Freelance Electrical Engineer & Python Specialist - AI Training

We invite you to submit your CV in English, along with your English proficiency level.Mindrift is a dynamic platform that connects talented specialists with project-based AI opportunities at leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute perm…

Toloka AI seeks a freelance AI trainer with experience in civil engineering and Python. This contract position is fully remote and based in Glasgow, Scotland. Role overview This role centers on using civil engineering knowledge and Python programming skills to help train and refine AI models. The work supports AI projects aimed at improving efficiency in engineering tasks. Key responsibilities Use civil engineering expertise and Python programming to enhance AI model performance. Collaborate with a distributed team developing AI-driven solutions for project workflows. Offer technical input to support current and future AI initiatives within the team. Location This is a remote role based in Glasgow, Scotland, United Kingdom.

Kindly submit your CV in English, detailing your proficiency in the language.Mindrift is a pioneering platform that connects talented specialists with project-based AI opportunities for top-tier tech companies, concentrating on the enhancement, evaluation, and testing of AI systems. Please note that participation is project-based rather than permanent employment.Role OverviewEach project presents distinct tasks, and contributors may be involved in:Crafting innovative computational engineering challenges that reflect real-world engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring that challenges are computationally demanding and employ numerical methods or iterative solutions;Conceiving problems related to system design, optimization, and analysis;Drawing from actual research challenges or practical applications in engineering;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis opportunity is ideal for engineers with Python expertise who are open to part-time, non-permanent engagements. Candidates should ideally 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, or any programming language will also be considered;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Application ProcessApply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.Project CommitmentDuring active phases, tasks are projected to require approximately 10–20 hours per week, depending on project demands. Note that this is an estimate and not a guaranteed workload, applicable only while the project is active.Compensation StructureContributors can earn up to $36 per hour based on their level of expertise and contribution pace. Compensation varies across projects depending on their scope, complexity, and required expertise. Please note that different projects on the platform may offer varying compensation levels based on their specific requirements.

We invite you to submit your CV in English and specify your proficiency level in English.Mindrift bridges the gap between specialists and project-based AI opportunities with leading tech companies, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis rather than permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may:Craft original computational statistics problems that reflect genuine mathematical research workflows;Develop problems requiring Python programming solutions utilizing libraries such as Numpy, SciPy, and Sympy;Ensure challenges are computationally intensive and cannot be solved manually in a reasonable timeframe (days or weeks);Create complex problems that involve non-trivial reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;Base problems on authentic research challenges or practical applications in mathematical practice;Verify solutions through Python with standard mathematical libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis role is ideally suited for statistics professionals proficient in Python who are open to part-time, non-permanent projects. We prefer candidates who possess:A degree in Statistics or related disciplines;Python skills for numerical validation. Proficiency in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or equivalent programming languages is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Workflow ProcessApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentFor this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent upon project needs. This is an estimate and not a guaranteed workload while the project is active.CompensationContributors can earn up to $43 per hour, depending on their expertise and contribution pace. Compensation varies by project 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.

Please submit your CV in English and indicate your level of English proficiency.Mindrift bridges the gap between talented specialists and exciting project-based AI opportunities with leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not lead to permanent employment.What This Role Entails:While each project has its unique objectives, contributors will typically be involved in:Designing innovative computational physics problems that replicate authentic physics research workflows;Creating complex problems requiring Python programming (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally intensive, necessitating resolution beyond manual capabilities within reasonable timeframes (spanning days to weeks);Formulating problems that demand intricate reasoning across areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research challenges or practical applications within the field of physics;Validating solutions through Python utilizing standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Desired Qualifications:This opportunity is ideally suited for optical engineers with a proficiency in Python who are seeking part-time, non-permanent projects. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any relevant programming language is also acceptable;A minimum of 2 years of professional experience, including applicable applied, research, or teaching experience;Familiarity with numerical simulation methods;The capability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across various physics domains;Proficiency in physics modeling and approximation techniques;Strong written English skills (C1+ level).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject Time Expectations:Tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This estimate is not a guaranteed workload and applies only while the project is active.Compensation:Contributors can earn up to $35 per hour, contingent on their level of expertise and pace of contribution. Note that compensation may vary across projects based on their scope, complexity, and required expertise.

Toloka AI is seeking a Freelance AI Trainer with a strong background in Biology and Python. This remote position is based in Glasgow, Scotland, and offers the chance to contribute to AI education projects from anywhere. Role overview This role centers on developing training materials and delivering online sessions focused on Biology and Python. The position involves working closely with teams to improve and expand Toloka AI's training programs. What you will do Create clear and engaging educational content in Biology and Python Lead online training sessions for learners Collaborate with team members to enhance program quality Location This is a remote freelance role open to candidates in Glasgow, Scotland, United Kingdom.

Mindrift offers project-based roles for chemistry professionals with strong Python skills. Work is remote and focuses on developing and validating computational chemistry problems for AI training. These are temporary assignments, not permanent positions. What you will do Create original computational chemistry problems that reflect real research workflows. Design problems that require Python solutions, using libraries such as NumPy, SciPy, and chemistry-specific packages. Ensure each problem is computationally intensive, beyond what could be solved manually within days or weeks. Develop scenarios needing complex reasoning in fields like physical chemistry, quantum chemistry, and molecular modeling. Base your work on actual research challenges or practical chemistry applications. Validate solutions in Python using established computational chemistry methods. Document each problem clearly and provide verified answers. Requirements Degree in Chemistry or a related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or other programming languages is also acceptable. At least 2 years of professional experience in applied, research, or educational settings. Familiarity with numerical methods and computational chemistry concepts. Strong written English skills at C1 level or higher. How to apply Submit your CV in English and specify your English proficiency. The process: apply, complete qualifications, join a project, execute tasks, and receive payment. Time commitment Expect to spend about 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. Compensation Earn up to $35 per hour, depending on contribution and project complexity. Pay rates may vary for different projects on the platform.

Join our innovative team at Toloka AI as a Senior Python Data Scraping Engineer. In this freelance role, you will be responsible for developing robust data scraping solutions that will assist us in gathering and processing essential data. You will work with cutting-edge technologies and contribute to exciting projects that impact our entire organization.

We kindly ask you to submit your CV in English along with your level of English proficiency.Mindrift specializes in connecting experts with exciting, project-based AI opportunities for leading tech firms, primarily aimed at testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not lead to permanent employment.Opportunity OverviewEach project presents unique challenges, where contributors may:Architect original material engineering problems that mimic real-world engineering workflows;Develop problems necessitating Python programming for engineering calculations and simulations;Ensure that problems are computationally robust, requiring numerical methods or iterative solutions;Generate problems centered on system design, optimization, and analytical evaluation;Base problems on real research challenges or practical engineering applications;Validate solutions using Python along with standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate RequirementsThis role is ideal for material scientists and engineers proficient in Python, open to non-permanent, part-time projects. The ideal candidates will possess:A degree in Material Science or a related field;Strong Python skills for numerical validation; experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries will also be considered;A minimum of 2 years of relevant professional experience, including applied, research, or teaching experience;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).How the Process WorksApply → Successfully complete qualification(s) → Join a project → Carry out tasks → Receive payment.Project CommitmentDuring active project phases, tasks are anticipated to require approximately 10–20 hours per week, subject to project needs. This is an estimation and not a guarantee of workload.Compensation DetailsContributors can earn up to $35 per hour, depending on their experience level and contribution pace. Please note that compensation varies across different projects based on scope, complexity, and required expertise.

Please submit your CV in English and indicate your level of English proficiency. Mindrift brings together subject-matter experts and project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This freelance arrangement is project-based and not a permanent employment contract. Role overview This freelance AI Trainer role centers on material science and engineering projects. Assignments vary and may involve: Developing original material engineering problems that mirror real-world workflows Designing problems that require Python programming for calculations and simulations Creating computationally intensive problems using numerical methods or iterative solutions Building scenarios for system design, optimization, and analysis Formulating problems based on current research or practical engineering cases Validating solutions with Python and standard engineering libraries Clearly documenting problem statements and providing verified answers Requirements Degree in Material Science or a closely related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued Minimum 2 years of relevant professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher How to join Apply Complete qualification steps Join a project Finish assigned tasks Receive compensation Project commitment During active project phases, expect to spend about 10–20 hours per week on assigned work. Actual workload depends on project needs and is not guaranteed outside of active phases. Compensation Contributors can earn up to $35 per hour, depending on expertise and pace. Compensation may vary between projects based on their scope and complexity. This is a remote role. Candidates located in Glasgow, Scotland, United Kingdom are welcome to apply.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based contract roles for experienced data professionals. The company connects specialists with AI-focused projects at leading technology organizations. Most assignments involve testing, evaluating, or enhancing AI systems. This is not a permanent position but a contract engagement for specific projects. Role overview As a Freelance Data Science Engineer (Python & SQL), work centers on designing and validating complex data science problems. Projects span sectors such as telecom, finance, government, e-commerce, and healthcare. Tasks typically include: Creating computational problems that mirror real-world analytics workflows. Developing challenges requiring advanced Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensuring problems are computationally intensive and not solvable by hand in a short time. Building scenarios involving multi-step reasoning: data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Formulating deterministic problems with reproducible results, minimizing randomness by using fixed seeds where needed. Basing problems on realistic business cases such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the full data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Including big data processing situations that require scalable computational solutions. Validating solutions in Python with standard data science libraries and statistical techniques. Documenting each problem clearly, including business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business results. Portfolio of completed projects or publications that demonstrate real-world problem-solving. Advanced Python skills for data science, especially with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Expertise in statistical analysis and machine learning, with deep understanding of algorithms and their applications. Advanced SQL proficiency for data manipulation and analysis. Familiarity with Generative AI (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment processes. Experience with frameworks such as TensorFlow, PyTorch, and LangChain. Strong written English skills (C1 level or higher). How to join Apply with a CV and indicate English proficiency. Complete the qualification process. Join a project team. Work on assigned tasks. Receive compensation for completed work. This is a remote, project-based contract role. Location: 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.

We invite you to submit your CV in English along with your English proficiency level.At Mindrift, we bridge the gap between talented specialists and exciting project-based AI opportunities with leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based role, not a permanent position.Opportunity OverviewWhile each project presents its own unique challenges, contributors may engage in the following tasks:Design innovative computational data science challenges that replicate real-world analytical processes across various sectors such as telecom, finance, government, e-commerce, and healthcare.Develop problems that necessitate Python programming for resolution, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensure that the problems are computationally demanding and cannot be resolved manually within practical time limits (days or weeks).Create tasks requiring complex reasoning chains in areas such as data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Design deterministic problems with consistent answers: avoid stochastic factors or necessitate fixed random seeds for exact reproducibility.Base the challenges on actual business scenarios: customer analytics, risk evaluation, fraud detection, forecasting, optimization, and operational efficiencies.Construct comprehensive problems that encompass the entire data science workflow (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Incorporate scenarios involving big data processing that require scalable computational methodologies.Validate solutions using Python along with standard data science libraries and statistical techniques.Clearly document problem statements with realistic business contexts and provide verified correct solutions.Desired QualificationsThis role is ideal for data science experts with a background in Python who are interested in part-time, project-based work. Ideal candidates will possess:5+ years of practical data science experience with demonstrated impact on business outcomes.A portfolio of completed projects and publications that showcase effective problem-solving in real-world scenarios.Proficient Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels).A strong foundation in statistical analysis and machine learning, including a deep understanding of relevant algorithms, methods, and their applications.Expertise in SQL and database operations for data manipulation and analysis.Familiarity with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).An understanding of MLOps practices and model deployment processes.Knowledge of cutting-edge frameworks (TensorFlow, PyTorch, LangChain).Strong written English proficiency (C1+).Process OverviewApply → Complete qualifications → Join a project → Execute tasks → Receive payment

We kindly request that you submit your CV in English and specify your English proficiency level.Mindrift connects professionals with exciting project-based AI opportunities for leading tech companies, focusing on the assessment, testing, and enhancement of AI systems. Please note that participation is project-based and does not guarantee permanent employment.Opportunity OverviewWhile each project presents unique challenges, contributors may be involved in tasks such as:Creating original computational data science problems that emulate real-world analytical workflows across various sectors (telecommunications, finance, government, e-commerce, healthcare).Formulating problems that require Python programming for resolution (utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).Ensuring that the problems are computationally demanding and cannot be solved manually within a reasonable timeframe (days/weeks).Developing challenges that necessitate complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Designing deterministic problems with reproducible answers, avoiding stochastic elements or requiring fixed random seeds for exact reproducibility.Grounding problems in actual business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Crafting end-to-end problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Incorporating big data processing scenarios that require scalable computational approaches.Validating solutions using Python with standard data science libraries and statistical methodologies.Documenting problem statements clearly with realistic business contexts and providing verified correct answers.What We SeekThis opportunity is ideal for Data Science specialists with Python expertise who are open to part-time, non-permanent projects. The perfect candidates will possess:5+ years of practical data science experience demonstrating tangible business impact.A portfolio of completed projects and publications showcasing effective problem-solving skills.Proficiency in Python for data science (including Pandas, Numpy, Scipy, Sklearn, Statsmodels).Advanced statistical analysis and machine learning expertise, with a solid understanding of algorithms, methods, and their practical applications.Strong SQL skills for data manipulation and analysis.Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).A grasp of MLOps practices and model deployment workflows.Familiarity with modern frameworks (TensorFlow, PyTorch, LangChain).Exceptional written English skills (C1+ level).ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment

Please submit your CV in English and indicate your level of English proficiency. toloka-ai, in partnership with Mindrift, offers freelance, project-based roles focused on advancing AI systems. This opportunity is structured around temporary assignments, not permanent employment. Each project aims to test, evaluate, and improve AI capabilities through the expertise of skilled professionals. Role overview The Optical Engineer – Freelance AI Trainer works on assignments that draw on deep knowledge of optics and physics. Project tasks can include: Creating original optics problems that reflect real-world research workflows in physics Designing computationally intensive challenges that cannot be solved manually in a short time Developing problems requiring advanced reasoning across areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing assignments on authentic research scenarios or practical applications in optics and physics Documenting problem statements clearly and providing verified, accurate solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Minimum of 2 years’ experience in applied, research, or teaching roles Experience with numerical simulation methods Ability to create problems that mirror real-world physics research Creative problem-solving skills across multiple physics disciplines Familiarity with modeling and approximation techniques in physics Excellent written English skills at C1 level or above This freelance role is ideal for optical engineers seeking flexible, part-time assignments without a long-term commitment. Project commitment During active project periods, tasks typically require 10–20 hours per week. Actual workload may change depending on project availability. Compensation Contributors can earn up to $35 per hour, based on skill, pace, and project requirements. Compensation depends on the scope, complexity, and expertise needed for each assignment. Application process Apply Meet qualifications Join a project Complete assigned tasks Receive compensation Location: Remote , Glasgow, Scotland, United Kingdom

Mindrift connects specialists with AI-driven projects from leading technology innovators. The platform aims to unlock the potential of Generative AI by bringing together real-world expertise from across the globe. Role overview This part-time, remote contract is for a Freelance Integration Developer (API Specialist) working on the Tendem project (https://tendem.ai/). Candidates may be based in Glasgow, Scotland, or elsewhere in the United Kingdom. The role centers on building smooth integrations in a hybrid environment where AI and human agents work together to manage business processes. What you will do Design and assess integrations between business systems such as CRMs, ad platforms, and email tools. Develop and refine workflows using APIs, webhooks, and both real-time and batch data pipelines. Connect and synchronize databases across platforms like Airtable, Google Sheets, Notion, and others. Maintain reliable, real-time data transfer and consistency across multiple systems and services. Troubleshoot data flow, address latency, and resolve failures as they occur. Support the integration of automated communication systems, including messaging, outreach, or calling workflows. Who succeeds in this role This contract fits professionals with practical experience in APIs, webhooks, and multi-system data pipelines. Structured thinking, attention to quality assurance, and the ability to collaborate with both human and AI team members are important for delivering stable integrations. Compensation Freelancers can earn up to $60 per hour, depending on experience and pace of contribution. Compensation may vary by project based on scope and complexity.

Please submit your CV in English and include your English proficiency level. This is a freelance, project-based position with Toloka AI, delivered through Mindrift. The work centers on testing, evaluating, and improving AI systems for leading technology companies. This role is not a permanent placement, but offers flexibility and remote collaboration from Glasgow or elsewhere in the United Kingdom. Role overview The Senior Python Developer - Code Migration Specialist will focus on functional testing, code migration, and advanced development workflows. Key tasks include working with large codebases, setting up Docker environments, and applying large language models (LLMs) such as Roo Code and Claude Code to automate and accelerate development. The role also involves reading and interpreting code in C, Rust, and Go, and translating migration requirements into actionable solutions. What you will do Design and implement black box functional tests for extensive codebases in various source languages. Set up, manage, and troubleshoot Docker environments for reproducible builds and consistent test execution across platforms. Track code coverage and automate scoring to ensure benchmarks are met. Utilize LLMs (Roo Code, Claude) to streamline development, automate repetitive processes, and enhance code quality. Requirements Minimum 5 years of experience as a Software Engineer, specializing in Python. Expertise with pytest, including fixtures, session-scoped tests, and timeouts, as well as black-box functional testing for CLI tools. Advanced Docker skills: writing reproducible Dockerfiles, managing user contexts, and setting up secure workspaces. Strong Linux and Bash scripting abilities, particularly for debugging within containers. Familiarity with modern Python tooling (uv, pyproject.toml, packaging). Ability to read and work with code in C, C++, Rust, and Go using LLMs. Hands-on experience with LLMs (Claude Code, Roo Code, Cursor) for iterative development and test generation. English proficiency at B2 level or higher. Preferred qualifications Experience with agent evaluation platforms and MCP CLI. Tools and technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Benefits and work arrangement Freelance, project-based work through Mindrift in partnership with Toloka AI. Fully remote with flexible scheduling; typical workload is 20-30 hours per week. Compensation varies by project and experience. For this project, AI trainers can earn up to $50 per hour.

We invite you to submit your CV in English, noting your proficiency level.Mindrift specializes in connecting experts with dynamic, project-based AI opportunities in collaboration with leading technology firms. Our focus is on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors will:Craft original optical problems that replicate authentic physics research processes;Ensure problems demand computational solutions that cannot be manually resolved in a reasonable timeframe (days/weeks);Formulate problems involving complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research questions or practical scenarios from optics and physics;Clearly document problem statements and supply verified correct answers.Desired QualificationsThis role is ideal for optical engineers seeking flexible, part-time, non-permanent projects. We prefer candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;At least 2 years of professional experience in applied, research, or teaching roles;Familiarity with numerical simulation techniques;Adeptness in designing problems that reflect real physics research workflows;Innovative thinking in problem design across various physics domains;Experience with physics modeling and approximation techniques;Strong written English proficiency (C1+).Project Engagement ProcessApplication → Qualification Assessment → Project Participation → Task Completion → CompensationProject Time CommitmentActive phases of this project are estimated to require approximately 10–20 hours per week, depending on project demands. This is an estimate and does not guarantee workload during project activity.Compensation DetailsContributors can earn up to $35 per hour, dependent on individual contribution level and speed. Compensation varies by project scope, complexity, and expertise required. Note that other projects may offer differing compensation rates.

Mindrift seeks a Freelance Low-Code Automation Engineer (AI Workflow Specialist) to support the Tendem project. This part-time, remote contract is open to candidates in Glasgow or anywhere in the United Kingdom. Internally, this role is called AI Pilot and centers on building and refining workflow automations that combine AI with human expertise. Role overview This position focuses on designing, testing, and optimizing automation workflows for business platforms. The work involves both technical implementation and creative problem-solving to ensure that AI-driven processes run smoothly alongside human input. What you will do Design and evaluate automation workflows across various business platforms Build, test, and refine workflows using low-code tools such as Make.com and n8n, integrating APIs, webhooks, and event-driven logic Apply custom JavaScript within automation platforms for advanced logic and data transformation Ensure reliable data synchronization between systems like Airtable, Google Sheets, Notion, and different CRMs Implement error handling, logging, and fallback strategies to maintain workflow reliability Monitor automation performance, identify bottlenecks, and optimize for efficiency Automate communication and operational processes, including messaging and notifications Requirements Practical experience with low-code automation platforms, especially Make.com and n8n Background in workflow architecture and automation design Ability to use JavaScript for custom logic within automation tools Comfort working with APIs, webhooks, and integrating data across business tools Structured thinker with a practical approach to troubleshooting and optimizing workflows Interest in combining AI with human expertise to create effective automation solutions Mindrift connects specialists with innovative AI projects for leading technology companies. The team’s mission is to bring real-world expertise into Generative AI initiatives by collaborating with professionals from diverse backgrounds worldwide.

Mindrift is looking for a Freelance AI Workflow Engineer (AI Pilot) to join the Tendem project. This remote, part-time contract focuses on building and refining intelligent automation systems that combine large language models (LLMs) with human oversight. The position is open to candidates based in Glasgow, Scotland, or working remotely from the United Kingdom. Project: Tendem The Tendem project (https://tendem.ai/) develops hybrid automation solutions where LLMs and human agents collaborate. The goal: create scalable, dependable workflows that automate content generation, enrichment, and communication tasks. What you will do Design and evaluate workflows that integrate with LLM APIs, including OpenAI, Claude, Gemini, or similar platforms. Develop and improve AI-powered automation systems for tasks such as content creation, enrichment, and communication. Create and refine prompt frameworks to ensure consistent, high-quality results. Set up automated, personalized outreach systems for email, messaging, and lead enrichment. Structure and preprocess data to maintain stable model performance and reliable outputs. Analyze and optimize AI-driven pipelines for scalability, efficiency, and accuracy. Role overview This role calls for hands-on experience with LLM integrations, prompt engineering, and automation systems. Collaboration with Tendem Agents is central, as is applying structured thinking and quality control to workflow development. The position suits professionals comfortable working independently in a remote setting, focused on delivering robust AI solutions.