Note: This is a freelance, project-based position via Mindrift (powered by Toloka AI), not a permanent role. Candidates must submit a CV in English and indicate their English proficiency level. Mindrift connects skilled professionals to project-based work in AI, supporting leading technology companies. Projects focus on testing, evaluating, and improving AI systems. Role overview Toloka AI is seeking a Senior Python Developer with expertise in code migration and functional testing. This remote position is open to candidates based in Sweden. The work involves handling large codebases across multiple programming languages, managing Docker environments, and using large language models (LLMs) to automate and streamline development tasks. What you will do Develop functional black box tests for codebases written in various languages Set up and maintain Docker environments to support consistent builds and test execution Track code coverage and implement automated scoring to align with industry standards Apply LLMs (such as Roo Code and Claude Code) to automate repetitive tasks, enhance code quality, and accelerate development cycles Requirements 5+ years of software engineering experience, with a strong focus on Python Advanced knowledge of pytest, including fixtures, session-scoped tests, and timeouts; experience designing black-box functional tests for CLI tools Expertise in Docker: writing reproducible Dockerfiles, managing user contexts, and maintaining secure workspaces Proficiency in Linux and Bash scripting, with the ability to debug within containers Familiarity with modern Python tools (uv, pyproject.toml, packaging) Ability to read and understand code in C, C++, Rust, and Go, with support from LLMs Experience using LLMs (Claude Code, Roo Code, Cursor) to speed up development and generate test cases English proficiency at B2 level or above Preferred qualifications Background with agent evaluation platforms Familiarity with MCP CLI Technologies used Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (for reading code), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Benefits Project-based freelance work through Mindrift Fully remote and flexible: set your own hours (20-30 per week) Compensation varies by project and expertise; AI trainers can earn up to $50 per hour

Please submit your CV in English and specify your English proficiency level. This is a freelance, project-based position with Toloka AI, connecting through the Mindrift platform. Assignments focus on testing, evaluating, and improving AI systems for technology companies. This role is not a permanent employment contract. Role overview The Senior Python Systems Developer - Functional Testing Expert works fully remotely from Sweden. The main focus is on large-scale codebases, reproducible Docker environments, and leveraging LLMs such as Roo Code and Claude Code to streamline both development and testing. Projects require hands-on work with functional testing, automation, and code quality improvement. What you will do Design and implement functional black box tests for codebases in multiple languages. Set up and maintain Docker environments to ensure reproducible builds and consistent testing across platforms. Monitor code coverage and configure automated scoring systems to meet industry standards. Use LLMs (Roo Code, Claude) to automate repetitive tasks, accelerate development, and improve code quality. Requirements Minimum 5 years as a Software Engineer, with deep experience in Python. Advanced skills with pytest, including fixtures, session-scoped tests, and timeouts. Strong background in black-box functional testing for CLI tools. Expertise in Docker: writing reproducible Dockerfiles, managing user contexts, and securing workspaces. Strong command of Linux and Bash scripting, including debugging inside containers. Familiarity with modern Python tools such as uv, pyproject.toml, and packaging. Ability to read and understand code in C, C++, Rust, and Go, using LLMs as needed. Experience using LLMs (Claude Code, Roo Code, Cursor) to speed up development and generate test cases. English proficiency at B2 level or above. 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. Engagement and compensation Freelance, project-based work through Mindrift (powered by Toloka AI). Fully remote with flexible scheduling. Typical commitment is 20-30 hours per week. Compensation varies by project scope and expertise. AI trainers can earn up to $50 per hour.

Role overview Jobgether is looking for a Lead Senior Node.js Backend Developer based in Sweden. This role joins an engineering team dedicated to building secure, scalable backend systems that power digital finance services for users worldwide. The focus is on creating real-time, dependable infrastructure that supports financial products used across the globe. What you will do Design and develop backend infrastructure using Node.js, with a strong emphasis on reliability and security for financial platforms. Architect and maintain APIs and backend services that are essential to digital finance products. Work with distributed systems and optimize them for real-time performance. Collaborate with engineers in different regions, sharing technical knowledge and best practices. Contribute to the direction and development of next-generation financial products for a global audience. Work environment Remote-first setup, offering flexibility and autonomy. A team culture that values responsibility and encourages technical growth and innovation. Who thrives here Engineers who enjoy tackling complex technical challenges and building dependable systems. Those with a strong interest in backend architecture, distributed systems, and performance optimization. Developers motivated to contribute to products with a global reach.

Please submit your CV in English and specify your English proficiency level. toloka-ai, in partnership with Mindrift, offers project-based contract opportunities for experienced data science engineers. Projects focus on testing, evaluating, and improving AI systems for leading technology clients. This is not a permanent employment role but rather contract work based on individual assignments. Role overview Freelance Data Science Engineers (Python & SQL) work on a variety of projects, each with unique analytical and computational challenges. Assignments involve designing original data science problems that reflect real-world business scenarios in sectors such as telecom, finance, government, e-commerce, and healthcare. Create computational problems that require advanced analytical workflows and cannot be solved manually in a short time. Design tasks solvable in Python, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Develop scenarios involving data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Ensure each problem is deterministic and reproducible, using fixed seeds when randomness is necessary. Base challenges on real business needs, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Cover the full data science workflow: from data ingestion and cleaning to modeling, validation, and deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions in Python with established libraries and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of completed projects or publications showing practical problem-solving skills. Advanced Python programming for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong knowledge of statistical analysis and machine learning algorithms. Proficient SQL skills and experience with database operations for analysis. Familiarity with Generative AI tools and techniques such as LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, or LangChain. Excellent written English at C1 level or above. Application process Submit your CV and indicate your English proficiency level. Complete the qualification steps. If selected, join a project. Work on assigned tasks. Receive compensation for completed work. Location: Remote , Sweden

Kindly submit your CV in English, along with a description of your English proficiency level.Mindrift bridges the gap between specialists and project-based AI opportunities offered by leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation in these projects is temporary and project-based, not permanent employment.What This Opportunity Entails:Contributors will engage in unique tasks for each project, which may include:Designing original computational engineering challenges that replicate real-world engineering workflows;Creating problems that require Python programming to address engineering calculations and simulations;Ensuring tasks are computationally intensive and necessitate numerical methods or iterative solutions;Formulating challenges related to system design, optimization, and analysis;Base challenges on actual research issues or practical applications from engineering practice;Validating solutions using Python and established engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate Profile:This role is ideal for engineers with Python experience who are interested in part-time, non-permanent project engagements. The ideal candidate 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, Stata, or experience in any programming language will be considered;At least 2 years of professional experience, which can include applied, research, or teaching roles;A strong grasp of practical engineering constraints and approximations;Excellent written English skills (C1 level or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How It Works:Submit an application → Complete qualification assessments → Join a project → Carry out tasks → Receive payment.Project Time Commitment:During active project phases, tasks are estimated to require approximately 10-20 hours per week, based on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $50 per hour, depending on their skill level and contribution pace. Compensation may vary by project based on its scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their unique requirements.

jobgether is hiring a Senior Full-Stack Engineer based in Sweden. This position focuses on building and improving software using Python and React. The role centers on developing solutions that enhance how users interact with our products. What you will do Work on both backend and frontend projects using Python and React Collaborate with engineers and colleagues from other teams to deliver software Tackle complex technical challenges and contribute to key projects Requirements Professional experience with Python and React Ability to solve complex problems and deliver high-quality solutions Comfort working with cross-functional teams

Are you a talented Data Scraping Engineer with expertise in Python? Join toloka-ai, a leading company in AI-driven solutions, where you'll have the opportunity to work on innovative projects that push the boundaries of technology. As a Freelance Data Scraping Engineer, you'll be responsible for developing robust data scraping solutions to extract valuable insights from various online platforms.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift serves as a bridge connecting specialized professionals with project-based opportunities in artificial intelligence for top-tier tech companies, concentrating on the testing, assessment, and enhancement of AI systems. Please note that participation is based on projects, rather than permanent employment.Project OverviewEach project presents unique challenges, where contributors may be tasked with:Creating original computational physics problems that replicate authentic physics research workflows;Designing problems necessitating Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring problems are computationally intensive, requiring days or weeks to solve manually;Formulating problems that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research obstacles or real-world applications within the field of physics;Validating solutions using Python with standard physics simulation libraries;Thoroughly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis opportunity is perfect for optical engineers experienced in Python who are open to part-time, non-permanent roles. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language can be considered equivalent;Over 2 years of professional experience in applied, research, or teaching roles;Expertise in numerical simulation methods;The capability to design problems reflecting real physics research workflows;Inventive problem design across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject CommitmentDuring active phases, tasks are estimated to require 10–20 hours per week, dependent on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $45 per hour, contingent upon their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Note that other projects on the platform may present different earning potential based on their specific requirements.

Grafana Labs is a pioneering, remote-first organization dedicated to open-source innovation. With over 20 million users globally, Grafana empowers individuals and organizations to visualize data with our acclaimed visualization tool, addressing diverse applications from environmental monitoring to performance analytics. Our distinct dashboards have gained visibility at prominent events including NASA launches and the Tour de France, serving over 3,000 enterprises such as Bloomberg, JPMorgan Chase, and eBay in optimizing their observability strategies through the Grafana LGTM Stack. This stack can either be managed via Grafana Cloud or self-managed through Grafana Enterprise Stack, both of which incorporate scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo. As we continue to expand rapidly, we remain committed to our core values: a rich open-source heritage, a collaborative global culture, and an unwavering passion for impactful work. Our team thrives in an innovative environment fueled by transparency, autonomy, and trust. If this position intrigues you, we encourage you to apply, even if you don't meet every single requirement. This could be a pivotal opportunity in your career.This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland, and the UK only.Senior Engineering Manager - Platform MetalThe Opportunity:About Our Platform:Grafana Cloud processes millions of metrics, log entries, and traces per second from customer environments into a highly resilient, low-latency stack that efficiently processes, stores, and serves this data to dashboards and alerting systems. Our goal is to scale this to hundreds of millions per second while enhancing our performance, reliability, and efficiency.The Internal Engineering Platform (IEP) delivered by our Platform group provides application engineers with essential tools, systems, and Kubernetes clusters required to build, deploy, and manage their workloads.We are looking for a manager to lead the establishment of a new Platform “Metal” squad, responsible for building and provisioning resources such as storage, networking, and Kubernetes clusters in new environments, beginning with our own physical hardware. This squad will provide a Kubernetes control plane and...

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects highly skilled specialists with project-based AI opportunities for top-tier tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Engagement is on a project basis, rather than permanent employment.What This Opportunity InvolvesEach project features distinct tasks, including but not limited to:Designing innovative material engineering problems that replicate authentic engineering workflows;Creating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Grounding problems in real-world research challenges or practical engineering applications;Verifying solutions using Python and standard engineering libraries;Thoroughly documenting problem statements and providing verified, accurate solutions.What We Are Looking ForThis opportunity is ideal for material scientists and engineers with Python experience who are interested in part-time, non-permanent projects. The ideal candidate will possess:A degree in Material Science or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any other programming language is also acceptable;A minimum of 2 years of professional experience encompassing applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).How It WorksApply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.Project Time ExpectationsFor this project, tasks are anticipated to require approximately 10–20 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 active.CompensationContributors can earn up to $45 per hour, contingent upon their level of contribution and pace. Compensation varies across projects based on scope, complexity, and required expertise. Note that other projects on the platform may offer differing earning levels based on their specific requirements.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift is an innovative platform that connects skilled professionals with dynamic, project-based AI opportunities for top-tier technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not imply permanent employment.Opportunity OverviewThis role involves engaging in various unique projects where contributors may:Design original computational physics problems that emulate real-world physics research workflows;Create Python programming challenges requiring advanced libraries such as Numpy, SciPy, and Sympy;Ensure that problems are computationally demanding and cannot be solved manually within practical timeframes (days/weeks);Develop problems that necessitate complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on actual research problems or applicable scenarios from the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct solutions.Candidate ProfileWe are looking for physicists with Python experience who are interested in part-time, non-permanent projects. Ideal candidates will possess: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 any programming language may be considered equivalent;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;The ability to design problems that reflect authentic physics research workflows;Creative problem-solving skills across various physics disciplines;Familiarity with physics modeling and approximation methodologies;Strong written English skills (C1+ level).Application ProcessApply → Complete qualifications → Join a project → Execute tasks → Receive payment.Time CommitmentDuring active project phases, tasks are estimated to require approximately 10–20 hours per week, depending on project specifications. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $45 per hour, based on their experience and contribution pace. Compensation varies by project and depends on the scope, complexity, and required expertise. Note that other projects on the platform may have different compensation structures.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.Mindrift specializes in connecting skilled professionals with project-based AI opportunities for prominent tech companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based role, not a permanent position.About the RoleEach project offers unique challenges, and contributors may be involved in:Creating innovative computational engineering tasks that mirror real-world engineering processes;Developing problems that necessitate Python programming for solving engineering calculations and simulations;Ensuring tasks are computationally demanding, utilizing numerical methods or iterative solutions;Designing problems related to system optimization, design, and analysis;Formulating challenges based on genuine research problems or practical engineering applications;Validating solutions using Python with established engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Candidate ProfileThis opportunity suits engineers experienced in Python, looking for part-time, project-based engagements. Ideal candidates will possess:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language is acceptable;A minimum of 2 years of relevant professional experience, whether in applied work, research, or teaching;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.How to Get InvolvedApplication → Qualification Process → Project Engagement → Task Completion → CompensationProject CommitmentTasks are anticipated to require approximately 10–20 hours per week during active project phases, depending on specific project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $50 per hour, contingent on their expertise and contribution pace. Compensation rates may vary across projects based on scope, complexity, and required skills. Please be aware that other projects on our platform may offer different compensation structures.

Join Elastic as a Senior Account Executive for the Mid Market. In this pivotal role, you will spearhead our sales efforts to engage with mid-sized businesses, driving growth and expanding our market presence. Your expertise will be key in building and maintaining strong client relationships, identifying their unique needs, and presenting tailored solutions that leverage our cutting-edge technology.

Please submit your CV in English and indicate your level of English proficiency.Mindrift is a dynamic platform that connects talented specialists with project-based AI opportunities for top-tier tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not lead to permanent employment.Opportunity Overview:Each project presents unique challenges, and contributors may:Design original computational physics problems that replicate real-world physics research workflows;Create programming challenges that require Python solutions (utilizing frameworks such as Numpy, SciPy, Sympy);Ensure that problems are computationally intensive and cannot be resolved manually within practical time limits (days/weeks);Develop scenarios that necessitate complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on real research dilemmas or applicable challenges from physics practice;Verify solutions using Python in conjunction with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Desired Qualifications:This opportunity suits quantum researchers with Python experience who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also valuable;At least 2 years of professional experience, whether in applied work, research, or teaching;Experience with numerical simulation techniques;The capacity to design problems reflective of genuine physics research workflows;Creative problem-solving abilities across various physics domains;Familiarity with modeling and approximation techniques in physics;Strong command of written English (C1 level or higher).Application Process:Apply → Pass the qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time Commitment:Tasks are estimated to require approximately 10–20 hours per week during active phases, based on specific project demands. This is an estimate and not a guaranteed workload for the duration of the project.Compensation:Contributors can earn up to $45 per hour, depending on their skill level and contribution pace. Compensation varies across projects based on their scope, complexity, and required expertise. Note that other projects on the platform may offer different earning levels based on specific requirements.

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we bridge the gap between specialized talent and exciting, project-based AI roles with leading technology firms. Our focus is on testing, evaluating, and enhancing AI systems. Note: Participation is on a project basis, not permanent employment.What You Will DoEach project presents unique challenges, and contributors may:Design innovative computational physics problems that replicate actual research workflows;Create programming challenges that necessitate Python solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensure tasks are computationally demanding and cannot be resolved manually within a reasonable timeframe;Develop problems that require sophisticated reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problem sets on genuine research obstacles or real-world applications from the field of physics;Verify solutions using Python and standard physics simulation libraries;Clearly document problem statements and provide validated answers.What We Are Looking ForThis role is ideal for physicists with Python experience who are interested in part-time, non-permanent engagements. 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 Stata being advantageous;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;The capability to create problems that reflect real-world physics research workflows;Creative approaches to problem design across various physics domains;A solid understanding of physics modeling and approximation methods;Strong written English skills (C1+).Process OverviewApplication → Qualification Assessment → Project Assignment → Task Completion → PaymentProject Time CommitmentFor this project, expect to dedicate approximately 10–20 hours per week during active phases, based on specific project needs. This is an estimate and not a guaranteed workload for the duration of the project.Compensation DetailsContributors can earn up to $45 per hour, contingent upon their proficiency and contribution pace. Compensation may vary by project based on scope, complexity, and expertise required. Note that other projects may offer differing compensation levels based on their specific needs.

Toloka AI seeks a freelance AI trainer who combines civil engineering experience with strong Python programming skills. This contract position is fully remote and open to candidates based in Sweden. Role overview This role centers on applying civil engineering knowledge and Python expertise to help train and refine artificial intelligence systems. The work supports the development of AI applications by contributing specialized insights from both fields. What you will do Apply civil engineering concepts and Python programming to improve AI models Offer subject matter expertise to shape and support AI application development Location This is a remote position for candidates located in Sweden.

At Grafana Labs, we pride ourselves on being a leader in the open-source community with a remote-first culture. With over 20 million users globally relying on Grafana for diverse monitoring needs—from environmental changes in the Alps to beehive management—our visualizations are recognized in iconic settings, including NASA launches and major sporting events like Wimbledon and the Tour de France. We empower over 3,000 companies, such as Bloomberg, JPMorgan Chase, and eBay, to refine their observability strategies using the Grafana LGTM Stack, which can be deployed through Grafana Cloud or managed independently with Grafana Enterprise Stack, both of which include robust solutions for metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).As we continue to expand rapidly, we remain committed to our unique culture characterized by an open-source heritage, collaborative spirit, and dedication to impactful work. Our team thrives in an environment driven by innovation, transparency, autonomy, and trust.We encourage you to apply even if you don't meet every single requirement. If this position excites you, this could be a pivotal moment in your career.Position Overview: Senior Backend Engineer, AlertingThis is a fully remote opportunity; we welcome candidates from Sweden.The Role:The Grafana Alerting team is central to the Grafana open-source project (link), dedicated to delivering an unparalleled experience for users managing alerts. Our backend-focused engineers collaborate closely with customers and the Grafana Cloud teams to ensure that Alerting functions seamlessly both on-premises and at scale in the cloud.Our domain covers a wide range of projects, including:Developing distributed systems for scalable alert ingestion and Prometheus-based alert delivery.Creating a unified alerting framework for consistent setup and delivery across Grafana and Prometheus alerts.Building scalable systems to evaluate Grafana-managed alerts, achieving over 500 evaluations per second in live environments.Grafana Alerting is trusted by major organizations worldwide, monitoring critical infrastructure and essential medical devices. We are excited to welcome talented individuals who share our passion for innovation and excellence.

Join Grafana Labs, a pioneering remote-first open-source company that empowers over 20 million users worldwide with our innovative visualization tool. Our renowned dashboards are utilized across diverse sectors, from monitoring climate change in the Alps to overseeing beehives. With an impressive client base that includes industry leaders like Bloomberg, JPMorgan Chase, and eBay, we are committed to enhancing observability strategies through our Grafana LGTM Stack, available as either Grafana Cloud or Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).At Grafana Labs, we are rapidly expanding while remaining true to our core values: a dedication to open-source, a collaborative global culture, and a commitment to meaningful work. Our team flourishes in an innovative environment where transparency, autonomy, and trust are paramount.Your qualifications may not encompass every requirement, and that's perfectly acceptable. If you're excited about this opportunity, we encourage you to apply for what could be a transformative step in your career.The OpportunityThe Solutions Engineering team serves as the customer-facing experts for our products. This team is instrumental in driving Grafana Labs' global growth by educating both potential and existing customers, ensuring their satisfaction and success. We leverage our technical and product knowledge through engaging demos, hands-on enablement, presentations, technical evaluations, and continuous interaction. Collaborating closely with our Sales team, we help qualify and close opportunities, serving as a vital communication link between our customers, Product Management, and Engineering teams.A Solutions Engineer listens attentively to prospects and customers, understands their needs, asks insightful questions to gather essential information, and translates this into effective solutions utilizing Grafana Labs technology. They act as the bridge connecting our highly technical engineering team with our customers and Sales team.What You’ll Be DoingPartnering with customers to understand their unique challenges and provide tailored solutions.Conducting product demonstrations and technical evaluations to showcase our offerings.Collaborating with Sales to support opportunity qualification and closure.Acting as a key communication channel between customers, Product Management, and Engineering.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based position at Mindrift connects material scientists with expertise in Python to AI-driven projects for leading technology companies. The work focuses on testing, evaluating, and improving AI systems. This is not a permanent role. Role overview Material scientists in this role design and validate advanced engineering problems for AI training. Typical tasks include: Creating materials engineering problems that mirror real-world workflows Developing challenges that use Python for engineering calculations and simulations Ensuring problems are computationally intensive, often using numerical methods or iterative solutions Designing problems related to system design, optimization, and analytical processes Grounding tasks in real research or practical engineering scenarios Validating solutions in Python, often with established engineering libraries Documenting problem statements and providing verified solutions Requirements Degree in Material Science or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also valued Minimum of 2 years of professional experience in applied work, research, or teaching Solid understanding of practical engineering constraints and approximations Excellent written English at C1 level or higher How to get started Apply Meet qualification criteria Join a project Complete assigned tasks Receive payment Time commitment During active project phases, work typically requires 10–20 hours per week. Workload may vary and is not guaranteed outside of active projects. Compensation Contributors can earn up to $45 per hour, depending on project scope, complexity, and expertise. Rates may differ across projects on the platform. Location: Remote , Sweden