Freelance AI Workflow Engineer at toloka-ai | Remote

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 thin…

Anyone AI is seeking experienced software engineers in Germany for a part-time, project-based role supporting a leading AI research lab. This position centers on expert evaluation and allows for fully remote work within Germany. Key responsibilities Design and complete multi-file coding tasks, such as bug fixes, new features, refactoring, and testing Write detailed specifications in natural language and supply reference implementations Develop and enhance unit and integration test suites Review tasks created by peers for accuracy, clarity, and realism Identify edge cases, ambiguities, and potential failure points Verify alignment between specifications, code, and expected outcomes Requirements Exceptional written English 3–7 years of professional software engineering experience Strong skills in Python and JavaScript or TypeScript; familiarity with Java, C#, or Go is a plus Experience in backend or full-stack development for production systems Comfort with testing frameworks like pytest, Jest, JUnit, xUnit, or Go testing tools Advanced debugging abilities in large, multi-file codebases Background in code reviews, refactoring, and handling production migrations What success looks like Consistently delivers production-ready code and thorough documentation Work arrangement Part-time, project-based contract Remote within 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.

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.

We kindly request that you submit your CV in English, along with a clear indication of your English language proficiency.Mindrift connects talented specialists with project-based AI opportunities from leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewEach project presents its own unique challenges, and contributors may be expected to:Craft innovative computational engineering problems that replicate real-world engineering workflows;Develop problems that necessitate Python programming for solving engineering calculations and simulations;Ensure problems are computationally intensive and utilize numerical methods or iterative solutions;Create problems related to system design, optimization, and analysis;Base problems on genuine research challenges or practical applications within engineering;Validate solutions using Python and standard engineering libraries;Clearly document problem statements and provide verified correct answers.Desired QualificationsThis role is ideal for engineers with experience in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any comparable programming language is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;Understanding of practical engineering limitations and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How the Process WorksApply → Successfully pass qualification(s) → Engage in a project → Complete assigned tasks → Receive payment.Project Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate and does not guarantee a specific workload, applicable only while the project is ongoing.CompensationContributors may earn up to $50 per hour, contingent on their expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skill set. Note that other projects on the platform may offer different earning potentials based on their specific requirements.

Mindrift partners with technology leaders to connect specialists to AI projects worldwide. For the Tendem project (https://tendem.ai/), the focus is on building intelligent automation systems that combine Large Language Models (LLMs) with human expertise. The aim is to create scalable workflows that improve content generation, communication, and automation. Role overview This is a part-time, remote contract role as a Freelance AI Workflow Engineer (also known internally as "AI Pilot") for the Tendem project. The main focus is designing and refining LLM-powered workflows. Collaboration with Tendem Agents is central, with the goal of managing repetitive tasks and developing automation solutions. The work includes prompt engineering, workflow design, and quality control to ensure reliable results. Key responsibilities Design and evaluate workflows that use LLM APIs such as OpenAI, Claude, Gemini, or similar tools. Build and enhance AI automation systems for content generation, enrichment, and communication tasks. Develop and improve prompt frameworks to achieve consistent, high-quality outputs. Create systems for personalized automated outreach, including email and messaging flows, as well as lead enrichment. Structure and preprocess data to support stable model performance and trustworthy results. Analyze and optimize AI-driven pipelines for scalability, efficiency, and accuracy. Who this role suits This contract is well suited to those with hands-on experience in LLM integrations, prompt design, and automating AI systems. Structured thinking and a focus on quality are important. The position is remote and based in Stuttgart, Baden-Württemberg, Germany, but candidates can work from anywhere.

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

This freelance Optical Engineer role with Toloka AI (remote, based in Stuttgart, Baden-Württemberg, Germany) offers the chance to contribute expertise to project-based AI initiatives. Work is organized through Mindrift, connecting specialists with assignments that help advance AI systems for major technology clients. This is a project-based contract, not a permanent staff position. Role overview The focus is on applying optical engineering knowledge to AI projects. Assignments involve developing original problems and challenges that reflect real-world research in optics and physics. Tasks are designed to require computational rigor and advanced reasoning, rather than simple manual solutions. Key responsibilities Create optics problems modeled on authentic physics research processes Design challenges that demand advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Ensure each task emphasizes computational methods Base problems on real research questions or practical applications in optics and physics Write clear, precise problem statements and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that mirror real research workflows Creative approach to developing problems across multiple physics domains Understanding of physics modeling and approximation methods Strong written English skills (C1+ level) How to apply Submit an application Complete the required qualifications Join a project Carry out assigned tasks Receive compensation Please provide your CV in English and state your English proficiency level. Project details and time commitment Project work usually calls for 10–20 hours per week during active phases. Actual hours may shift based on project requirements. Compensation Contributors can earn up to $45 per hour, depending on experience and pace. Pay rates may vary with project complexity, scope, and skills needed. Other projects on the platform may offer different rates based on their specific needs.

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.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewAs an Optical Engineer, your contributions will vary by project, but may include: Designing original computational physics problems that simulate authentic physics research workflows;Creating challenges requiring Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally intensive, requiring days or weeks to solve manually;Developing intricate reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding challenges in real research issues or practical applications within physics;Verifying solutions using Python alongside standard physics simulation libraries;Providing clearly documented problem statements and verified correct answers.QualificationsThis role is perfect for Optical Engineers with Python expertise seeking part-time, non-permanent projects. Ideal candidates will 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 any domain-specific libraries;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Experience with numerical simulation techniques;Capability to design problems that closely reflect real physics research workflows;Innovative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessTo get started, apply → pass qualifications → join a project → complete tasks → receive payment.Project CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active project phases, subject to project demands. This is an estimate and not a guaranteed workload.CompensationContributors may earn up to $45 per hour, depending on individual levels of contribution and project needs. Please be aware that compensation may vary by project scope, complexity, and required expertise.

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.

About Our ClientFounded in Canada in 2015, our client has rapidly expanded to encompass a global portfolio of over 118 companies. They specialize in acquiring and developing vertical market software firms, empowering each business to deliver top-notch mission-critical solutions tailored to their industry's needs. A cornerstone of our client's philosophy is to invest in well-established enterprises while cultivating an entrepreneurial atmosphere that transforms these companies into industry leaders. Their strategic approach focuses on building long-term partnerships with existing management to create and enhance value.About the RoleAs the AI Engineering Lead, you will assume a pivotal leadership role in defining and executing the company's AI strategy. You will be responsible for the practical integration of AI across our client's engineering framework, enhancing internal development and testing processes to improve efficiency and quality. Additionally, you will oversee the development of AI-driven product features that provide tangible benefits to users. In this position, you will ensure alignment between engineering, product management, and data science teams, translating innovative ideas into actionable solutions and guiding teams to unlock their full potential through effective AI integration.Key Responsibilities AI Strategy & Vision: Develop a comprehensive AI roadmap that aligns with business objectives; identify opportunities for AI/ML applications in internal workflows (e.g., code generation, automated testing, monitoring); collaborate with product leadership to design and implement AI-enhanced product features. AI Integration into Engineering Practice: Spearhead the deployment of AI tools within the Software Development Life Cycle (SDLC) (e.g., GitHub Copilot, CodeWhisperer, Tabnine); automate unit testing, static code analysis, and regression testing leveraging AI; guide the application of AI in CI/CD pipelines for improved monitoring, alerting, and predictive operations. AI Product Development: Design and oversee the creation of AI/ML models and AI-enhanced product features; ensure adherence to best practices in AI/ML, including model training, data governance, validation, and ethics; select and manage the necessary infrastructure (e.g., cloud GPU/TPU, model operations platforms like MLflow or Vertex AI). Team Leadership & Cross-Function Collaboration: Lead a team of AI engineers, data scientists, and MLOps personnel; collaborate with product, design, and stakeholders to ensure AI features align with user value; mentor engineering teams on responsible AI usage, prompt engineering, and model comprehension. Governance & Compliance: Establish standards for responsible and explainable AI; ensure compliance with regulatory and ethical guidelines (e.g., GDPR, fairness, transparency); monitor model performance to prevent drift or unintended behaviors.

About UsAt Helsing, we empower machines with advanced AI capabilities that enhance human decision-making and perception. Join us to make a significant impact in a high-stakes environment, where robust AI solutions must meet hardware constraints while defending against adversarial threats.As part of our AI Assurance team, you will pioneer innovative methods for the scalable evaluation of AI products across our organization. Your role will involve designing data collection and experimentation strategies to derive causal insights, thereby promoting responsible decision-making through effective uncertainty quantification and safety protocols.Your Daily ResponsibilitiesYou will define operational domains and assess the reliability of our in-house AI capabilities. Your expertise will help advance the state-of-the-art in uncertainty quantification and calibration. This role requires a deep understanding of our AI systems, enabling you to interface effectively and evaluate their resilience in real-world and adversarial settings. You’ll collaborate on impactful projects with diverse teams, contributing to our mission.

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.

About Qualifyze: Established in 2019, Qualifyze is a pioneering firm specializing in supply chain compliance management within the Life Sciences sector. With a trusted network encompassing over 1,500 pharmaceutical and healthcare organizations worldwide, we provide a comprehensive digital suite that links manufacturers, suppliers, and a global team of more than 250 auditors and quality experts.Having successfully conducted over 4,500 audits across more than 85 countries, our extensive supplier network and advanced data analytics tools position Qualifyze as the ultimate partner for ensuring quality compliance and mitigating supply chain risks in the Life Sciences industry.Role Overview:Qualifyze is embarking on an ambitious initiative to integrate AI capabilities throughout the organization, impacting everything from internal tools to customer-facing solutions. As our AI Platform Engineer, you will play a pivotal role in this transformation, serving as a vital link between innovative AI adoption and the stringent standards our industry mandates.This role entails the ownership of the evaluation framework for AI tools and models, guiding teams in responsible integration, and ensuring that all AI initiatives adhere to our security, compliance, and cost governance standards. This impactful, cross-functional position provides visibility across Engineering, Product, Legal, and Operations.Main Responsibilities:AI Evaluation & Validation:Collaborate with the AI Team Lead to define and uphold a structured framework for evaluating AI tools, models, and vendors, focusing on capability, reliability, bias, and explainability.Lead structured proof-of-concepts (PoCs) and benchmark assessments for AI solutions under consideration.

Role overview repriskag is hiring a Senior AI Engineer based in Berlin. This position centers on designing and building advanced AI solutions aimed at solving complex problems in a range of industries. The work requires a strong technical background and a creative approach to applying AI methods. Collaboration is central to this role. The Senior AI Engineer will work closely with engineers and researchers, sharing ideas and exploring new directions in AI technology. The team values open communication and a willingness to tackle novel challenges together. What you will do Design and implement AI solutions for diverse industry problems Collaborate with engineers and researchers to develop new AI approaches Contribute to discussions on emerging AI technologies and their practical applications Location This role is based in Berlin.

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.

hawk seeks a Senior Generative AI Engineer based in Munich. This role centers on bringing new AI technologies into the company’s product line, with a focus on practical solutions for real-world challenges. Key responsibilities Collaborate with teams across hawk to design and implement generative AI features Use current AI tools and methods to enhance existing products and develop new offerings Provide technical expertise to projects aimed at solving concrete problems Role overview This position offers the chance to apply advanced AI techniques directly to product development. The work involves both improving what exists and shaping what comes next in hawk’s lineup.

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.

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.