Tableau Data Engineer at inetum2 | Porto

Mindrift connects technical specialists with AI projects from top technology companies. The team applies practical expertise to advance Generative AI, bringing together experts from around the world to tackle meaningful technical challenges. Role overview This is a part-time, remote contract position focused on the Tendem project. As a Freelance Python Data Scraping Engineer (AI Pilot), the main responsibility is to manage complex data extraction and processing tasks. The work often involves tools like Apify and OpenRouter, as well as custom-built workflows. Success in this role requires both technical accuracy and creative problem-solving. What you will do Extract data end-to-end from complex websites, producing structured datasets with strong attention to accuracy and reliability. Use internal tools (such as Apify and OpenRouter) and custom scripts to improve data collection, validation, and delivery. Adapt scraping strategies for dynamic sites, JavaScript-rendered content, and shifting web behaviors. Ensure high data quality by running validation checks, maintaining consistency, and verifying results before submission. Scale operations for large datasets using batching or parallelization, monitor failures, and adjust to minor site changes as needed. Requirements Minimum of 3 years of experience in data engineering, web scraping, automation, or a related technical field. Compensation Project contributors can earn up to $30 per hour, depending on contribution level and pace. Actual rates may vary by project scope, complexity, and required expertise. How to apply Apply through this listing and include details about your relevant experience. Mindrift matches technical experts with projects that align with their skills and availability, from automation and coding to refining AI outputs. Every contribution supports the broader impact of AI in real-world applications.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. All participation is freelance and project-based, not permanent employment. Role overview This freelance Optical Engineer role centers on using Python to help train and refine AI systems. The work is remote, with preference for candidates based in Porto, Portugal, or nearby areas. What you will do Design computational physics problems that reflect real research workflows. Create problem sets requiring Python programming solutions, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and not solvable manually in a reasonable timeframe. Develop scenarios involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw on real research challenges or practical physics applications for inspiration. Validate solutions in Python, using established physics simulation libraries. Document each problem clearly and provide verified, correct answers. Requirements Degree in Physics (theoretical, experimental, or computational) or a related field. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar languages is also acceptable. At least 2 years of professional experience in applied research or teaching. Experience with numerical simulation methods. Ability to design problems that mirror authentic physics research workflows. Creative approach to problem design across multiple physics domains. Knowledge of physics modeling and approximation techniques. Strong written English skills at C1 level or above. Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment Tasks typically require about 10–20 hours per week during active project phases. Workload may vary depending on project needs and is not guaranteed outside of active phases. Compensation Earnings can reach up to $29 per hour, depending on expertise and contribution speed. Actual rates may differ by project, based on scope, complexity, and required skills. Other projects may offer different rates according to their specific requirements.

Toloka AI is looking for a freelance Civil Engineer & Python Specialist to support AI model training projects. This role is remote, with candidates expected to be based in Porto, Porto District, Portugal. Role overview This position combines civil engineering knowledge with Python programming to help improve AI systems. The work is project-based and allows for flexible, freelance engagement. Key responsibilities Offer civil engineering insights to guide AI model training Use Python to assist with AI development and related tasks Requirements Professional background in civil engineering Proficiency in Python Interest in artificial intelligence and openness to freelance work Location This is a fully remote freelance opportunity. Applicants must reside in Porto, Porto District, Portugal.

Toloka AI seeks a freelance Mechanical Engineer with strong Python skills to join as an AI Trainer. This contract role is fully remote and welcomes candidates based in Porto or anywhere in Portugal. Role overview This position centers on sharing expertise in mechanical engineering and Python, guiding learners as they develop skills relevant to artificial intelligence. The work is flexible and designed for those who enjoy teaching and supporting others in a technical context. What you will do Develop training materials that highlight the intersection of mechanical engineering and Python in AI applications. Lead online sessions for individuals interested in artificial intelligence. Provide hands-on support to help participants build practical skills. Location and contract details This is a freelance, remote position. While the focus is on supporting learners in Porto, applicants from across Portugal are welcome.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a contract-based, non-permanent role. Role overview This freelance position combines electrical engineering expertise with Python programming for AI training projects. Work is remote, based in Porto, Porto District, Portugal. Contributors handle a variety of engineering and programming assignments, with each project bringing its own requirements. Key responsibilities Design engineering challenges that mirror real-world workflows Create Python programming tasks for calculations and simulations Develop computationally intensive problems using numerical methods or iterative techniques Build challenges involving system design, optimization, and analysis Use authentic research problems or practical scenarios as the basis for tasks Validate solutions with Python and common engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Electrical Engineering or a closely related field Proficiency in Python for numerical validation; familiarity with tools such as MATLAB, R, C, SQL, Numpy, Pandas, or SciPy Minimum 2 years of professional experience, including applied research or teaching Understanding of real-world engineering constraints and approximations Strong written English skills (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus Project workflow Application Qualification Project engagement Task completion Compensation Time commitment During active project phases, expect to spend about 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside these periods. Compensation Earn up to $31 per hour, depending on expertise and task completion rate. Actual pay may vary by project based on scope, complexity, and required skills.

Toloka AI is seeking a freelance specialist with a strong background in biology and Python programming. This remote position is based in Porto, Portugal. Role overview This project centers on training AI models to better understand biological concepts using Python. The work involves applying subject matter expertise to improve how AI interprets and processes information in biology through code-based tasks. What you will do Use knowledge of biology and Python to guide AI model training Contribute to the development of educational resources powered by AI Location This freelance role is fully remote, with a focus on candidates located in Porto, Porto District, Portugal.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists in chemistry and Python with project-based AI work for technology firms. These freelance roles focus on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. Role overview As a Chemistry & Python Specialist, contributors work on a variety of computational chemistry tasks. Projects may involve: Designing original computational chemistry problems that mirror real research workflows Developing Python solutions using libraries such as numpy, scipy, and chemistry-specific packages Creating problems that require computational approaches beyond manual calculation Formulating challenges in physical chemistry, quantum chemistry, or molecular modeling that demand advanced reasoning Basing problems on real-world research issues or practical chemistry applications Validating answers through Python and established computational chemistry methods Documenting both problem statements and verified solutions thoroughly Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also acceptable At least 2 years of relevant experience (applied work, research, or teaching) Experience with numerical methods in chemistry Strong knowledge of computational chemistry concepts and methods Excellent written English (C1 level or higher) Project process The engagement process includes applying, completing qualifications, joining a project, performing assigned tasks, and receiving compensation. Time commitment Active project phases typically require an estimated 10–20 hours per week, depending on project needs. Actual workload may vary. Compensation Contributors can earn up to $29 per hour, depending on expertise and speed. Compensation is project-specific and may vary based on scope and complexity. Other projects on the Mindrift platform may offer different pay rates.

This freelance, project-based role connects mathematics experts with Python skills to AI training initiatives for toloka-ai. Work is remote, based in Porto, Portugal, and assignments are not permanent positions. Role overview Projects involve designing and validating advanced computational mathematics problems that reflect real mathematical research and practical applications. Contributors may: Create original math problems that mirror authentic research workflows Develop problems requiring Python programming to solve, often using Numpy, SciPy, or Sympy Ensure problems are computationally intensive, beyond manual solution within days or weeks Design tasks involving reasoning in number theory, combinatorics, graph theory, and numerical analysis Base problems on real research challenges or practical mathematical scenarios Validate solutions in Python with established mathematical libraries Document problem statements and provide verified, correct answers 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 similar tools is also acceptable At least 2 years of professional experience (applied, research, or teaching) Experience with numerical methods and symbolic computation Ability to design problems that reflect genuine mathematical research workflows Understanding of computational complexity theory Strong written English skills (C1 level or higher) How to participate Apply with a CV in English, including your English proficiency level Pass relevant qualification steps Join a project Complete assigned tasks Receive compensation Workload and compensation Project workload is estimated at 10–20 hours per week during active phases, depending on requirements. This is an estimate and not a guaranteed number of hours. Compensation can reach up to $29 per hour equivalent, based on contribution level and pace. Actual rates may vary by project scope, complexity, and expertise required. Other projects on the platform may offer different earning levels depending on their needs.

Please submit your CV in English and indicate your English proficiency level. This freelance, project-based role with Mindrift centers on developing and validating material science problems for AI training. Work is remote, with projects supporting leading technology companies. Assignments are not permanent and align with the needs of each project. Role overview Create original material engineering problems that mirror real-world scenarios and workflows Develop problems that require Python programming for engineering computations and simulations Design computationally intensive challenges using numerical methods or iterative solutions Focus on system design, optimization, and analysis tasks Draw inspiration from actual research issues or practical engineering cases Validate solutions with Python and standard engineering libraries Clearly document each problem statement and provide verified answers Requirements Degree in Material Science or a closely related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is valued Minimum of 2 years of experience in applied, research, or teaching roles Solid understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) How projects work The process includes: Apply, pass qualifications, join a project, complete assigned tasks, and receive compensation. Time commitment Expect to dedicate around 10–20 hours per week during active project periods. The actual workload may shift based on project needs. Compensation Earn up to $29 per hour, depending on experience and pace. Rates may vary between projects based on complexity and required expertise. Other projects on the platform may offer different compensation according to their needs.

Please submit your CV in English and specify your level of English proficiency. Mindrift offers project-based contract work for specialists in AI, connecting contributors with technology companies focused on testing, evaluating, and improving AI systems. This is not a permanent employment position but rather contract-based project work. Role overview This freelance AI Trainer position centers on creating and validating computational physics problems that require advanced Python programming. The work involves designing scenarios that reflect authentic research workflows and practical physics applications, particularly in areas like mechanics, electromagnetism, thermodynamics, and quantum mechanics. Contributors will: Develop original computational physics problems based on real research or practical applications Create challenges that require Python programming, using libraries such as Numpy, SciPy, and Sympy Design computationally intensive problems not easily solvable by hand Build scenarios demanding advanced reasoning across multiple physics domains Validate solutions in Python with standard physics simulation tools Document clear problem statements and provide verified, correct solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus Minimum 2 years of professional experience in applied physics, research, or teaching Background in numerical simulation methods Ability to design problems reflecting real-world research in physics Creative problem-solving skills across multiple physics domains Familiarity with physics modeling and approximation techniques Strong English skills at C1 level or above How the process works Apply Complete qualification(s) Join a project Finish assigned tasks Receive compensation Project commitment During active project phases, expect to spend roughly 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed number of hours. Compensation Contributors may earn up to $29 per hour. Actual rates depend on expertise, task complexity, and completion speed, and may vary by project.

Please submit your CV in English and include your English proficiency level. Mindrift offers project-based AI work for experienced professionals, collaborating with major technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a non-permanent, remote position based in Porto, Portugal, though work is fully remote. Role overview The Freelance Quantum Research Scientist & AI Trainer works on projects at the intersection of computational physics and quantum mechanics. The core focus is designing and validating Python-based problems that reflect real research challenges. All work is conducted remotely. What you will do Design computational physics problems modeled after real research workflows Create Python-based problems using libraries such as Numpy, SciPy, and Sympy Develop complex, computationally intensive problems that may take days or weeks to solve Craft advanced reasoning problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on authentic research challenges or practical physics scenarios Validate solutions using standard Python physics simulation libraries Document clear problem statements and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is a plus At least 2 years of professional experience in applied research or teaching Hands-on experience with numerical simulation methods Ability to design problems that mirror real-world research processes Creative approach to problem design across multiple areas of physics Familiarity with modeling and approximation techniques in physics Strong written English at C1 level or higher How to apply The application process follows these steps: Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Project commitment Estimated workload is 10–20 hours per week during active project periods. Actual hours may vary depending on project demands. Compensation Contributors can earn up to $29 per hour. Actual rates depend on project scope and individual contributions.

Please submit your CV in English and indicate your English proficiency level. toloka-ai partners with Mindrift to offer project-based AI work for professionals in statistics and Python. These freelance roles help test, evaluate, and improve AI systems for technology clients. Assignments are temporary and do not constitute permanent employment. Role overview This freelance AI Trainer position focuses on designing and validating computational statistics problems with Python. Projects differ in scope, but core responsibilities include: Creating original computational statistics problems that mirror real mathematical research processes Developing challenges that require Python programming, often using libraries such as Numpy, SciPy, or Sympy Ensuring that problems are computationally demanding, sometimes requiring days or weeks to solve Incorporating advanced reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real research questions or practical mathematics applications Validating solutions using Python and established mathematical libraries Documenting both problem statements and solutions with clarity Requirements Degree in Statistics or a closely related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued Minimum of 2 years of relevant experience in applied, research, or teaching settings Strong written English skills at C1 level or higher Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are considered a plus Process steps Application Qualification Project participation Task completion Compensation Time commitment During active project phases, the estimated time commitment is 10–20 hours per week. Actual hours may shift depending on project needs. Compensation Contributors may earn up to $34 per hour, depending on expertise and pace. Compensation can vary by project requirements.

Please submit your CV in English and indicate your English proficiency level. Mindrift matches experienced professionals with project-based AI assignments for leading technology companies. This Freelance AI Evaluation Engineer position is remote, based in Porto (Portugal), and offered on a project basis rather than as a permanent job. Role overview This role focuses on building a dataset to evaluate AI coding agents using real-world developer tasks. The main goal is to design tasks and evaluation standards that reflect actual software development work. What you will do Create simulated companies from high-level plans, including codebases, infrastructure, and realistic context such as documentation, tickets, and conversations to mimic real development histories. Develop and refine tasks for different phases of these virtual companies: draft prompts, set evaluation standards, and confirm that tasks are both achievable and fairly assessed. Design assignments inside isolated environments that resemble a developer’s workstation, including a Linux setup with development tools, MCP servers (for repositories, task tracking, messaging, and documentation), and a functioning web application codebase. Write tests that accept all valid solutions while rejecting incorrect ones, making sure tests are neither overly strict nor too lenient. Collaborate with an AI agent to check that tests catch real problems, avoid missing errors, and do not penalize correct submissions. Review code generated by AI agents, analyze the causes of their successes or failures, and create edge cases or challenging examples. Revise your work based on feedback from expert QA reviewers who evaluate your output against quality standards. What this role does not include Data labeling Prompt engineering Writing code from scratch (the AI agent handles most coding; your focus is on guidance and evaluation) Direct collaboration with AI models is a key part of this work, since developing challenging tasks for advanced systems means working closely with those same models.

Toloka Annotators seeks a Freelance AI Trainer and Data Annotator to contribute to remote projects from Porto, Portugal. This contract role focuses on enhancing AI models through careful data annotation and training tasks. Key responsibilities Review and annotate various data sets to help develop machine learning systems Train AI models by following detailed guidelines and using provided tools Manage independent work across multiple projects Consistently deliver work that meets client quality standards Location details This is a remote role for candidates based in Porto, Porto District, Portugal.

Please submit your CV in English, including your English proficiency level. Mindrift connects professionals with project-based roles focused on evaluating, improving, and testing AI systems for leading technology companies. This freelance opportunity is project-based, not a permanent position. Role overview This freelance research physicist position centers on designing and validating computational physics challenges to support AI training. Each project brings a new set of tasks, often requiring a mix of creativity and technical expertise. Contributors create problems that reflect authentic research workflows and require Python programming solutions. What you will do Design computational physics challenges based on real research scenarios Create problems that require Python solutions, using libraries such as Numpy, SciPy, or Sympy Ensure tasks are computationally intensive and not easily solvable by hand Develop advanced problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics Validate solutions in Python with standard simulation libraries Document problem statements clearly and supply verified answers Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years of experience in applied, research, or teaching roles Background in numerical simulation techniques Ability to design problems reflecting real-world research practices Creative problem-solving across multiple areas of physics Knowledge of modeling and approximation methods Strong written English skills (C1 level or higher) How to participate Apply Pass qualifications Join a project Complete assigned tasks Receive payment Time commitment During active project periods, expect to spend approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload. Compensation Earn up to $29 per hour based on contribution and pace. Actual rates depend on project scope, complexity, and required expertise. Other projects on the platform may offer different rates. Location This remote freelance role is open to candidates based in Porto, Porto District, Portugal.

Embark on your coding journey with our engaging Beginner Python Programming Course, specifically designed for individuals with no prior programming experience. This curriculum emphasizes essential concepts such as variables, data structures, functions, conditionals, loops, input/output, and modules to ensure a comprehensive foundation in Python programming.Through a series of hands-on exercises and practical projects, students will actively build their programming skills. The course structure includes interactive examples and practical applications to solidify understanding.The capstone project allows participants to showcase their newly acquired skills, culminating in a text-based game or calculator, integrating all the concepts covered throughout the course. This program is structured to provide a solid grasp of Python basics while maintaining an approachable pace for beginners.Course OutlineModule 1: Introduction (6 hours)Content:Understanding SoftwareSetting Up the Python EnvironmentBasic Data Types and OperationsPrint and Input FunctionsModule 2: Variables and Data Structures (2 hours)Content:Utilizing Variables for Data StorageStrings, Integers/Floats, and BooleansLists, Tuples, and DictionariesModule 3: Control Flow (2 hours)Content:If/Else Conditional StatementsFor and While LoopsBreak, Continue, and Pass StatementsModule 4: Functions (4 hours)Content:Creating and Calling FunctionsFunction Parameters and Return ValuesScope and NamespacesModule 5: Error Handling (2 hours)Content:Identifying Common Errors and ExceptionsUtilizing Try/Except for Error ManagementModule 6: File Handling (2 hours)Content:Reading and Writing FilesOpening, Closing, and Appending FilesModule 7: Modules (2 hours)Content:Importing ModulesExploring Built-in ModulesModule 8: Final Project (4 hours)Content:Integrating Concepts LearnedDeveloping a Text-based Game or CalculatorTuition Fee: 475€ + VATCourse Schedule:Dates: 04-05-2026 to 27-05-2026Classes: Monday and Wednesday, 7 PM to 10 PM

Join Devoteam as a Data Engineer in the banking sector, where you will play a pivotal role in transforming data into actionable insights. You will collaborate with cross-functional teams to design, build, and maintain data pipelines, ensuring seamless data flow and integrity. Your expertise will help drive data-driven decision-making and enhance our clients' operational efficiency.

Farfetch stands as a premier global marketplace in the luxury fashion sector, seamlessly connecting customers across more than 190 countries with exquisite items sourced from over 50 nations and 1,400 prestigious brands, boutiques, and department stores. This unique platform offers an unparalleled shopping experience, granting access to an extensive selection of luxury goods worldwide. TECHNOLOGYOur mission is to craft comprehensive products and technologies that elevate the e-commerce experience for luxury consumers globally. We delve into understanding our customers' motivations and needs, designing and validating hypotheses, and ultimately delivering industry-leading experiences. PORTOLocated in a vibrant business hub near Porto in northern Portugal, our office fosters a dynamic and inviting atmosphere, encouraging our team members to connect and network with a diverse community of tech professionals. THE ROLEAs a vital member of our Data team, you will implement techniques to enhance data reliability and quality. This involves merging raw information from diverse sources and developing architectures that facilitate data extraction and transformation for effective data modeling. Your contributions will play a crucial role in delivering an exceptional customer experience and driving the growth of Farfetch. You will collaborate closely with the Data Engineering team to maintain and optimize our data architecture and tools.

We are seeking a talented Python Developer to join our dynamic team at inetum2 in Porto. As a Python Developer, you will play a key role in developing robust applications and enhancing existing systems. You will work collaboratively with cross-functional teams to design, implement, and maintain software solutions that meet our clients' needs.