Role overview Toloka AI seeks a Freelance Machine Learning Engineer to contribute to remote projects connected to Stuttgart, Baden-Württemberg, Germany. The position centers on building and enhancing machine learning models used in advanced AI applications. What you will do Develop and improve machine learning models for various AI projects Apply technical knowledge to help design and implement new AI applications Location This contract position is fully remote. Candidates should be based in or near Stuttgart, Baden-Württemberg, Germany.

Toloka AI seeks a Freelance Machine Learning Developer to work remotely from Stuttgart, Baden-Württemberg, Germany. This position centers on building and deploying machine learning models that directly support Toloka AI's products. Key responsibilities Create machine learning models tailored to real product requirements Implement technical solutions that drive ongoing improvements Work closely with colleagues to strengthen the company's AI capabilities Location This is a remote role based in Stuttgart, Baden-Württemberg, Germany.

We invite you to submit your CV in English and indicate your proficiency level in English.At Mindrift, we facilitate connections between specialists and project-based AI opportunities for prominent tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Note: Participation is project-based and does not entail permanent employment.Opportunity OverviewEach project encompasses unique tasks, and contributors may be involved in the following activities:Crafting original computational statistics problems that emulate authentic mathematical research workflows;Formulating problems that necessitate Python programming solutions (utilizing libraries such as Numpy, SciPy, Sympy);Designing computationally intensive problems that cannot be resolved manually within reasonable timeframes (days/weeks);Creating problems that require intricate reasoning chains in fields like number theory, combinatorics, graph theory, and numerical analysis;Basing problems on genuine research challenges or practical applications in mathematics;Validating solutions using Python and standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We SeekThis role is ideally suited for statistics specialists with Python experience, seeking part-time, non-permanent projects. Preferred qualifications include:A degree in Statistics or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching experience;Strong written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this project, tasks are expected to require approximately 10–20 hours per week during active phases, varying based on project requirements. This estimate is not a guaranteed workload and only applies while the project is active.Compensation DetailsContributors can earn up to $50 per hour equivalent, based on their level of expertise and contribution pace. Compensation may vary across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their specific requirements.

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.

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.

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.

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.

About UsHelsing is a cutting-edge AI company dedicated to advancing defense technologies. Our mission is to safeguard democratic values and ensure that societies can make autonomous decisions while upholding ethical standards. We are committed to responsible technology development and deployment, particularly in the realm of AI.Our team comprises driven engineers, AI experts, and client-facing program managers united by a common purpose: tackling the most challenging and significant problems. We foster a culture of transparency and encourage open discussions surrounding the ethical implications of technology in defense.The PositionAs an AI Research Engineer at Helsing, you will be at the forefront of innovating autonomous decision-making systems for defense. Your work will encompass a wide range of AI applications, including extensive data processing, reinforcement learning agent training, and the development of large-scale foundational models. Collaborating within a diverse team, your responsibilities will include architecting and implementing robust tools and platforms that drive these advancements. You will focus on abstracting complex distributed systems to enhance training efficiency and developer productivity. We seek engineers who can effectively blend machine learning with systems engineering to create scalable solutions.Key Responsibilities:Enhance our integrated deep learning frameworks, built on PyTorch, to make them efficient and user-friendly across various applications.Expand our infrastructure and tooling to facilitate faster and larger-scale distributed training.Devise data strategies to manage extensive datasets effectively.

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

Please submit your resume in English, along with an indication of your English proficiency level.At Mindrift, we facilitate connections between specialists and project-based opportunities in AI for top technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. This is a project-based role rather than permanent employment.Role OverviewAs a Freelance AI Trainer and Writer, your contributions will be pivotal in training AI models, influencing their ability to comprehend and generate human-like text. This role transcends traditional writing; you will create content that educates AI in reasoning, logic, nuance, and clarity.Your responsibilities will vary by project but may include: Producing original, clear, and fact-checked content adhering to project guidelines.Maintaining style and quality standards to ensure uniformity across outputs.Collaborating with Quality Assurance Specialists to enhance and refine the written content.Ideal Candidate ProfileThis position is ideal for those seeking part-time, non-permanent projects. We are looking for candidates who possess: A Bachelor's degree in any field;A minimum of 1 year of relevant professional or educational experience;Exceptional written English skills (C1/C2 level);A reliable internet connection.Application ProcessApply → Complete qualifications → Join a project → Execute tasks → Receive paymentProject CommitmentFor this role, tasks are estimated to require approximately 10–20 hours per week during active phases, based on specific project needs. Please note, this is an estimate and not a guaranteed workload.CompensationParticipants can earn up to $30 per hour, contingent upon their contribution level and efficiency. Compensation may vary across projects based on scope, complexity, and required expertise. Be aware that other projects on the platform might offer different pay scales based on their specific requirements.

We invite you to submit your resume in English, including your level of English proficiency.Mindrift connects talented professionals with exciting project-based AI opportunities for leading technology firms, with a focus on testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not entail permanent employment.Your Role as an AI Trainer - Junior JournalistIn this capacity, you will play a pivotal role in training AI models, influencing how they comprehend and generate human-like text. This position transcends traditional writing; you will be composing content that instructs AI on reasoning, accuracy, nuance, and clarity.Each project presents unique challenges, and contributors may be tasked with:Creating original, clear, and fact-checked responses in line with project guidelines.Designing prompts that effectively challenge AI capabilities.Establishing detailed scoring criteria to assess the precision of AI responses.Adhering to style and quality standards to maintain consistency.Ideal Candidate ProfileThis role is suited for those looking for flexible, part-time, non-permanent projects. We prefer candidates who possess:A Bachelor’s degree in Journalism, Communications, Linguistics, Literature, or Education to ensure a solid grasp of grammar and stylistic elements.A minimum of 1 year of professional experience in Journalism, Communications, PR, or a related field, demonstrating strong critical thinking and English language text handling skills.Proficient written English skills (C1/C2).A reliable internet connection.How to Get StartedApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active phases, based on specific project demands. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $30 per hour, depending on their contribution level and pace. Compensation may vary across different projects based on their scope, complexity, and required expertise. Please note that other projects on the platform may offer varying earning levels based on their specific requirements.

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities at leading tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.What You Will Do:While each project features distinct tasks, contributors may be responsible for:Creating original optics problems that emulate authentic physics research workflows;Ensuring that problems are computationally demanding and cannot be solved manually within practical timeframes (days/weeks);Developing challenges that involve complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on actual research challenges or practical applications in optics and physics;Clearly documenting problem statements and providing verified correct solutions.Who We Are Looking For:This opportunity is ideal for physicists open to part-time, non-permanent projects. Candidates should ideally possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;At least 2 years of professional experience, including applied, research, or teaching backgrounds;Familiarity with numerical simulation methods;The ability to design problems that reflect real physics research workflows;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation techniques;Strong English proficiency (C1+).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time Expectations:For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate, not a guaranteed workload, and only applies while the project is active.Compensation:In this project, contributors can earn up to $45 per hour, depending on their level and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their specific requirements.

Cresta is revolutionizing the way customer conversations are transformed into a competitive edge by harnessing the full potential of the contact center. Our innovative platform merges cutting-edge AI with human intelligence, allowing contact centers to uncover valuable customer insights, streamline conversations, and empower team members to work more efficiently. With roots in the elite Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the visionary behind Google X, Waymo, and Udacity. Our leadership team also includes CEO Ping Wu, co-founder of Google Contact Center AI, and co-founder Tim Shi, an early member of OpenAI. Embark on an exciting journey with us as we redefine the future of work through AI. The future of work is now, and it starts at Cresta.About the Role:At Cresta, we are committed to crafting advanced Machine Learning systems designed to facilitate real-time, intelligent interactions with customers. Our team develops models and platforms capable of processing vast amounts of multimodal data—particularly focusing on speech and text—to derive insights, enhance quality, and provide actionable intelligence at scale. This role emphasizes advancing model evaluation, measurement, and quality improvements, particularly in Automatic Speech Recognition (ASR) and subsequent NLP systems. You will be responsible for designing comprehensive evaluation frameworks, defining quality metrics, and driving systematic enhancements to model accuracy, robustness, and reliability.

Please submit your CV in English and indicate your level of English proficiency. toloka-ai, through Mindrift, offers project-based roles for specialists interested in AI system development and evaluation. This freelance position focuses on mathematics and Python, and is not a permanent role. Role overview As a Mathematics & Python Specialist - Freelance AI Trainer, each project centers on developing and validating computational mathematics problems. Tasks vary by project and may include: Designing original computational mathematics problems that reflect real research workflows Creating problems requiring Python programming solutions, often using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive, taking days or weeks to solve manually Formulating challenges involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real research scenarios or practical mathematical applications Verifying solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing validated answers Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, specialized libraries, Stata, or other programming languages is also valued At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to create problems simulating real mathematical research workflows Familiarity with computational complexity theory Strong written English skills (C1+ level) Project workflow The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation. Time commitment Projects may require around 10–20 hours of work per week during active phases. Actual workload depends on project needs and is not guaranteed. Compensation Contributors can earn up to $45 per hour, depending on experience and pace. Compensation varies by project scope, complexity, and expertise required. Other projects on the platform may offer different rates based on their specific requirements.

Are you ready to redefine the potential of frontier AI models? Join Flower Labs as a founding member of the Flower Frontier Model Team, a pioneering group dedicated to creating groundbreaking models that integrate cutting-edge techniques with Flower’s innovative decentralized learning methods. This position offers a unique opportunity to explore a transformative approach that not only facilitates GPU scaling but also accesses new data silos previously untapped for frontier model training.Our mission is to develop models with superhuman capabilities across various domains, including science, health, finance, and drug discovery. This is your chance to contribute to the foundational training paradigms that will shape the next decade of AI, working on technologies that will be widely studied and emulated.About the RoleWe welcome all passionate individuals, especially those with post-training expertise, to apply.As a founding Machine Learning Engineer, you will be vital in constructing state-of-the-art large language models (LLMs) and foundation models within a compact, high-impact team of both research and engineering professionals. This role merges rapid development with disciplined software engineering, enabling you to create a reliable, maintainable, and scalable software stack that produces industry-leading open-source models and integrates them into new Flower Lab products.Your responsibilities will encompass the design, implementation, and optimization of essential components throughout all stages of frontier model development: from data curation and evaluations to pre-training and post-training. While experience in these areas is advantageous, a strong aptitude for problem-solving and collaborative learning is crucial for success. Familiarity with ML distributed and scaling strategies, as well as experience with GPU clusters for multi-node training, will be essential. You will address GPU and kernel issues, resolve memory and storage bottlenecks, and tackle multi-node failures, collaborating on debugging training instabilities and related challenges.

Please submit your CV in English and indicate your English proficiency level. Mindrift offers freelance, project-based work connecting specialists with AI projects for leading technology companies. Most assignments focus on testing, evaluating, and improving AI systems. These roles are not permanent positions but provide flexible, remote opportunities for professionals seeking part-time engagement. Role overview This freelance AI Trainer position centers on materials science and Python programming. Contributors join projects that bring a range of technical challenges, often requiring a blend of engineering knowledge and computational problem-solving skills. Design original materials engineering problems that mirror real-world workflows Create Python programming challenges for engineering calculations and simulations Develop problems that require computational effort, such as numerical methods or iterative solutions Build scenarios in system design, optimization, and analysis Base challenges on real research or practical engineering applications Validate solutions in Python using standard engineering libraries Document problems clearly and supply verified, correct answers Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with tools like MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata is a plus Minimum two years of professional experience (applied, research, or teaching) Solid understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Project workflow Application Qualification pass Project engagement Task completion Compensation Time commitment Active project phases typically require 10–20 hours per week. Actual workload varies based on project needs. Compensation Earnings can reach up to $45 per hour, depending on contribution and pace. Rates differ by project and reflect scope, complexity, and required expertise. Other Mindrift projects may offer different compensation structures. Location This is a remote contract role. Applicants based in Stuttgart, Baden-Württemberg, Germany are encouraged to apply, though the position is open to candidates in other locations as well.