physics as the foundation for problems;Validating solutions through Python and standard physics simulation libraries;Providing clear documentation of problem statements along with verified correct answers.Ideal Candidate ProfileThis opportunity is well-suited for physicists with Python expertise who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Experience with numerical simulation techniques;Capability to design problems that reflect actual physics research workflows;Inventive problem design across various physics domains;Understanding of physics modeling and approximation strategies;Strong written English skills (C1 or above).Application ProcessApply → Pass qualifications → Participate in a project → Complete assigned tasks → Receive payment.Project CommitmentTasks are anticipated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload, applicable only during active project periods.Compensation DetailsContributors may earn up to $29 per hour, contingent upon their level of expertise and contribution pace. Note that compensation may vary across projects depending on their scope, complexity, and required skill sets.
Please submit your CV in English and include your English proficiency level. Mindrift offers project-based freelance work for professionals in mathematics and Python, collaborating with leading technology companies to test and improve AI systems. This is not a permanent role, but rather a flexible, remote opportunity based in València, Valencian Community, Spain. Role overview Projects involve a range of tasks centered on computational mathematics and Python programming. Contributors may: Design computational mathematics problems that mirror real research workflows Create problems requiring Python solutions, using libraries such as Numpy, SciPy, and Sympy Develop computationally intensive problems that cannot be solved manually in a reasonable timeframe Formulate challenges in areas like number theory, combinatorics, graph theory, and numerical analysis, often requiring complex reasoning Base problems on real research questions or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements and provide verified answers clearly Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or other programming languages is also acceptable At least 2 years of professional experience in applied mathematics, research, or teaching Experience with numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research workflows Familiarity with computational complexity theory Exceptional written English skills (C1 level or higher) Application process The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment. Time commitment Tasks typically require 10–20 hours per week during active project phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Contributors may earn up to $29 per hour, depending on experience and pace. Rates vary by project based on scope, complexity, and expertise required. Other projects on the platform may offer different compensation levels.
lastminute.com is looking for a Data Engineer to join its Madrid office. This position centers on building and maintaining data pipelines that support analytics and business decisions across the company. Role overview The Data Engineer will design, implement, and support scalable systems to collect and process data. The work ensures that reliable, high-quality data is available for teams who analyze trends and guide travel-related decisions. What you will do Design and develop data pipelines that move and transform information efficiently Maintain and monitor existing data systems to guarantee their performance and reliability Support analytics by making sure data is accurate and accessible for reporting and insights Location This role is based in Madrid.
Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we bridge the gap between specialists and innovative AI projects for top technology companies, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Opportunity OverviewEach project presents distinct tasks, with potential responsibilities including:Creating original computational statistics problems that mimic real-world mathematical research workflows;Formulating problems that necessitate Python programming solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that problems are computationally intensive and cannot be manually resolved in a reasonable time frame (days/weeks);Developing problems that require complex reasoning chains in fields such as number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in actual research challenges or practical mathematical applications;Validating solutions using Python and standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We SeekThis role is ideal for statistics specialists with Python expertise, who are interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Statistics or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and domain-specific libraries may be equivalent;A minimum of 2 years of professional experience, including applied, research, or teaching backgrounds;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How the Process WorksSubmit your application → Complete qualification requirements → Join a project → Execute tasks → Receive payment.Project Time CommitmentFor this project, active tasks are estimated to require approximately 10–20 hours per week, varying based on specific project demands. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $34 per hour, depending on their expertise level and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Note that other projects on our platform may feature different earning potentials based on their criteria.
Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we connect talented specialists with project-based AI opportunities from leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Key Responsibilities:Craft complex Computer Science problems that mirror professional practices.Assess AI solutions for accuracy, assumptions, and limitations.Utilize Python (NumPy, Pandas, SciPy) to validate calculations or simulations.Enhance AI reasoning to meet industry-standard logic.Implement structured scoring criteria for multi-step problems.Collaborate with a global network of PhDs to uphold scientific integrity.Qualifications:This role is ideal for Computer Science experts with Python experience who are interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Computer Science or a related field.Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or other programming languages being acceptable.A minimum of 2 years of relevant professional experience (applied, research, or teaching).Strong English writing skills (C1+ level).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or practical projects are a plus.How to Apply:Submit your application, pass the necessary qualifications, join a project, complete your tasks, and get compensated for your efforts.Project Time Commitment:Estimated tasks require approximately 10–20 hours per week during active project phases. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $30 per hour, depending on their level of expertise and contribution pace. Compensation may vary across different projects based on scope, complexity, and required skills.
Please submit your CV in English and specify your English proficiency level. Mindrift connects subject matter experts with project-based AI work for leading technology companies. The focus is on evaluating, testing, and improving AI systems. This is a project-based contract, not a permanent staff position. Role overview This freelance AI Trainer role centers on designing and validating computational chemistry problems that simulate real-world research. Projects vary, and contributors may work on: Creating advanced computational chemistry problems that mirror authentic research workflows Developing tasks requiring Python programming solutions, using numpy, scipy, and chemistry-specific libraries Ensuring problems are computationally intensive and not solvable manually in a short period Formulating questions involving complex reasoning in physical chemistry, quantum chemistry, and molecular modeling Basing problems on actual research challenges or practical applications in chemistry Validating answers through Python, applying established computational chemistry methods Documenting problem statements clearly and providing accurate, verified solutions Requirements Degree in Chemistry or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific languages is also considered At least 2 years of relevant professional experience (applied work, research, or teaching) Experience with numerical methods in chemistry Understanding of computational chemistry principles and techniques Strong written English skills (C1 level or higher) Project process Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment Projects typically require an estimated 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Contributors can earn up to $29 per hour, depending on contribution level and project complexity. Rates may differ between projects based on scope and required expertise.
Veeva Systems is a purpose-driven organization and a leader in the industry cloud sector, empowering life sciences companies to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue in our last fiscal year and continue to see vast growth potential.Our core values at Veeva are: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just any public company; in 2021, we made history by becoming a public benefit corporation (PBC), which legally commits us to balancing the interests of customers, employees, society, and investors.As a Work Anywhere company, we offer flexibility for you to work from home or in the office, allowing you to thrive in your preferred environment.Join us in transforming the life sciences industry, as we commit to making a positive impact on our customers, employees, and communities.The RoleOpenData Clinical serves as the cornerstone for intelligent clinical operations.Patient recruitment remains the most significant challenge within the Clinical Trials industry. Delays in this process can postpone studies and, ultimately, delay the delivery of life-changing treatments to those in need. Our mission is to hasten this process.By identifying the most effective clinical sites, we facilitate quicker drug market entry. We project that OpenData Clinical will save at least one life annually through the optimization of Clinical Operations.You will be responsible for developing the backbone of our data quality engine and pipelines. Your contributions will enable thousands of curators to efficiently manage extensive datasets with accuracy, providing the life sciences industry with the high-quality data essential for accelerating clinical trials and drug development.This position is ideal for an engineer who prioritizes architectural integrity over quick fixes. You will be part of an engineering-driven culture that values technical excellence and grants true autonomy to innovate.
Join Our Innovative Team at ConstructorConstructor is revolutionizing search and discovery in ecommerce with our next-generation platform designed to optimize key performance metrics such as revenue, conversion rates, and profitability. Our proprietary search engine, developed entirely in-house, leverages cutting-edge transformers and generative LLMs to enhance everything from search functionality to personalized recommendations and shopping agents.Our engineering department, the largest in our company, is dedicated to maintaining the superiority of our engine, which consistently outperforms competitors in A/B testing. We are passionate about pushing the boundaries of AI technology to achieve remarkable results.With the capability to handle more than 1 billion queries daily in 150 languages across approximately 100 countries, our engine is trusted by leading ecommerce brands like Sephora, Under Armour, and Petco.At Constructor, we are a team of problem solvers committed to enhancing the experiences of both our customers and colleagues. We prioritize values such as empathy, transparency, curiosity, and continuous improvement, believing that empowering individuals leads to outstanding achievements.Founded in 2019 by Eli Finkelshteyn and Dan McCormick, Constructor continues to thrive as a U.S.-based company.About the RoleWe are looking for a Senior Data Engineer to join our Data Lake Team, a crucial part of the Constructor Data Platform that supports all internal data and machine learning teams. This role involves managing the ingestion of over 2 TB of compressed events daily and overseeing more than 6 PB of data in our data lake.The Data Platform Includes:A comprehensive suite of tools and infrastructure utilized daily by our data scientists and ML engineers.Public-facing APIs for event ingestion (FastAPI) and real-time analytics (ClickHouse, Cube).Data storage management in formats such as S3, ClickHouse, and Delta.Data processing capabilities using technologies like Python, Spark/Databricks, ClickHouse, AWS Lambda, and Kinesis.Robust monitoring solutions (Prometheus, OpenTelemetry, PagerDuty, Sentry).Automated testing for pipelines and data quality assurance.Cost observability and optimization functionalities.Tools for developers for creating, running, testing, and scheduling data pipelines, complemented by comprehensive support and documentation.Your Responsibilities Will Include:Maintaining and enhancing our data pipeline job framework.Developing a Data Quality framework for validating internal and external data sources.Continuously improving our data processing and storage capabilities.
Join our dynamic team at T-Systems Iberia, a part of Deutsche Telekom, where we are at the forefront of driving innovation in Data Science and Artificial Intelligence. We are looking for a skilled System Engineer who will collaborate with our AI teams to implement high-impact AI projects and integrate these solutions into operational systems. This role offers a unique opportunity to work with cutting-edge Generative AI technologies in a scalable environment.Your Responsibilities:• Collaborate with AI/ML teams to design and develop scalable, maintainable software solutions for AI-driven applications.• Establish and enforce software engineering best practices, focusing on architecture, modularization, and API management.• Enhance development workflows using TDD, DDD, GitOps, CI/CD, and automated testing methodologies.• Utilize containerization and orchestration tools like Docker, Kubernetes, Terraform, and Helm.• Ensure robust security measures by integrating with our Identity and Access Management systems.
Join thebridge3 as a Part-Time Lead Instructor in Data Science and inspire the next generation of data scientists! In this role, you'll leverage your expertise to guide students through the complexities of data analysis, machine learning, and data visualization. Your ability to convey advanced concepts in a clear and engaging manner will empower learners and enhance their skills in a practical setting.
Join thebridge3 as a Lead Instructor in Data Science for our part-time program in Sevilla! We are seeking a dynamic and knowledgeable professional to guide and inspire students in their journey to becoming data science experts.Your role will involve developing course content, delivering engaging lectures, and mentoring students through practical projects. If you have expertise in data science and a passion for teaching, we want to hear from you!
Plain Concepts seeks a QA Automation Engineer with strong Python skills. This remote role is open to candidates based in Barcelona, Catalonia, Spain. The main goal: improve product reliability by advancing automated quality assurance. Key responsibilities Collaborate with development teams to design and implement automated tests for company products Identify system weaknesses and suggest actionable improvements Help refine and enhance testing strategies and processes Location This is a fully remote position. The core team operates from Barcelona, Catalonia, Spain.
Join our dynamic team as a Lead Data Science Instructor in Sevilla! In this exciting role, you will be responsible for shaping the future of aspiring data scientists. You will lead courses that cover essential data science concepts and methodologies, providing hands-on guidance and mentorship to students.As a pivotal member of our educational team, you will collaborate with fellow instructors to enhance the curriculum and ensure an engaging learning experience. Your expertise will inspire the next generation of data professionals.
At T-Systems, part of Deutsche Telekom, we are at the forefront of technology innovation, enabling and advancing Data Science & AI use cases. Our dedicated team is responsible for the GenAI platform and the execution of vital AI projects aimed at maximizing business value through seamless integration into operational systems. We are seeking a talented and experienced Software Engineer to collaborate with our AI Teams, establish best software engineering practices, and design scalable, robust architectures. This position offers the chance to work with cutting-edge GenAI technologies such as multimodal AI and agentic AI within a high-impact, expansive environment.Key Responsibilities:Collaborate closely with AI/ML teams to develop scalable and maintainable software solutions for AI-driven applications.Implement best practices in software engineering, focusing on architecture, modularization, and API management.Enhance development workflows utilizing TDD, DDD, GitOps, CI/CD, and automated testing.Utilize containerization and orchestration tools (e.g., Docker, Kubernetes, Terraform, Helm).Ensure security measures by integrating with our Identity and Access Management systems.
At Abi, we are redefining healthcare access through our innovative global virtual care platform, delivering on-demand, omni-channel services to patients across 40 countries. Our mission is to simplify professional healthcare, making it as accessible as a conversation with a friend.By significantly lowering barriers to professional healthcare access, we support the United Nations Sustainable Development Goal 3, aiming to ensure healthy lives and promote well-being for everyone.Join our AI Lab, where we are committed to attracting and hiring exceptional Data Science and Machine Learning (ML) professionals. If you are considered for a role in our AI Lab, your contributions will be pivotal in enhancing AI/ML solutions and infrastructure that underpin our products and services, driving continuous innovation within our organization.ResponsibilitiesYou will play a crucial role in developing and advancing the AI-driven features of our services, ensuring the robustness and scalability of our models in a rapidly evolving global landscape.Your expertise will also be vital in mentoring junior colleagues within the AI Lab, fostering a collaborative and effective work environment.Key activities (subject to project progression)Analyze and refine data science prototypesDesign, train, and refine machine learning modelsInvestigate and apply suitable ML algorithms and toolsEnhance existing ML libraries and frameworksSelect suitable datasets and data representation techniquesConduct machine learning tests and experiments
Are you a passionate science specialist fluent in Spanish (Spain) who is ready to contribute to the advancement of artificial intelligence? As large-scale language models transition from simple chatbots to robust tools for scientific exploration, your expertise will be pivotal in creating high-quality training data. Imagine empowering AI to democratize world-class education, keep up with cutting-edge research, and enhance problem-solving for scientists and learners globally. This is your opportunity to make a significant impact! We are in search of science specialists well-versed in physical science, earth science, environmental science, chemistry, physics, astronomy, and scientific literacy. You will engage with advanced language models on concepts such as energy transformation, atomic structure, planetary motion, ecological systems, the water cycle, and scientific inquiry. Your role will involve documenting various failure modes to improve model reasoning. A typical day will see you interacting with the model on real-world scenarios and theoretical inquiries within science, validating factual accuracy and logical consistency, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. Ideal candidates will possess a bachelor’s, master’s, or PhD in a science discipline. Teaching experience, published research, laboratory or field research, and involvement in science communication projects are advantageous. Proficiency in Spanish and the ability to communicate clearly and methodically are essential. Are you ready to transform your scientific knowledge into the foundation for the AI of tomorrow? Apply today and start shaping the model that will educate the world!
