Freelance Agent Evaluation Engineer

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 in…

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

Please submit your CV in English and include your English proficiency level. Toloka AI, in partnership with Mindrift, offers project-based freelance opportunities for skilled professionals to help test, evaluate, and improve AI systems for leading technology companies. This is a freelance, project-based position and does not lead to permanent employment. Role overview As a Freelance AI Trainer (Data Scientist) working remotely from Sweden, assignments focus on building and refining AI models through real-world data science challenges. Typical projects include: Designing computational data science problems that mirror analytical workflows in sectors like telecom, finance, government, e-commerce, and healthcare. Developing problems that require Python solutions, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensuring problems are computationally demanding, taking days or weeks to solve, and not just manual calculations. Creating scenarios that call for complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and drawing insights. Making sure all challenges are deterministic and reproducible, either by avoiding randomness or by using fixed random seeds. Basing tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Including big data processing scenarios that need scalable computational approaches. Validating solutions in Python with standard data science libraries and statistical techniques. Documenting problem statements clearly, with realistic business contexts and verified solutions. Requirements Minimum 5 years of hands-on data science experience with demonstrated business impact. A portfolio of completed projects or publications showing real-world problem solving. Advanced Python skills for data science (including pandas, numpy, scipy, scikit-learn, statsmodels). Strong background in statistical analysis and machine learning, with deep knowledge of algorithms and their uses. Proficiency in SQL and database operations for data manipulation and analysis. Experience with Generative AI, such as LLMs, Retrieval-Augmented Generation, prompt engineering, and vector databases. Understanding of MLOps and model deployment processes. Familiarity with frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English (C1 level or higher). How to apply Apply Complete qualifications Join a project Fulfill tasks Receive payment

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.

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.

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.

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.

Mindrift connects mathematics specialists with project-based AI work for leading technology companies. This freelance role focuses on testing, evaluating, and improving AI systems. Projects are temporary and do not represent permanent employment. Role overview Assignments vary and may include: Designing original computational mathematics problems that reflect real research workflows Formulating problems that require Python programming for solutions, often using libraries like Numpy, SciPy, or Sympy Creating computationally intensive problems that cannot be solved manually in a reasonable timeframe Developing challenges involving advanced reasoning in number theory, combinatorics, graph theory, or numerical analysis Basing problems on authentic research challenges or practical applications in mathematics Validating solutions with Python and standard mathematical libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also valued At least 2 years of experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems that simulate real mathematical research processes Familiarity with computational complexity theory Excellent written English (C1+ proficiency) Project commitment Workload is estimated at 10–20 hours per week while projects are active. Actual hours may vary depending on project needs and are not guaranteed outside active phases. Compensation Contributors may earn up to $45 per hour, depending on expertise and contribution speed. Rates can vary by project based on scope and complexity. Other projects on the platform may offer different earning potentials. Application process Apply Pass qualifications Join a project Complete assigned tasks Receive payment Please submit your CV in English and specify your English proficiency level.

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

Toloka AI is looking for a freelance specialist with a strong background in both biology and Python programming. This remote role is based in Sweden and centers on developing and improving materials used to train artificial intelligence systems. Role overview This position focuses on creating and refining training content that combines biological science concepts with Python. The work supports AI development by ensuring materials are accurate and effective. What you will do Develop AI training materials that draw on biology and Python expertise Review and enhance existing content to improve clarity and accuracy Who this role suits This freelance opportunity is well suited to those interested in the overlap between biological sciences and artificial intelligence, and who enjoy working independently on specialized projects.

Join Us in Shaping the Future of Data! Are you an experienced data consultant looking to collaborate on innovative digital solutions? At Devoteam, we are on the lookout for skilled freelancers in the realm of data to partner with us in building tomorrow's technologies. Our offices are located in Malmö, Helsingborg, Halmstad, Göteborg, and Stockholm, where we engage with some of the most dynamic companies in the region. More Than Just a Company, We Aspire to Be Your Success Partner! With 25 years of global experience and over 10,000 employees across 20 countries, we are a premier partner of AWS, Azure, Snowflake, and Google Cloud. Our mission at Devoteam Göteborg is to assist Nordic businesses in harnessing their data through cutting-edge software, modern data platforms, advanced analytics, and AI-driven solutions.

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented specialists with exciting project-based AI opportunities for leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not entail permanent employment.What This Opportunity Involves:While each project presents its own unique challenges, contributors may:Design innovative computational statistics problems that reflect authentic mathematical research workflows;Create Python-based problems requiring solutions utilizing libraries such as Numpy, SciPy, and Sympy;Ensure problems are computationally intensive, taking days or weeks to solve manually;Develop scenarios necessitating complex reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;Base problems on genuine research challenges or practical applications in mathematics;Validate solutions using Python and standard mathematical libraries;Clearly document problem statements and provide verified correct answers.What We Look For:This opportunity is ideal for statistics specialists with Python experience who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Statistics or related disciplines;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language can be considered equivalent;At least 2 years of professional experience in applied, research, or teaching roles;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 Works:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensatedProject Time Expectations:During active phases, tasks are estimated to require about 10–20 hours per week, depending on project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $50 per hour equivalent, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required expertise, and different projects may offer varying earning levels.

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.

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 Want to Collaborate with You!We are on the lookout for experienced data consultants who are eager to co-create tomorrow's digital solutions with us. Our offices are located in Malmö, Helsingborg, Halmstad, Göteborg, and Stockholm, collaborating with some of the most exciting companies in the region.More than just a company, we aspire to be a partner in your success!With 25 years of global experience and over 10,000 employees across 20 countries, we stand as a leading partner for AWS, Azure, Snowflake, and Google Cloud, providing expertise and innovation in every project. Our focus at Devoteam Göteborg is primarily on helping Nordic companies harness their data through software, modern data platforms, advanced analytics, and AI-driven solutions.

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.

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.

Toloka Annotators is looking for a Freelance AI Trainer - Data Annotation Specialist to help build better AI models by producing well-labeled datasets. This remote position is open to candidates based in Sweden. Key responsibilities Label and annotate various types of data for AI training and evaluation tasks Support the accuracy and performance of machine learning models through careful data preparation Work remotely with an international team of collaborators What we value Keen attention to detail when handling data Interest in AI technologies and maintaining data quality Ability to work independently from a home office Residence in Sweden Work arrangement This freelance role offers the flexibility to work from anywhere within Sweden. Team members connect and collaborate online with colleagues worldwide.

Join our dynamic team as an AI Data Specialist and contribute to the enhancement of AI-generated content in Swedish. Job Type: FreelanceLocation: Work from homeWork Schedule: Part-time - 10+ hours per week. Enjoy the flexibility to work at your convenience.Start Date: Immediate availabilityDuration: To be confirmedRate: Compensation varies based on location. Contribute to the Future of AIAre you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote opportunities? If you're passionate about shaping the evolution and safety of contemporary AI models, we want to hear from you! Your ResponsibilitiesIn this role, you will perform a variety of data-centric tasks, including:Data collection, evaluation, and annotation.Conducting pairwise comparisons.Executing counting tasks.Tagging and labeling objects across various content types (audio, video, images, or collected data). QualificationsNative-level fluency in SwedishProficient in English (Fluent or advanced proficiency, levels B2–C2)Experience in AI & Data (Preferred): Familiarity with machine learning tasks, data collection and preprocessing, quality assurance, and data annotation. What We ProvideFlexible working hoursPotential to earn additional incomePrompt paymentIdeal for students, part-timers, or stay-at-home parents