Freelance No-Code Automation Workflow Specialist

MindriftRemote — Glasgow, Scotland, United Kingdom

Remote Part-time $60/hr - $60/hr

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Experience Level

Experience

Qualifications

Requirements:A minimum of 2-3 years of relevant experience in no-code automation, workflow design, operations, or low-code development. A Bachelor's or Master’s Degree in Information Technology, Computer Science, Engineering, Business Analytics, or related fields is advantageous. Extensive experience with no-code automation tools (Zapier, Make.com or similar), including multi-step workflows, routers, filters, and conditional logic. Demonstrated ability to design and manage complex automation systems.

About the job

Role overview

The No-Code Automation Workflow Specialist will design, implement, and maintain automated systems in a hybrid AI and human environment. Collaboration with Tendem Agents is central to the work, as they handle repetitive tasks while you focus on workflow automation and process optimization.

What you will do

Design and review no-code automation workflows for business functions such as marketing, operations, and data pipelines.
Build and refine trigger- and action-based automations using platforms like Zapier and Make.com.
Integrate AI features into automation processes, including enrichment pipelines and decision-making logic.
Maintain accurate and reliable data synchronization across various systems and SaaS applications.
Evaluate automation performance and improve workflow efficiency, scalability, and fault tolerance.
Troubleshoot issues, identify bottlenecks, and adjust automation logic to enhance stability and reliability.

Compensation

Compensation is up to $60 per hour, depending on experience and contribution speed. Project rates may vary based on complexity and required expertise.

About Mindrift

Mindrift connects talented specialists with cutting-edge AI projects from top tech innovators, striving to unlock the true potential of Generative AI by utilizing global expertise.

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Contract|$55/hr - $55/hr|Remote|Remote — Glasgow, Scotland, United Kingdom

Please submit your CV in English and specify your English proficiency level. toloka-ai, in partnership with Mindrift, offers flexible project-based work for experienced Data Scientists who want to help shape AI systems. This freelance engagement is remote, with a base in Glasgow, Scotland, United Kingdom. Contributors work alongside leading technology companies to test, evaluate, and improve AI models. Role overview This role centers on designing and documenting data science challenges that mirror real-world analytical problems from industries such as telecom, finance, government, e-commerce, and healthcare. The work involves creating computationally intensive tasks that require Python solutions, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Each challenge should be deterministic, reproducible, and grounded in practical business scenarios. What you will do Design data science problems reflecting real-world business needs, such as customer analytics, risk assessment, fraud detection, forecasting, and optimization. Create tasks involving complex data processing, statistical analysis, feature engineering, predictive modeling, and insight generation. Develop computational challenges that cannot be solved manually in a reasonable timeframe. Cover the entire data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data scenarios and scalable computational approaches. Validate solutions in Python using standard statistical techniques. Document each problem clearly, provide realistic business context, and supply verified solutions. Requirements Minimum 5 years of hands-on data science experience with demonstrable business impact. Portfolio of completed projects or publications showing real-world problem-solving. Expert Python programming skills for data science, including Pandas, Numpy, Scipy, Sklearn, and Statsmodels. Advanced knowledge of statistical analysis and machine learning algorithms. Strong SQL skills and experience with database operations. Experience with Generative AI technologies (LLMs, Retrieval-Augmented Generation, prompt engineering, vector databases). Familiarity with MLOps practices and workflows for model deployment. Knowledge of frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English at C1 level or higher. How to apply Submit your application and CV in English. Complete the required qualification steps. Join a project and carry out assigned tasks. Receive compensation upon task completion.

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