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Experience Level
Experience
Qualifications
Proficiency in Python programming and relevant libraries (e.g., BeautifulSoup, Scrapy). Experience with data extraction and web scraping techniques. Strong understanding of data structures and algorithms. Ability to troubleshoot and optimize scraping processes. Previous experience in a similar role is a plus.
About the job
Join our innovative team at Toloka AI as a Freelance Data Scraping Engineer specializing in Python. In this role, you will leverage your technical expertise to build and maintain efficient data scraping solutions that support our cutting-edge AI projects. Your contributions will directly impact our data management processes and enhance the quality of our AI models.
About Toloka AI
Toloka AI is a forward-thinking company dedicated to harnessing the power of artificial intelligence. We pride ourselves on our collaborative environment and our commitment to developing innovative solutions that address real-world challenges. Join us and be part of a dynamic team driving the future of AI technology.
Submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for professionals interested in AI education. This remote position, open to candidates based in Israel, focuses on creating and validating computational chemistry problems for AI system evaluation. Engagements are project-based rather than perm…
Toloka AI is seeking a freelance specialist with strong expertise in biology and Python programming. This remote role, based in Israel, centers on supporting AI training efforts with hands-on subject matter knowledge. Role overview This position involves developing training materials that help improve artificial intelligence systems, with a focus on biological data. The work includes designing content, guiding AI models, and ensuring accurate interpretation of complex biological information. What you will do Create clear and effective training content for AI models in the biology domain Facilitate learning experiences that connect biological concepts with Python programming Guide AI systems to better understand and process biological data Requirements Expertise in biology Strong programming skills in Python Ability to explain biological concepts and coding techniques clearly
We invite you to submit your CV in English, along with your English proficiency level.Mindrift is an innovative platform that connects talented specialists with project-based AI opportunities at leading technology companies, focused on testing, assessing, and enhancing AI systems. This is a project-based role, not a permanent position.Role OverviewAs a contributor, you will engage in various unique projects, which may include:Creating original computational physics problems that reflect genuine physics research workflows;Developing Python-based problems to solve using libraries such as Numpy, SciPy, and Sympy;Ensuring that problems are computationally intensive enough to require significant time for solution (days to weeks) rather than manual resolution;Designing challenges that necessitate complex reasoning across topics like mechanics, electromagnetism, thermodynamics, and quantum mechanics;Using real-world research challenges or practical physics applications as the basis for problem design;Validating solutions through Python using established physics simulation libraries;Providing clear documentation of problem statements along with accurate solutions.Preferred QualificationsWe are looking for individuals with a background in physics who possess experience in Python and are open to part-time, non-permanent roles. The ideal candidates will have:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation methodologies;The ability to craft problems that accurately represent real physics research workflows;Creative problem-solving skills that span various physics fields;A solid understanding of physics modeling and approximation techniques;Excellent written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete the assigned tasks, and receive payment.Project CommitmentActive phases of projects are expected to require around 10–20 hours of work per week, based on specific project needs. This is an estimation and not a guaranteed workload.Compensation DetailsParticipants can earn up to $35 per hour, depending on their contribution level and pace. Compensation may vary by project based on its scope, complexity, and the expertise required.
Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled specialists with project-based AI initiatives for leading tech companies. The focus is on testing, evaluating, and improving AI systems. This is a project-based freelance role, not a permanent position. What you will do Create original computational mathematics problems that reflect real mathematical research methods. Develop problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and cannot be solved manually within days or weeks. Design challenges involving advanced reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis. Base problems on genuine research questions or practical mathematical applications. Validate solutions in Python with established mathematical libraries. Document each problem clearly, providing both the statement and a verified solution. Requirements Degree in Mathematics (Pure or Applied) or a closely related field. Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata, or knowledge of another programming language is also acceptable. At least 2 years of professional experience, which may include research, teaching, or applied work. Familiarity with numerical methods and symbolic computation. Ability to design problems that mirror authentic mathematical research workflows. Understanding of computational complexity theory. Strong written English skills at C1 level or higher. Application process The process includes: Apply → Complete qualifications → Join a project → Execute tasks → Receive payment. Project commitment During active phases, tasks are expected to require approximately 10–20 hours per week. This estimate depends on project needs and is not a guaranteed workload. Compensation Contributors may earn up to $35 per hour, depending on expertise and pace. Actual compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different earning potential based on their requirements.
Role overview Toloka AI seeks a freelance AI trainer with expertise in civil engineering and strong Python programming skills. This position is fully remote and available to candidates based in Israel. What you will do Use civil engineering knowledge and Python to contribute to the training and improvement of AI models. Work closely with Toloka AI's team to assist in developing advanced AI systems. Location This is a remote role for candidates residing in Israel.
We invite you to submit your CV in English, including your proficiency level in the language.Mindrift is a dynamic platform that bridges skilled professionals with project-based AI opportunities from leading technology firms, focusing on the critical tasks of testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.Project Responsibilities:Each project features unique tasks, and contributors may be involved in:Crafting innovative computational engineering problems that replicate authentic engineering workflows;Formulating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring the tasks are computationally demanding and require numerical methods or iterative solutions;Creating problems centered around system design, optimization, and analytical processes;Developing tasks based on real-world research challenges or practical applications within engineering;Validating solutions using Python and standard engineering libraries;Providing clear documentation for problem statements along with verified correct solutions.Ideal Candidate Profile:This role is suited for engineers with Python expertise who are open to part-time, non-permanent projects. The preferred qualifications include:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries will also be considered;A minimum of 2 years of professional experience in applied, research, or teaching contexts;A solid grasp of practical engineering constraints and approximations;Exceptional written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Project Engagement Process:1. Apply → 2. Pass qualification(s) → 3. Join a project → 4. Complete tasks → 5. Receive compensationTime Commitment:During active phases, tasks are expected to require approximately 10–20 hours per week, based on the project demands. This is an estimated range and may vary according to project activity.Compensation:Contributors can earn up to $37 per hour, depending on their experience level and contribution speed. Compensation may vary across different projects based on their specific scope, complexity, and expertise requirements.
We invite you to submit your CV in English, detailing your proficiency in the language.Mindrift is a dynamic platform that connects exceptional professionals with project-based AI opportunities at prestigious technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be tasked with:Crafting original computational engineering problems that replicate authentic engineering workflows;Designing problems that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive and require numerical methods or iterative solutions;Creating problems focused on system design, optimization, and analysis;Using real research questions or practical engineering applications as the foundation for problems;Validating solutions through Python using standard engineering libraries;Clearly documenting problem statements with verified accurate answers.Ideal Candidate ProfileThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Candidates should ideally possess:A degree in Mechanical Engineering or related fields;Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant programming languages as alternatives;A minimum of 2 years of professional experience, including applied, research, or teaching experience;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 with international or applied projects are considered advantageous.How It WorksApplication → Qualification Process → Project Engagement → Task Completion → CompensationProject Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload, applicable only during the active project period.CompensationParticipants can earn up to $37 per hour, contingent on their experience and contribution pace. Please note that compensation may vary across different projects based on scope, complexity, and required expertise.
Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented specialists with project-based opportunities in artificial intelligence for leading technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation in projects is temporary and not a permanent position.Role Overview:Each project presents distinct tasks, where contributors may:Design innovative computational statistics challenges that reflect authentic mathematical research processes;Develop problems that necessitate Python programming to resolve (utilizing libraries such as Numpy, SciPy, Sympy);Ensure challenges are computationally demanding and cannot be addressed manually within practical timeframes (spanning days/weeks);Construct problems that require complex reasoning in domains such as number theory, combinatorics, graph theory, and numerical analysis;Base challenges on genuine research dilemmas or applicable scenarios from mathematical practices;Validate solutions using Python and standard mathematical libraries;Clearly document problem statements and provide verified correct solutions.Ideal Candidate Profile:This opportunity is suited for statistics professionals with Python expertise who are interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Statistics or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata can also be considered;A minimum of 2 years of professional experience in applied, research, or teaching capacities;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are beneficial.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time Expectations:Tasks 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, applicable only while the project is active.Compensation:Contributors can earn up to $39 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please be aware that other projects on the platform may offer different earning potential based on their requirements.
Kindly submit your CV in English, specifying your English proficiency level.Mindrift specializes in connecting talented experts with dynamic, project-based AI opportunities within leading tech organizations, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and not a permanent employment position.Opportunity OverviewEach project offers unique challenges, and contributors may be tasked with:Creating original computational physics problems that replicate authentic physics research workflows;Devising problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and cannot be resolved manually in a reasonable timeframe (days/weeks);Formulating problems that involve complex reasoning chains in fields such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications from the field of physics;Verifying solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is an excellent match for quantum researchers with Python experience who are open to part-time, non-permanent projects. Ideal contributors will have:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;A minimum of 2 years of relevant professional experience, whether in applied research or teaching;Experience with numerical simulation methodologies;The ability to design problems mirroring real physics research workflows;Creative thinking for problem design across various physics domains;Familiarity with physics modeling and approximation techniques;Strong proficiency in written English (C1+).Process OverviewApplication → Qualification Assessment → Project Participation → Task Completion → CompensationProject CommitmentFor this project, anticipated task involvement is estimated at approximately 10–20 hours per week during active phases, varying based on project requirements. This is an estimation and does not guarantee a fixed workload during the project's duration.Compensation StructureContributors may earn up to $35 per hour, contingent on their skill level and contribution pace. Compensation can differ across projects based on their scope, complexity, and required expertise. Please be aware that other projects within the platform may offer varied compensation levels based on their specific needs.
We invite you to submit your CV in English, highlighting your English proficiency level.At Mindrift, we specialize in connecting talented professionals with project-based AI opportunities within leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project presents distinct challenges, and contributors may be tasked with:Designing innovative material engineering problems that replicate real-world engineering workflows;Creating problems that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive, incorporating numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Formulating problems based on genuine research challenges or practical engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis opportunity is ideal for material scientists and engineers with Python expertise who are open to part-time, non-permanent projects. Preferred candidates will possess:A degree in Material Science or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any other programming language considered equivalent;At least 2 years of professional experience, which may include applied work, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written communication skills in English (C1+ level).Project WorkflowApplication → Qualification Process → Project Engagement → Task Completion → PaymentProject Time CommitmentDuring the active phases of projects, tasks are estimated to require approximately 10–20 hours per week, based on specific project needs. This estimate is not a guaranteed workload and is applicable only while the project is active.Compensation StructureContributors on this project have the potential to earn up to $35 per hour, contingent on their contribution level and pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please be aware that other projects on our platform may offer different earning potentials.
Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI work for leading technology companies. The platform focuses on testing, evaluating, and improving AI systems. All roles are flexible and non-permanent. Role overview This freelance position centers on applying material science expertise and Python skills to help train and evaluate AI systems. Projects change over time, but the core work involves creating and validating engineering problems that reflect real-world scenarios. What you will do Design original materials that reflect authentic engineering challenges Create programming problems using Python for calculations and simulations Ensure tasks require computational work, numerical methods, or iterative solutions Develop projects focused on system design, optimization, and analysis Base problems on real research issues or practical engineering situations Verify solutions using Python and standard engineering libraries Document problem statements clearly and provide validated solutions Requirements Degree in Material Science or a closely related field Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years of relevant experience, including applied research or teaching Understanding of practical engineering constraints and approximations Excellent written English at C1 level or higher How to get started Apply Pass qualification(s) Join a project Complete tasks Get compensated Project commitment During active project phases, tasks usually require 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $35 per hour, depending on the nature and complexity of the project. Pay varies by project scope.
We invite you to submit your CV in English, along with your English proficiency level.Mindrift serves as a bridge between talented specialists and project-based AI opportunities with top technology firms, aimed at testing, assessing, and enhancing AI systems. This is a project-based role, not a permanent position.Key ResponsibilitiesWhile each project features distinct tasks, contributors may:Craft original computational physics challenges that replicate authentic research workflows;Develop Python-based problems (utilizing Numpy, SciPy, Sympy) for problem-solving;Ensure that tasks are computationally demanding and cannot be manually solved in a reasonable timeframe (spanning days or weeks);Formulate problems that require complex reasoning in physics domains such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research issues or practical applications found in physical sciences;Validate solutions using Python along with standard physics simulation libraries;Thoroughly document problem statements and provide verified solutions.QualificationsThis role is ideal for optical engineers proficient in Python who are open to part-time, non-permanent projects. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also beneficial;A minimum of 2 years of professional experience in applied work, research, or teaching;Experience with numerical simulation techniques;The capability to design problems that reflect real-world physics research processes;Innovative thinking in problem design spanning various physics fields;Knowledge of physics modeling and approximation strategies;Exceptional written English skills (C1+).Application ProcessApply → Meet qualifications → Join a project → Complete assigned tasks → Receive paymentTime CommitmentFor this project, contributors can expect to dedicate approximately 10–20 hours per week during active project phases. This estimate is subject to project requirements and is not guaranteed.CompensationContributors can earn up to $35 per hour, contingent upon their expertise and contribution pace. Compensation varies among projects based on scope, complexity, and required skills. Be aware that different projects may offer varying compensation levels.
We invite you to submit your CV in English, including your proficiency level in the language.Mindrift specializes in connecting skilled professionals with project-based AI roles at top-tier tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Note: This is a project-based engagement and not a full-time position.Opportunity Overview:While each project presents distinct challenges, contributors may be involved in:Crafting original computational physics problems that emulate authentic research workflows;Developing tasks that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that problems are computationally demanding, taking days or weeks to solve manually;Creating scenarios that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Designing problems based on real-world research challenges or practical applications in physics;Validating solutions through Python using established physics simulation libraries;Providing clear documentation of problem statements along with verified solutions.Candidate Profile:This role is ideal for physicists with Python experience who are interested in flexible, part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validations, with experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or any equivalent programming language;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience in numerical simulation techniques;A talent for designing problems that reflect real physics research processes;Innovative thinking in problem creation spanning various physics domains;Familiarity with modeling and approximation methodologies;Exceptional written English skills (C1+ level).Project Workflow:Apply → Pass qualifications → Engage in a project → Complete assigned tasks → Receive compensationProject Commitment:During active phases, tasks are projected to require approximately 10–20 hours per week, contingent on project demands. This is an estimate and not a guaranteed workload during the project duration.Compensation:Contributors can earn up to $35 per hour, dependent on their experience level and contribution speed. Compensation varies by project based on scope, complexity, and expertise required. Please note that other projects on the platform may have differing pay scales based on their specific requirements.
Join our innovative team at Toloka AI as a Freelance Data Scraping Engineer specializing in Python. In this role, you will leverage your technical expertise to build and maintain efficient data scraping solutions that support our cutting-edge AI projects. Your contributions will directly impact our data management processes and enhance the quality of our AI models.
Role overview toloka-ai seeks a Computer Science Specialist with advanced Python skills to contribute to ongoing AI initiatives. This position is remote and open to candidates based in Israel. The main focus is on building and refining AI-driven projects. What you will do Develop and maintain solutions for AI projects using Python Collaborate with a team of specialists to drive advancements in AI technologies Work through technical challenges and share expertise with colleagues Location This role is remote for candidates located in Israel.
Are you passionate about the Hebrew language and eager to influence the evolution of artificial intelligence? As large-scale language models transition from basic chatbots to advanced tools for linguistic exploration, your expertise in Hebrew can play a vital role in this transformation. With high-quality training data, the future of AI can enhance educational access, align with cutting-edge research, and improve communication for Hebrew speakers globally. This journey begins with your knowledge and skills—we invite you to join us in shaping the next generation of AI.We are seeking Hebrew language specialists who excel in Hebrew grammar, syntax, morphology, spelling, phonology, and pragmatics. Your role will involve challenging advanced language models on intricate aspects such as verb conjugation, sentence structure, gender agreement, formal and informal speech, regional dialects, and the subtleties of Hebrew writing systems. You will meticulously document failure modes to strengthen model reasoning.On a typical day, you will engage with the model on various language scenarios, verify factual accuracy and logical consistency, capture reproducible error traces, and recommend enhancements to our prompt engineering and evaluation metrics.A Master's degree or PhD in Hebrew language, linguistics, or a closely related discipline is preferred. Experience with peer-reviewed publications, teaching, or hands-on linguistic analysis projects will be considered advantageous. Clear and reflective communication—demonstrating your thought process—is crucial.Are you ready to leverage your Hebrew language expertise to contribute to the AI knowledge base of tomorrow? Apply now and become part of the model that will educate the world.
We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in artificial intelligence for leading technology firms. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based role rather than a permanent position.Opportunity Overview:Each project you participate in will involve distinct tasks, which may include:Creating original optics problems that effectively simulate real-life physics research workflows;Ensuring that these problems are computationally intensive, requiring advanced solutions that cannot be resolved manually within practical time limits (days/weeks);Designing challenges that demand complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in authentic research challenges or practical applications from the fields of optics and physics;Clearly documenting problem statements and providing verified accurate solutions.Candidate Profile:This opportunity is ideal for optical engineers who are interested in flexible, non-permanent projects. We are looking for candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;At least 2 years of professional experience, which can include applied work, research, or teaching;Proficiency in numerical simulation methods;The ability to craft problems that reflect real-world physics research workflows;Creative problem-solving skills across various physics disciplines;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+ level).How the Process Works:Apply → Pass required qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time Expectations:During active phases, tasks are anticipated to require approximately 10–20 hours per week, based on project specifications. Please note that this is an estimate and does not guarantee a fixed workload.Compensation:Contributors can earn up to $35 per hour, depending on their contribution level and pace. Compensation may vary by project based on scope, complexity, and required expertise. Other projects on our platform may offer different compensation levels based on their specific requirements.
Toloka AI seeks a Freelance English Writer - AI Trainer for a remote contract role based in Israel. This position centers on developing and refining written materials that support the training of AI language systems. Responsibilities Create and edit English-language content designed for AI training tasks Select and organize examples and prompts to help AI models better interpret natural human communication Review and improve AI-generated text to ensure it reads naturally and accurately Location This is a remote role. Candidates may work from home anywhere within Israel.
Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join projects that blend journalism with artificial intelligence. This remote position is open to candidates located in Israel. The work centers on creating and refining content, always with attention to accuracy and relevance for real-world news and stories. Key responsibilities Take part in projects that use AI to generate and improve written content Support the training of AI systems to better understand and apply journalistic standards Adapt to a range of topics and formats, adjusting your approach based on each project's needs Location This role is fully remote but requires residency in Israel.
Role overview toloka-ai is looking for a Senior Consultant to join a freelance AI project. This remote position is open to candidates based in Israel. The role centers on working closely with major industry firms, using significant experience in both AI and consulting to guide projects and provide actionable insights. What you will do Collaborate directly with leading companies on projects focused on artificial intelligence Apply expertise to help design practical solutions and offer clear recommendations Draw on previous consulting experience with well-known organizations to inform project work Requirements Strong background in consulting and artificial intelligence Experience working with recognized companies Comfort with freelance, project-based assignments and remote collaboration