DevOps Engineer - Automation Systems (Freelance AI Trainer)

Role Overview airapps is hiring an AI/ML Engineer based in the Rome Metropolitan Area. This role focuses on building and deploying machine learning models to improve our applications. The engineer will work closely with colleagues from different teams, sharing insights and refining algorithms to support product growth. What You Will Do Develop and implement …

Mindrift brings together specialists and AI projects from leading technology companies, with a focus on practical applications of Generative AI. The team values real-world expertise and works globally to advance AI-driven solutions. Role overview This is a part-time, remote freelance role supporting the Tendem project (https://tendem.ai/). As an AI Workflow Engineer (also referred to as an AI Pilot), the work centers on developing automation systems that blend Large Language Models (LLMs) with human input. The main objective is to build scalable and dependable AI-powered workflows for content creation, communication, and automation tasks. What you will do Design and evaluate workflows that utilize LLM APIs, including OpenAI, Claude, Gemini, and others. Develop and enhance AI automation systems for generating content and managing communications. Create prompt frameworks to ensure consistent, high-quality results across workflows. Set up personalized automated outreach systems, such as email and messaging flows. Organize and preprocess data to support stable model performance and reliable outputs. Analyze and refine AI-driven pipelines to improve scalability, efficiency, and accuracy. Who succeeds in this role Candidates with direct experience in LLM integrations, prompt engineering, and building AI automation systems tend to do well. Structured thinking and attention to quality control are important, especially in an environment where AI and human collaboration are key. Location This freelance position is remote, based in Rome, Metropolitan City of Rome Capital, Italy.

Please submit your CV in English and indicate your English proficiency level. Mindrift offers project-based AI work for specialists, connecting professionals with assignments that focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. Role overview This freelance Optical Engineer - AI Trainer position centers on designing and documenting complex optics problems for AI training. Work is remote and open to candidates based in Rome or elsewhere in Italy. Each project may differ in scope and requirements. Main responsibilities Develop original optics problems that reflect real-world physics research workflows Create computationally intensive challenges that cannot be solved by hand in a short period Design problems requiring advanced reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics Base each challenge on real research questions or practical applications in optics and physics Document all problems clearly and provide accurate, verified solutions Requirements Background as an optical engineer interested in part-time, project-based work Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum 2 years of experience in applied, research, or teaching roles Experience with numerical simulation methods Ability to design problems that mirror authentic research workflows Creative problem-solving skills across multiple physics domains Familiarity with physics modeling and approximation techniques Strong written English skills at C1 level or higher Application process Apply with a CV and details on English proficiency Complete qualification steps Join a project Work on assigned tasks Receive compensation Project commitment Expect to dedicate 10–20 hours per week during active project phases. Actual hours may change depending on project needs. Compensation Rates can reach up to $29 per hour, depending on expertise and speed. Actual pay may vary by project scope, complexity, and required skills. Other Mindrift projects may offer different compensation based on their requirements.

We kindly ask you to submit your CV in English, along with your English proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities at top technology firms, focusing on testing, evaluating, and enhancing AI systems. Please note this is a project-based role and not a permanent position.Role OverviewEach project features distinct tasks, where contributors may be expected to:Design original computational engineering challenges that effectively mimic real-world engineering workflows;Create programming tasks utilizing Python to solve engineering calculations and simulations;Ensure that the challenges are computationally demanding, requiring numerical methods or iterative solutions;Develop problems encompassing system design, optimization, and thorough analysis;Base problems on authentic research challenges or practical applications within the engineering field;Validate solutions using Python, employing standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis role is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;At least 2 years of professional experience, which can include applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewTo participate, candidates must apply, pass qualifications, join a project, complete assigned tasks, and receive payment.Project CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a fixed workload.CompensationContributors can earn up to $31 per hour, contingent on their expertise and contribution pace. Compensation across projects may vary based on scope, complexity, and required expertise. Note that other opportunities on the platform may present different compensation levels.

We invite you to submit your CV in English along with your proficiency level in the language.At Mindrift, we bridge the gap between skilled professionals and project-based AI opportunities for prominent tech firms, with a focus on testing, evaluating, and enhancing AI systems. This role is project-based, not a permanent position.Opportunity OverviewEach project presents unique tasks, and contributors may be involved in:Creating original optics problems that reflect authentic physics research workflows;Ensuring challenges are computationally demanding, with solutions that cannot be derived manually within a reasonable timeframe (days to weeks);Formulating problems that necessitate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical applications within optics and physics;Clearly documenting problem statements and providing verified, accurate solutions.Candidate ProfileThis opportunity is ideal for optical engineers interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;A minimum of 2 years of professional experience, including applied, research, or teaching backgrounds;Proficiency in numerical simulation methods;A knack for designing problems that replicate real physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+).Process OverviewApply → Qualify → Join a project → Execute tasks → Receive paymentProject CommitmentTasks are estimated to require approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimate and not a guaranteed workload during the project's active period.CompensationContributors can earn up to $29 per hour, based on their level of expertise and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required skills. Please note that other projects may offer different earning structures based on their specific needs.

toloka-ai seeks a Freelance AI Trainer who combines civil engineering experience with solid Python programming skills. This contract position centers on training AI systems, drawing from practical engineering knowledge and coding expertise. Role overview This role involves using civil engineering concepts and Python to help develop and refine AI models. The work calls for both technical understanding of engineering principles and the ability to implement solutions in code. Location Remote work is available, but candidates should be based in Rome, Metropolitan City of Rome Capital, Italy.

We invite you to submit your CV in English, and please specify your English proficiency level.At Mindrift, we bridge the gap between talented specialists and project-based opportunities in the AI sector for leading technology companies. Our focus is on evaluating, testing, and enhancing AI systems. Please note that this engagement is project-based and not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in:Crafting innovative computational engineering tasks that replicate real-world engineering processes;Developing problems that necessitate Python programming for engineering calculations and simulations;Designing computationally intensive tasks requiring numerical methods or iterative solutions;Creating problems centered around system design, optimization, and analytical evaluations;Formulating challenges based on real research problems or practical engineering applications;Validating solutions using Python and standard engineering libraries;Providing clear documentation for problem statements along with verified correct answers.Candidate ProfileThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. We are particularly interested in candidates who possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming tools being a plus;At least 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Project WorkflowApply → Successfully complete qualification(s) → Engage in a project → Fulfill assigned tasks → Receive compensationExpected CommitmentThe estimated workload for this project is approximately 10–20 hours per week during active phases, contingent on project requirements. This is an estimate and not a guaranteed number of hours.CompensationContributors can earn up to $31 per hour, depending on their experience and the pace of their contributions. Compensation may vary across different projects based on their complexity and required expertise.

Mindrift is hiring a Freelance Low-Code Automation Engineer to contribute to the Tendem project. This is a part-time, remote contract role based in Rome, Metropolitan City of Rome Capital, Italy. The position centers on building and improving automation workflows that blend AI and human input. Key responsibilities Create and enhance automation workflows for use in a hybrid AI-human environment Work closely with Tendem Agents to manage repetitive tasks and improve process efficiency Apply structured problem-solving and quality control to keep workflows reliable and scalable across different systems Utilize low-code automation platforms and JavaScript to tailor and optimize solutions Requirements Proven experience with low-code automation tools Strong skills in workflow architecture and process optimization Comfort with customizing automation using JavaScript Interest in flexible, remote freelance work The role involves working with the Tendem project team and using both technical and collaborative skills to streamline operations. For more about the project, visit https://tendem.ai/.

Mindrift is on the lookout for talented Low-Code Automation Engineers with expertise in Make.com, n8n, and JavaScript to join the innovative Tendem project. In this dynamic role, known as an AI Pilot at Mindrift, you will design and implement advanced automation workflows, creating a seamless integration of human intelligence and AI capabilities.Your primary responsibility will involve collaborating with Tendem Agents who manage repetitive tasks while you lend your automation expertise, analytical skills, and quality assurance to ensure consistent and scalable execution across diverse systems.This part-time remote position is perfectly suited for professionals experienced in low-code automation platforms, workflow design, and JavaScript enhancements.

Join our dynamic team at Entain as an AI Process Engineer where you will play a pivotal role in developing and optimizing AI-driven processes. You will leverage your expertise to enhance operational efficiencies and contribute to innovative solutions that propel our business forward. This is an exciting opportunity for professionals passionate about AI and its application in real-world scenarios.

Mindrift is looking for a freelance DevOps Engineer to support automation systems for the Tendem project. This part-time role is remote, with a location base in Rome, Metropolitan City of Rome Capital, Italy. The project brings together AI and human workflows, requiring thoughtful infrastructure and reliable automation. Key Responsibilities Design and maintain scalable infrastructure that supports automation workflows in a hybrid AI and human environment. Collaborate with Tendem Agents to streamline and improve repetitive processes. Manage infrastructure with a focus on high reliability and strong performance. Help ensure the stability and growth of automation pipelines as the project expands. Who Succeeds in This Role Engineers with hands-on experience in cloud infrastructure and system deployment. Those who have managed high-load automation environments. People comfortable working remotely and contributing to AI-driven projects. Learn more about the project at https://tendem.ai/.

We are seeking a talented Freelance Agent Evaluation Engineer to join our innovative team at Toloka AI. In this role, you will be responsible for evaluating and improving the quality of our agents, ensuring they meet our high standards for performance and reliability. This is an exciting opportunity to contribute to the development of our cutting-edge AI solutions.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and enhancing AI systems. This is a project-based opportunity and does not offer permanent employment.Opportunity Overview:While each project presents unique challenges, contributors may be tasked with:Creating innovative material engineering problems that replicate real-world engineering workflows;Formulating problems that necessitate Python programming to execute engineering calculations and simulations;Ensuring problems are computationally intensive and require the application of numerical methods or iterative solutions;Designing problems focused on system design, optimization, and analysis;Grounding problems in real research challenges or practical applications from the field of engineering;Validating solutions using Python and established engineering libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We Seek:This role is ideal for material scientists and engineers with Python experience who are open to non-permanent, part-time project work. Ideally, candidates should possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming languages will also be considered;At least 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and methodologies;Exceptional written communication skills in English (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time Commitment:During active phases, tasks are expected to require approximately 10–20 hours per week, contingent on project demands. Please note this is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $29 per hour, depending on their contribution level and pace. Compensation may vary across different projects based on scope, complexity, and required expertise.

Role overview Toloka AI seeks a Freelance Mathematics Expert - AI Trainer for a remote position based in Rome, Metropolitan City of Rome Capital, Italy. This role centers on developing and delivering training programs aimed at improving AI performance in mathematical contexts. Main responsibilities Apply mathematical expertise to guide the creation of AI training content and instructional methods. Design and deliver training programs that enhance AI's mathematical abilities. Assist in building tools and resources that use AI to support mathematics education. About Toloka AI Toloka AI creates artificial intelligence solutions for education and other fields, focusing on technology that addresses practical learning needs.

Toloka AI is hiring a Freelance English Writer and AI Trainer based in Rome, Metropolitan City of Rome Capital, Italy. This remote contract role centers on producing and refining English-language content to support the training and advancement of AI systems. Role overview This position involves writing clear and engaging content for different audiences. Collaboration with AI specialists is a key part of the job, as is providing feedback to help improve artificial intelligence models. The work directly supports the development of new AI technologies. What you will do Create well-written English content tailored to varied readers Work alongside AI experts to train and assess AI models Offer thoughtful feedback that guides technology improvements Requirements Strong command of English writing Ability to explain ideas clearly and informatively Interest in collaborating with AI professionals and supporting technology growth This freelance position provides an opportunity to contribute to the progress of artificial intelligence as part of a team focused on innovation.

Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join its remote team based in Rome, Metropolitan City of Rome Capital, Italy. This position blends journalistic skills with practical involvement in artificial intelligence training projects. Key responsibilities Develop and refine training data to support AI initiatives Contribute journalistic writing that offers insights and perspectives for AI training tasks Location This is a remote role, open to candidates located in Rome and the surrounding metropolitan area.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects professionals with project-based AI work for leading technology firms, focusing on testing, evaluating, and improving AI systems. This Mathematics & Python Specialist - Freelance AI Educator position is project-based and not a permanent role. What you will do Design original computational mathematics problems that reflect real research workflows Create problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy Ensure problems are computationally intensive and cannot be solved manually within a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base problems on genuine research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide verified solutions 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, or similar libraries is also acceptable At least 2 years of professional experience in applied, research, or teaching settings Background in numerical methods and symbolic computation Ability to design problems that mirror authentic mathematical research workflows Familiarity with computational complexity theory Strong written English skills (C1 or higher) Project details Project tasks typically require about 10–20 hours per week during active phases. Actual workload depends on project needs and is not guaranteed outside of active periods. Compensation Contributors can earn up to $29 per hour, depending on experience and the pace of contribution. Rates vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different earning potential depending on their requirements. Application process Submit your application Pass qualification(s) Engage in a project Complete assigned tasks Receive compensation

We invite you to submit your CV in English, including your proficiency level in the English language.Mindrift is dedicated to seamlessly connecting talented specialists with dynamic, project-based AI opportunities at premier technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be tasked with:Designing innovative computational physics problems that replicate authentic research workflows in physics;Creating programming challenges that necessitate Python solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that the problems are computationally demanding, requiring extensive timeframes for manual resolution;Developing problems that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding the problems in real-world research challenges or practical applications from the realm of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified, accurate answers.Candidate ProfileThis role is ideal for optical engineers proficient in Python who are open to part-time, non-permanent project engagements. Preferred qualifications include:A 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, SciPy, or domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;Expertise in numerical simulation methods;A capability to design problems that reflect real physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Project WorkflowThe process is straightforward: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Project Time ExpectationsFor this project, contributors can expect to invest approximately 10–20 hours per week during active phases, depending on project requirements. Please note that this is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationCompensation for this project can reach up to $29 per hour, contingent on the contributor's expertise and contribution pace. Please be aware that compensation may vary across different projects based on their specific scope, complexity, and required expertise.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based AI work for technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a project-based role, not a permanent position. Role overview This freelance AI Trainer (Research Physicist) role centers on designing and documenting advanced physics problems for AI training. Assignments vary but often involve: Creating original optics problems that reflect real-world research workflows Ensuring problems require computational effort and cannot be solved quickly by hand Developing complex problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing scenarios on actual research challenges or practical situations in optics and physics Writing clear problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Minimum of 2 years’ experience in applied research or teaching Experience with numerical simulation methods Ability to design problems that mirror real research processes Creativity in developing problems across multiple physics domains Familiarity with modeling and approximation techniques Strong written English (C1 level or above) Time commitment Plan for approximately 10–20 hours per week during active project periods. Actual workload may change depending on project needs. Compensation Earn up to $29 per hour, depending on expertise and pace. Pay rates may vary by project, based on scope, complexity, and required skills. Other projects on the platform may offer different earning potential. Application process Apply Complete qualification(s) Join a project Complete assigned tasks Receive payment