Freelance Quantum Research Scientist & AI Trainer with Python

We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we facilitate connections between talented specialists and exciting project-based AI opportunities in leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note that participation is project-specific and does not …

TransPerfect is seeking a Senior AI Research Scientist to join its Lisbon office. This role centers on advancing AI and large language model (LLM) research, with a direct link between innovative research and real-world business applications. The work supports the evolution of TransPerfect’s products and services. The Team The TransPerfect AI Research group, formerly known as Unbabel AI Research, has played a key role in the company’s growth for more than a decade. The team’s achievements include award-winning contributions in machine translation, quality estimation, and language modeling. Projects such as COMET and the TowerLLM series have enhanced workflows and strengthened the GlobalLink platform for both clients and internal teams. What You Will Do Lead research and development efforts focused on AI and large language models Collaborate with a team recognized for work presented at major NLP and machine learning conferences Transform research findings into solutions that power TransPerfect’s offerings Contribute to the development of next-generation machine translation and language technologies Location This position is based in Lisbon, Lisboa, Portugal.

TransPerfect is seeking a Senior AI Research Scientist to join its Lisbon office. This position focuses on advancing artificial intelligence and large language models (LLMs), contributing to the development of future TransPerfect products. Research here moves quickly from concept to real business applications, allowing direct impact on workflows and client solutions. About the AI Research Team The AI Research group at TransPerfect, previously known as Unbabel AI Research, has been central to the company’s progress for more than a decade. The team’s work includes award-winning achievements in machine translation, quality estimation, and language modeling. Their notable projects, such as the COMET and TowerLLM models, drive the GlobalLink platform and have streamlined processes for both clients and internal teams. What you will do Lead research and development efforts in AI and LLM technologies Work closely with a team known for its expertise in NLP and machine learning Translate research outcomes into practical business products and services Impact and Recognition Research from this team has been published at top conferences and shapes products used around the world. AI research at TransPerfect plays a direct role in how language technology supports businesses on a global scale.

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.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift connects talented specialists with exciting, project-based AI assignments from leading technology companies, focusing on testing, evaluating, and enhancing AI systems. Note: Participation is project-based and not intended for permanent employment.What this role entails:Each project may present unique challenges, and contributors can expect to:Craft original material engineering problems that reflect authentic engineering workflows.Develop problems necessitating Python programming for engineering calculations and simulations.Design computationally intensive problems that require numerical methods or iterative solutions.Formulate challenges involving system design, optimization, and analytical processes.Base problems on real-world research challenges or applicable engineering practices.Validate solutions using Python with standard engineering libraries.Clearly document problem statements and provide verified correct answers.Qualifications we seek:This opportunity is ideal for material scientists and engineers with Python expertise, looking for part-time, non-permanent project engagements. Preferred qualifications include:A degree in Material Science or a related field.Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is also acceptable.At least 2 years of professional experience in applied research, teaching, or related fields.A solid understanding of practical engineering constraints and approximations.Strong command of written English (C1+ level).How it operates:Apply → Pass qualifications → Engage in a project → Complete tasks → Receive payment.Project Time Expectations:Tasks are estimated to require approximately 10–20 hours per week during active project phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $29 per hour, based on their expertise and contribution pace. Compensation will vary by project, depending on scope, complexity, and required skills. Other projects on the platform may offer different compensation levels based on their specific requirements.

Join the Kaizen Gaming Team!At Kaizen Gaming, the innovative force behind Betano, we rank among the largest GameTech companies globally, with a presence in 20 markets. Our mission is to harness cutting-edge technology to deliver an unparalleled experience to the millions of customers who rely on us for their entertainment.Our diverse team comprises over 2,700 Kaizeners from 40+ nationalities across three continents. We take pride in being recognized as one of the Best Workplaces in Europe and are certified as a Great Place to Work across our offices. Here, every day offers unique challenges and opportunities. Are you ready to unlock your potential?Your Role as a GenAI Senior Data ScientistAs a GenAI Senior Data Scientist, you will spearhead our AI initiatives by analyzing data, developing Generative AI applications, and architecting advanced agentic systems. Your responsibilities include selecting optimal large language models (LLMs), conducting prompt engineering, and fine-tuning models to enhance our AI offerings. You will collaborate with cross-functional tech teams to create impactful, production-grade AI solutions. The ideal candidate will possess deep knowledge of LLMs and agentic architectures, along with a proven track record of building and deploying applications in production environments.Key Responsibilities:Translate product requirements into AI-related challenges and identify opportunities for business impact through AI.Analyze data to reveal significant patterns and derive actionable insights.Design architectures for agentic and Generative AI systems.Choose suitable models for specific tasks and optimize their performance.Conduct exploratory data analysis (EDA) and feature engineering to facilitate the modeling process.Implement best practices in model selection and parameter tuning.Execute comparative experiments for model training.Evaluate various potential solutions by analyzing ML metrics.Oversee the complete lifecycle of AI features, from data collection to model design and production optimization.Mentor junior team members, sharing knowledge and leading complex projects.

We invite you to submit your CV in English, along with your proficiency level in the English language.Mindrift serves as a bridge, connecting experts with AI project opportunities from leading technology firms, concentrating on the evaluation, testing, and enhancement of AI systems. Please note that participation is based on projects rather than permanent employment.Opportunity Overview:Each project is unique, and contributors may be tasked with:Creating original computational physics problems that replicate authentic physics research workflows;Designing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally demanding, requiring extended timeframes (days/weeks) to solve manually;Generating problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on real-world research challenges or practical applications in the field of physics;Verifying solutions through Python with established physics simulation libraries;Clearly documenting problem statements and supplying verified correct answers.Qualifications We Seek:This opportunity is ideal for physicists with Python experience, looking for part-time and non-permanent engagements. The ideal candidates will possess: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, or other programming languages is also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that reflect real physics research workflows;Innovative thinking in problem design across various physics domains;Knowledge of physics modeling and approximation methods;Strong written English skills (C1+).Process:Apply → Complete qualifications → Engage in a project → Execute tasks → Get compensated.Project Commitment:For this role, tasks are projected to require approximately 10-20 hours per week during active phases, contingent on project demands. Please remember that this is an estimate and not a guaranteed workload.Compensation:Participants can earn up to $29 per hour, based on contribution level and efficiency. Compensation varies across projects, influenced by their scope, complexity, and necessary expertise. Note that other projects on the platform may offer different compensation levels based on their specific requirements.

Join the innovative team at Mindrift as an AI Workflow Engineer for the Tendem project (https://tendem.ai/). In this dynamic freelance role, you will develop cutting-edge automation systems utilizing Large Language Models (LLMs) within our unique AI + human collaborative environment.As an AI Pilot, you'll work alongside Tendem Agents to streamline repetitive tasks. Your skills in structured thinking, prompt engineering, and quality control will be pivotal in crafting scalable and reliable AI-driven workflows.This part-time, remote opportunity is perfect for professionals with a robust background in LLM integrations, prompt design, and AI automation systems.

At Arkadium, we're driven by a passion for creating enjoyable experiences through gaming. For over two decades, we've developed some of the most beloved games around the globe, from the classic Solitaire on Windows to numerous titles available on Arkadium.com, iOS, Android, and major gaming platforms worldwide.As an Evergreen company, our core values—Fierce Drive, Positive Energy, and Living Full Lives—guide our decisions and operations. We are privately held, founder-led, and take pride in being recognized as a top workplace, ensuring a stable yet dynamic growth environment.Our accolades include recognition from 'Happiness Works' for 2023, 2024, and 2025 in Portugal, as well as 'Crain's Best Places to Work 2022' and 'Great Place to Work' in New York for 2022 and 2023!Are you ready to join the Arkadium family? We're excited to hear from you!Position OverviewWe are seeking a passionate Data Scientist interested in exploring AI and gaming to develop practical applications of Generative AI and machine learning across our gaming platforms. In this role, you'll leverage existing Large Language Models (LLMs) and fine-tuning methodologies to demonstrate the potential of our data in enhancing AI models.Your contributions will also include employing traditional machine learning techniques to enrich player experiences, enhance internal tools, and provide actionable insights for product and marketing teams.Collaboration will be key as you work closely with engineers, product managers, and analysts to transform innovative ideas into scalable AI solutions that engage millions of players globally.We welcome applicants from mid-level to senior backgrounds, provided you possess a strong enthusiasm for AI and a desire to innovate and construct impactful systems.Key ResponsibilitiesInvestigate and implement Generative AI solutions utilizing existing LLMs.Experiment with fine-tuning and adapting models for applicable use cases.Employ traditional machine learning techniques to address challenges such as player behavior analysis, recommendation systems, and marketing optimization.Prototype and assess new AI-driven features and tools.Collaborate with cross-functional teams to align business needs with data science solutions.

Join our innovative research team as a Senior Scientist specializing in theoretical and computational modeling. In this pivotal role, you will craft mathematical frameworks and conduct computational simulations to elucidate complex physical systems. Collaborating closely with experimentalists and interdisciplinary scientists, you will validate and enhance your models, ensuring that your insights significantly impact experimental design, data interpretation, and technological advancements.If you are passionate about merging theoretical concepts with practical applications and are eager to develop impactful models in a dynamic environment, this is the ideal opportunity to advance the frontiers of physical science.Your Responsibilities:Design and optimize mathematical models targeting personalized medicine, ensuring relevance to real-world experiments.Collaborate with experimental teams to transform theoretical predictions into actionable hypotheses, guiding data collection and analysis.Employ analytical and computational methods, including simulations and numerical modeling, to explore physical phenomena.Utilize principles of statistical physics, quantum mechanics, and applied mathematics to derive valuable insights from experimental data.Assist in the analysis and interpretation of experimental outcomes, ensuring alignment between theoretical expectations and practical implementation.Stay informed about the latest advancements in physics, computational modeling, and clinical spectroscopy applications.Effectively communicate findings across various disciplines, fostering collaboration between theoretical and experimental initiatives.Contribute to the publication of research papers, patents, and presentations at prominent conferences.

toloka-ai seeks Freelance AI Workflow Engineers to help advance the Tendem project. This part-time, remote role focuses on building automation systems that blend large language models (LLMs) with human input. Work supports the development of intelligent workflows for content generation, communication, and process automation. Key responsibilities Design and improve workflows that use LLM APIs for generating content, automating tasks, and facilitating communication Collaborate with Tendem Agents who manage repetitive tasks, ensuring effective cooperation between AI systems and human contributors Apply structured thinking, prompt engineering, and quality assurance to deliver scalable, reliable AI-powered solutions Requirements Hands-on experience integrating LLMs and designing prompts Background in developing or refining AI-driven automation systems Ability to work independently as a remote freelancer Project context The Mindrift platform connects subject matter experts with AI projects from leading technology companies. Tendem aims to unlock Generative AI’s potential by combining global expertise with advanced tools. Location Remote , Porto, Porto District, Portugal

Join us at ComplyAdvantage, a premier SaaS provider transforming how fintech companies navigate intricate regulatory environments. Our innovative platform enables compliance and risk management for a diverse range of financial services firms, from burgeoning startups to established enterprises. We are committed to empowering our teams to tackle significant challenges and deliver exceptional value to our customers.Role OverviewAs a Senior Data Scientist, you will spearhead the creation and enhancement of advanced data-driven solutions aimed at detecting and preventing financial crime on a global scale. Your primary focus will be on Research & Development and Strategic Initiatives, dedicating 80% of your time to pioneering research in Machine Learning (ML), Natural Language Processing (NLP), and Agentic AI to generate measurable business impact within 3-6 month timeframes. Alongside conducting in-depth R&D, you will offer expert advisory support and technical leadership to our Product and Engineering teams. By guiding AI Enablement initiatives, you will equip these departments with the quantitative insights and frameworks required to scale impactful AI-driven features while mentoring junior team members.Key ResponsibilitiesLead R&D in GenAI and Agentic AI: Design and prototype innovative solutions for financial crime detection, emphasizing multi-agent systems and RAG architectures based on foundational LLM frameworks.Drive Production Excellence: Collaborate with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will set the standards for reliability, scalability, and ethical AI performance, ensuring that research prototypes evolve into robust, production-grade solutions.Establish Evaluation Frameworks: Lead the formulation of comprehensive evaluation methodologies for LLM and Agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.Evaluate Model Context Protocol (MCP): Investigate applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.Strategic Data Insights: Conduct advanced exploratory analysis across various data sources to uncover insights that directly inform product development decisions and agent behavior.Research & Innovation: Continuously explore and assess emerging tools and best practices in data science and Agentic AI to maintain ComplyAdvantage's leadership in the field.

Drive the design and implementation of advanced machine learning and deep learning models tailored for practical industrial and enterprise applications.Design and optimize robust data pipelines for training, evaluating, and continuously updating models.Implement production-ready machine learning systems leveraging REST APIs, microservices, or streaming inference techniques.Lead and enhance the MLOps strategy, encompassing model versioning, CI/CD processes, observability, monitoring, retraining, and experiment tracking.Collaborate with various stakeholders to outline the architecture and roadmap for AI solutions, ensuring cohesion with Bosch’s overarching technology strategy.Engage closely with teams spanning data science, backend development, product management, and platform engineering within Bosch’s global tech divisions.Uphold responsible AI standards focusing on performance, fairness, robustness, and interpretability.

Role Overview Pipedrive is hiring a Principal AI/ML Scientist & Engineer in Lisbon, Portugal. This role focuses on designing and building advanced machine learning solutions that improve product features and user experience. What You Will Do Lead the development of machine learning models and systems for Pipedrive’s products Work closely with engineering, product, and design teams to integrate AI features Apply scientific methods and engineering best practices to solve complex problems

Join GoCardless as a Fraud Prevention Data Scientist, where you'll be instrumental in fortifying our payment platform against fraud. Collaborate with a talented team of Engineers and Fraud Analysts to design and implement cutting-edge predictive models that enhance our fraud detection capabilities. Your role will encompass the entire lifecycle of machine learning solutions—from initial feature engineering to deployment in a production environment—aimed at minimizing false positives and streamlining controls. Engage with cross-functional teams to ensure our machine learning products are scalable within our Google Cloud Platform infrastructure, fostering innovation in the fintech landscape while delivering an exceptional customer experience.

We invite you to submit your CV in English and indicate your English language proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities across leading tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that this is a project-based engagement rather than a permanent position.Opportunity OverviewContributors will engage in various tasks unique to each project, which may include:Creating original computational statistics problems that reflect real-world mathematical research workflows;Developing Python programming challenges requiring solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and cannot be manually resolved within reasonable timeframes (measured in days/weeks);Formulating problems that necessitate complex reasoning chains across topics such as number theory, combinatorics, graph theory, and numerical analysis;Drawing on actual research challenges or practical applications from mathematical practice;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 experts with Python experience who are open to part-time, non-permanent projects. The 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, domain-specific libraries, or other programming languages is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Strong written English proficiency (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.How the Process Works1. Apply → 2. Pass qualifications → 3. Join a project → 4. Complete tasks → 5. Receive paymentProject Time ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week, based on specific project requirements. This is an estimate, not a guaranteed workload, applicable only while the project is active.CompensationParticipants can earn up to $34 per hour, depending on their expertise and contribution pace. Compensation varies across projects based on their scope, complexity, and required skills. Additional projects on the platform may offer different earning levels based on specific requirements.

Join Luxclusif, a pioneering global B2B platform revolutionizing the luxury resale market since 2013. As part of Farfetch since 2021, Luxclusif specializes in offering premium pre-owned fashion to a worldwide audience, utilizing cutting-edge data solutions to enhance the buying and selling experience. Our global operations and strategically positioned warehouses ensure a seamless supply chain, focusing on item curation, quality control, logistics, technology integration, and sales to deliver an unparalleled resale service to brands, retailers, and customers alike.THE TEAMOur R&D team is at the forefront of designing, developing, and enhancing the internal tools that drive our business. As a B2B leader in second-hand luxury, we leverage technology to optimize every phase of our operations, from procurement and logistics to sales and customer support. We are a diverse global team with members located in Portugal, Brazil, and the Philippines.PORTOOur office, situated near Porto in the vibrant northern region of Portugal, is part of a dynamic business hub that fosters a collaborative and engaging environment, allowing our employees to interact with a large community of tech professionals.THE ROLEAs a Senior Data Scientist, you will collaborate within a multidisciplinary team in the Data cluster, focused on developing strategic data products that enhance our company's competitive edge and provide analytical insights. We seek a proactive team player who is passionate about technology and eager to seize opportunities for professional growth.

NielsenIQ is seeking a talented and experienced Principal Data Scientist to join our dynamic team in Lisbon. In this role, you will leverage your expertise in data science to drive innovative solutions and insights that influence strategic business decisions. You will collaborate with cross-functional teams to develop predictive models, analyze complex data sets, and create actionable insights that support our clients in achieving their objectives.

Role Overview anyone-ai develops high-quality STEM training data for advanced AI models. The team’s work supports leading AI labs by improving model reasoning in technical fields. This remote position is open to candidates based in Portugal. The Physics AI Training Specialist will design challenging, original physics problems that test and expand the capabilities of state-of-the-art AI systems. Each problem must have one clear, verifiable answer, along with a thorough, validated solution. What You Will Do Create sophisticated physics problems for AI training and evaluation. Ensure each problem is deterministic, with only one correct solution. Document full reasoning and provide well-verified solutions in English. Develop multi-step problems that require deep physical reasoning, not just recall. Use Python or specialized tools to build simulations, models, or computational workflows when needed. Maintain technical accuracy, reproducibility, and clarity in all outputs. Required Qualifications Bachelor’s, Master’s, or PhD in Physics or a related field. Significant research or industry experience in theoretical, experimental, or computational physics. Proficient with Python and scientific libraries such as NumPy or SciPy. Strong skills in modeling, simulation, numerical methods, and complex problem solving. Ability to design original, challenging problems that reflect real-world physics work. Excellent attention to detail and technical writing skills in English. Preferred Qualifications Background in AI training or educational content creation. Understanding of machine learning concepts.

Anyone AI is seeking talented Full-Stack Developers to collaborate on an innovative project with a renowned AI laboratory. This role offers the opportunity to contribute to cutting-edge AI technology development.Qualifications:Exceptional written English communication skills3 to 7 years of experience in software engineeringProficient in Python and JavaScript/TypeScript; familiarity with Java, C#, or Go is a plusExperience in backend or full-stack development within production environmentsKnowledge of testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testingSkilled in debugging and navigating extensive, multi-file codebasesExperience with code reviews, refactoring, and production migrationsEngagement: This is a part-time, project-based expert evaluation position.Work Type: RemoteThe selected contributors will design and evaluate realistic software engineering tasks, including bug fixes, feature implementations, refactoring/migration, and test generation. Responsibilities encompass crafting complex coding scenarios and reviewing peer submissions for quality assurance.Responsibilities:Create and implement multi-file coding tasks for bug fixes, feature development, refactoring, and testingDraft clear natural-language specifications and reference implementationsDevelop and enhance unit and integration test suitesReview peer-generated tasks for accuracy, clarity, and realismIdentify edge cases, ambiguities, and potential failure modesEnsure consistency between specifications, code, and expected outputsExpected Outcomes:Deliver high-quality, production-ready software engineering tasks