Anyone AI is seeking talented Full-Stack Developers to join an innovative project collaborating with a prestigious AI lab.Qualifications:Fluent written and spoken English at an advanced professional level.3 to 7 years of hands-on software engineering experience.Expertise in Python along with strong skills in JavaScript or TypeScript; familiarity with Java, C#, or Go is a plus.Proven experience in backend or full-stack development within production environments.Knowledge of testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing.Demonstrated ability to debug and manage extensive multi-file codebases.Experience in conducting code reviews, refactoring, and managing production migrations.Engagement: This is a part-time, project-based consulting role.Work Type: Remote.As a contributor, your tasks will include designing and assessing realistic software engineering challenges, focusing on bug resolution, feature implementation, refactoring, and test generation. This involves creating intricate coding scenarios and evaluating peer submissions for quality and accuracy.This consultancy is project-based, with compensation determined per project; hourly rates are estimates based on expected completion times. Consultants have flexibility in scheduling, provide their own tools, and may engage with other clients concurrently (subject to their agreements).Responsibilities:Contributors will be responsible for:Designing and executing coding tasks that span bug fixing, feature development, refactoring, and testing.Drafting clear specifications and reference implementations in natural language.Developing and enhancing unit and integration test suites.Reviewing tasks created by peers for accuracy, clarity, and realism.Identifying edge cases, ambiguities, and potential failure scenarios.Ensuring that specifications, code, and expected outputs are consistent.Expected Outcomes:Delivering high-quality, production-ready code and specifications.

Anyone AI is seeking Backend Developers to join project-based consulting work with a prominent AI research lab. This remote, part-time role centers on designing and evaluating realistic software engineering tasks for AI training, with a focus on backend systems. Role overview As a Backend Developer – AI Trainer, the position involves crafting and reviewing coding scenarios that mirror real-world engineering challenges. Typical tasks include bug resolution, feature implementation, refactoring, and test creation. The work will also require reviewing peer submissions to ensure they meet quality standards. What you will do Create and implement multi-file coding tasks, including bug fixes, new features, refactoring, and test generation. Draft clear, natural language specifications and provide reference implementations. Develop and expand unit and integration test suites. Review peer-generated tasks for accuracy, clarity, and feasibility. Identify edge cases, ambiguities, and potential failure points. Ensure specifications, code, and outputs remain consistent and aligned. Requirements Professional fluency in written English and strong communication skills. 3 to 7 years of hands-on experience in software engineering. Advanced knowledge of Python and JavaScript or TypeScript, plus working familiarity with Java, C#, or Go. Experience in backend or full-stack development in production environments. Proficiency with testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing tools. Ability to debug and work within large, multi-file codebases. Comfort with code reviews, refactoring, and production migrations. Engagement details Part-time, project-based consulting Remote work Location: Germany Expected outcomes Deliver high-quality, production-ready outputs for AI training and evaluation.

Join Anyone AI as a talented Full-Stack Developer and collaborate on groundbreaking projects with a premier AI laboratory.Qualifications:Fluent in professional written English3 to 7 years of hands-on experience in software engineeringExpertise in Python and JavaScript/TypeScript, with familiarity in Java, C#, or GoExperience in backend or full-stack development within production environmentsFamiliarity with testing frameworks such as pytest, Jest, JUnit, xUnit, and Go testingProven track record of debugging and navigating extensive codebasesExperience in code reviews, refactoring, and production migrationsEngagement: This is a part-time, project-based consultancy role.Work Type: RemoteAs a contributor, you will design and evaluate authentic software engineering tasks, focusing on bug fixing, feature development, refactoring, and test generation. Your role involves crafting intricate coding scenarios and assessing peer submissions for quality and precision.Responsibilities:Create and implement multi-file coding tasks for bug fixes, feature enhancements, refactoring, and testingProduce clear, natural-language specifications and reference implementationsExpand and maintain unit and integration test suitesReview tasks generated by peers for correctness, clarity, and realismIdentify edge cases, ambiguities, and potential failure scenariosEnsure that specifications, code, and expected outputs are alignedExpected Outcomes:Deliver high-quality, production-ready coding tasks

Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in bridging the gap between skilled professionals and project-based opportunities in artificial intelligence for top technology firms. Our focus is on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not permanent employment.What You Will DoEach project offers distinct challenges, and contributors may:Design innovative computational engineering scenarios that replicate actual engineering workflows;Create challenges that necessitate Python programming to address engineering calculations and simulations;Ensure that tasks are computationally demanding, requiring numerical techniques or iterative methods;Develop problems centered around system design, optimization, and analysis;Base challenges on realistic research dilemmas or practical engineering applications;Validate solutions using Python along with standardized engineering libraries;Thoroughly document problem statements and provide verified correct solutions.What We SeekThis role is ideal for engineers with Python experience interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Electrical Engineering or a related discipline;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, whether applied, research, or teaching;An understanding of practical engineering limitations and approximations;Strong command of written English (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How It WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time ExpectationsThe estimated commitment for this project is around 10–20 hours per week during active phases, based on project demands. This is an estimate, not a guaranteed workload, and only applies while the project is in progress.CompensationContributors can earn up to $50 per hour, depending on their expertise and contribution pace. Compensation variations exist across projects based on their scope, complexity, and needed skills. Note that other projects on our platform may present different earning opportunities based on specific requirements.

Mindrift partners with the Tendem project to combine AI technology and human expertise for building and optimizing automation workflows. This freelance role focuses on advancing automation by designing, refining, and supporting processes that reduce repetitive manual tasks. Role overview This is a remote, part-time freelance position based in Stuttgart, Baden-Württemberg, Germany. Mindrift calls this role an AI Pilot. The main focus is on developing and improving automation processes that increase efficiency, scalability, and reliability. Collaboration with Tendem Agents is central to the work, ensuring smooth integration between AI and human-driven systems. Key responsibilities Develop and refine automation workflows using Make.com and n8n Customize solutions with JavaScript to address project needs Work alongside human agents to identify and automate repetitive processes Support integration of AI and human-driven systems for seamless operations Requirements Experience with low-code automation platforms such as Make.com and n8n Strong JavaScript skills for workflow customization Background in workflow architecture and automation best practices Comfort working in a collaborative environment that blends AI and human input Position details Part-time, freelance contract Remote work based in Stuttgart, Baden-Württemberg, Germany

Toloka AI is looking for a freelance AI Trainer who combines civil engineering expertise with strong Python programming skills. This role is remote, with a focus on projects based in Stuttgart, Baden-Württemberg, Germany. Role overview This position centers on using civil engineering knowledge alongside Python to help shape AI systems. The work involves both technical input and collaboration with others on the team. What you will do Use civil engineering experience and Python programming to contribute to AI system development Work with colleagues to enhance and fine-tune artificial intelligence projects Offer training and technical support for ongoing AI efforts Location This is a remote freelance role, connected to Stuttgart, Baden-Württemberg, Germany.

Role Overview anyone-ai is seeking a Backend Developer focused on AI training. This position centers on building and maintaining backend systems that power advanced AI technologies. The work supports the development and refinement of machine learning models. What You Will Do Develop backend systems that enable AI research and model training Work closely with the AI research team to improve machine learning models Help enhance and maintain training datasets for quality and reliability Location This role is based in Germany.

Mindrift is seeking talented Low-Code Automation Engineers proficient in platforms such as Make.com and n8n, as well as JavaScript, to contribute to the Tendem project. Your role will involve designing and implementing powerful automation workflows in a collaborative AI + human setting.As an AI Pilot at Mindrift, you will partner with Tendem Agents to manage repetitive tasks while applying your automation skills, innovative thinking, and quality assurance to ensure effective and scalable workflow execution across various systems.This freelance, part-time remote position is perfect for individuals with extensive experience in low-code automation platforms, workflow architecture, and JavaScript customization.About MindriftAt Mindrift, we connect specialists with exciting AI projects from leading technology innovators. Our goal is to harness the power of Generative AI by leveraging real-world expertise from around the world.Role OverviewAs a Low-Code Automation Engineer, you will create, develop, and improve advanced automation workflows across multiple platforms, ensuring their reliability, scalability, and effective data management within integrated systems.Key ResponsibilitiesDesign and assess intricate automation workflows across various business tools and platforms.Develop and enhance workflows utilizing low-code platforms (Make.com, n8n), APIs, webhooks, and event-driven logic.Incorporate custom JavaScript into automation tools to manage advanced logic, transformations, and exceptional cases.Facilitate data integration across platforms (e.g., Airtable, Google Sheets, Notion, CRMs, etc.).Guarantee the dependable execution of workflows by implementing robust error handling, logging, and fallback strategies.Identify and diagnose automation performance issues, minimizing failures and enhancing efficiency.Assist in automating communication and operational workflows (e.g., messaging, outreach, notifications).CompensationProject contributors can earn up to $60 per hour, based on their expertise and contribution speed. Compensation levels may vary across different projects depending on their scope, complexity, and required skills.

Join Mindrift as an AI Workflow Engineer and contribute to the Tendem project. We are developing cutting-edge intelligent automation systems powered by large language models (LLMs) in a hybrid AI + human environment.In this role, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents to streamline repetitive tasks. Your structured thinking, prompt engineering expertise, and commitment to quality control will be critical in delivering scalable, reliable AI-driven workflows.This part-time remote position is ideal for professionals with practical experience in LLM integrations, prompt design, and AI-powered automation systems.

Toloka AI seeks a Freelance English Writer and AI Trainer to join its remote team. This contract position is open to candidates based in Stuttgart, Baden-Württemberg, Germany, but all work can be completed remotely. Role overview This role centers on supporting AI projects that require strong English writing and language abilities. The work involves both content creation and helping AI systems better understand natural language. What you will do Write and edit English-language content for use in AI training Contribute to projects aimed at improving AI's language understanding Collaborate with the Toloka AI team to achieve project objectives Location Remote work is available. The position is based in Stuttgart, Baden-Württemberg, Germany, but candidates may work from anywhere.

Toloka AI seeks a Freelance Mathematics Expert for remote contract work based in Stuttgart, Baden-Württemberg, Germany. This role centers on applying advanced mathematical concepts to support ongoing AI training projects and improve algorithm performance. Key responsibilities Use mathematical methods to develop and refine AI algorithms Contribute expertise to projects focused on advancing intelligent systems Collaborate with a distributed team of AI professionals Collaboration and work environment This position offers the chance to work remotely with colleagues from varied backgrounds. Sharing mathematical expertise is central to shaping new AI technologies as part of a global team.

Toloka AI seeks a Freelance Junior Journalist to contribute to AI training projects. This position is remote, based in Stuttgart, Baden-Württemberg, Germany. The main focus is on creating and refining training data that supports the development of artificial intelligence systems. Key responsibilities Research topics in AI and technology to inform project work Write and edit content used in training data sets Curate materials that help AI systems better understand and interact with users Work collaboratively with a distributed team committed to improving AI capabilities Work environment This freelance, remote role involves working alongside colleagues from diverse backgrounds. The team shares a commitment to making AI more effective and accessible.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python programming. This remote role is based in Stuttgart, Baden-Württemberg, Germany. Role overview This position centers on using knowledge of biological sciences and Python to support the development and improvement of AI training programs. The work involves applying subject matter expertise to help shape AI solutions in the life sciences. What you will do Apply biology and programming skills to design and refine AI training materials Contribute to projects that advance AI applications in scientific fields Requirements Expertise in biology Proficiency in Python Interest in AI development

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based AI work for leading technology companies. The focus is on testing, evaluating, and improving AI systems. This role is project-based and does not offer permanent employment. Role overview The Freelance AI Trainer - Research Physicist collaborates with Mindrift to support AI development by designing and documenting advanced physics problems. Each project introduces new challenges and tasks may include: Creating original optics problems that reflect real-world research workflows Ensuring problems require computational approaches rather than only manual calculations Developing challenges in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on actual research questions or practical scenarios in optics and physics Writing clear problem statements and providing verified solutions Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related discipline Minimum 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that mirror real research processes Creative problem-solving skills across physics topics Knowledge of physics modeling and approximation methods Strong written English skills at C1 level or higher How to apply Apply Pass the qualification process Join a project Complete assigned tasks Receive compensation Time commitment Project periods typically require a commitment of 10 to 20 hours per week. Actual hours may vary depending on project needs. This estimate does not guarantee a specific workload. Compensation Earnings can reach up to $45 per hour, depending on expertise and contribution speed. Compensation varies by project based on scope, complexity, and required skills. Other projects on the Mindrift platform may offer different rates depending on requirements. Location: Remote , Stuttgart, Baden-Württemberg, Germany

We kindly request that you submit your CV in English and specify your English proficiency level.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities at leading tech companies, with a focus on testing, assessing, and enhancing AI systems. This is a project-based role, not a permanent position.Opportunity OverviewEach project comes with its own set of unique tasks. Contributors may be responsible for:Creating original optics problems that accurately reflect real-world physics research workflows;Ensuring that these problems are computationally intensive and cannot be resolved manually within a practical timeframe (days/weeks);Designing problems that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Rooting problems in actual research challenges or practical applications from the fields of optics and physics;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is well-suited for optical engineers who are open to part-time, non-permanent project work. We are looking for candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;A minimum of 2 years of relevant experience in applied research or education;Familiarity with numerical simulation techniques;The capability to design problems that mirror genuine physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation methodologies;Strong written English skills (C1 level or higher).Workflow ProcessSteps include: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentFor this project, tasks are estimated to require approximately 10 to 20 hours per week during active phases, depending on project demands. This is an estimate, not a guaranteed workload, and applies only while the project is ongoing.CompensationContributors can earn up to $45 per hour, based on their contribution level and pace. Compensation may vary across projects depending on their scope, complexity, and required expertise. Please note that other projects on our platform may offer different earning potentials based on their specific requirements.

Role Overview machinelearningreply is looking for an Agentic AI Software Engineer to join the team in Munich, Bayern. This role centers on building intelligent, production-ready systems using large language models (LLMs), autonomous agents, and scalable cloud infrastructure. The position involves close collaboration with clients to deliver practical AI solutions, with a focus on agentic and generative AI applications. Main Responsibilities Design, develop, and deploy scalable systems on cloud platforms such as AWS, GCP, or Azure. Build and manage agentic AI systems, emphasizing multi-step workflows, tool integration, and autonomous decision-making. Lead the implementation of AI-driven features from proof of concept through to production deployment. Create high-performance APIs and backend services for AI applications using frameworks like FastAPI, Flask, or Spring Boot. Integrate generative AI technologies, including LLMs, vector databases, RAG pipelines, and orchestration frameworks (such as LangChain or LangGraph), into enterprise environments. Design and maintain orchestration and retrieval pipelines to support scalable AI applications. Set up and manage MLOps and LLMOps pipelines, along with CI/CD workflows for integration, evaluation, and deployment. Ensure software quality through thorough testing, monitoring, observability, and performance tuning. Work closely with clients and cross-functional teams to gather requirements and deliver effective AI solutions. What machinelearningreply Offers Opportunities to contribute to innovative AI and software engineering projects across sectors such as Banking, Insurance, Automotive, and Retail. Growth in areas like MLOps, cloud architecture, data engineering, and generative AI. Collaboration with leading technology partners in cloud computing, AI, and automation. Access to training, certifications, and interdisciplinary project work.

Join our innovative team as an Agentic AI Software Engineer. We are seeking a talented and driven individual who possesses a strong foundation in software engineering, complemented by practical experience with cutting-edge AI technologies. Your role will involve partnering with clients to design and implement sophisticated, production-ready systems that utilize LLMs, autonomous agents, and scalable cloud infrastructure.Key Responsibilities:Architect, develop, and deploy scalable, production-grade applications on leading cloud platforms such as AWS, GCP, or Azure.Create and manage agentic AI frameworks, incorporating multi-step workflows, tool integrations, and autonomous decision-making capabilities.Oversee the complete lifecycle of AI feature implementation, from proof of concept to full-scale deployment.Develop high-performance APIs and backend services for AI applications using technologies like FastAPI, Flask, or Spring Boot.Integrate generative AI solutions, including LLMs, vector databases, and RAG pipelines, into enterprise environments.Design and implement robust orchestration and retrieval mechanisms for scalable AI applications.Establish and maintain MLOps/LLMOps pipelines and CI/CD workflows for seamless integration, evaluation, and deployment.Ensure software quality through rigorous testing, monitoring, observability, and performance tuning.Collaborate effectively with clients and cross-functional teams to gather requirements and deliver impactful AI solutions.

Please submit your CV in English and specify your English proficiency level. Mindrift, in partnership with toloka-ai, offers project-based freelance work for experienced data scientists. This role centers on testing, evaluating, and enhancing AI systems for leading technology companies. All assignments are project-based, not permanent employment. Key Responsibilities Design original data science challenges that reflect analytical work from sectors like telecom, finance, government, e-commerce, and healthcare. Create tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Develop problems that require significant computational effort, making manual solutions impractical. Formulate scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Ensure each challenge is deterministic and reproducible, using fixed random seeds when needed. Base tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Build end-to-end challenges covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include scenarios that require scalable computational methods for large datasets. Validate solutions in Python using standard data science libraries and statistical techniques. Write clear documentation for each problem, providing business context and verified solutions. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of completed projects or publications showing real-world problem-solving. Advanced Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Expertise in statistical analysis and machine learning, with strong knowledge of algorithms and methodologies. Proficient SQL skills for data analysis and manipulation. Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Strong written English skills at C1 level or higher. How to Get Started Apply Complete qualification(s) Join a project Finish assigned tasks Receive compensation Location: Remote , Stuttgart, Baden-Württemberg, Germany

We invite you to submit your CV in English, detailing your English proficiency level.Mindrift is a dynamic platform that connects skilled professionals with project-based AI opportunities at top tech companies, emphasizing the assessment, evaluation, and enhancement of AI systems. Please note that this role is project-based and does not offer permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be required to:Devise innovative computational physics problems that replicate real-world physics research workflows;Generate problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensure that problems are computationally demanding and cannot be resolved manually within practical timeframes (days/weeks);Create problems involving substantial reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on authentic research challenges or practical scenarios from the field of physics;Validate solutions via Python using standard physics simulation libraries;Clearly document problem statements and provide verified solutions.Preferred QualificationsThis opportunity is ideal for individuals with a background in physics and Python programming, who are interested in part-time, non-permanent projects. The ideal candidate should possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;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 relevant professional experience: applicable experience includes applied research or teaching;Expertise in numerical simulation techniques;The ability to craft problems that reflect real physics research workflows;Creative problem-solving skills across various domains of physics;Strong written English skills (C1+).How to Get StartedInterested candidates should apply, pass the qualifications, join a project, complete the tasks, and receive payment.Project CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, subject to project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.CompensationContributors can earn up to $45 per hour, depending on their experience and contribution pace. Please note that compensation may vary across projects based on scope, complexity, and required expertise.