Senior Electrical Engineer

Kindly submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.Project OverviewEach project …

Please submit your CV in English and specify your English proficiency level.Mindrift acts as a bridge connecting skilled professionals with project-based AI opportunities from top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.Role Overview:This role encompasses a variety of unique tasks per project, including:Crafting original computational engineering challenges that mirror actual engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally demanding and involve numerical methods or iterative solutions;Designing problems related to system design, optimization, and analysis;Creating scenarios inspired by genuine research challenges or practical applications from the engineering field;Verifying solutions using Python and standard engineering libraries;Clearly documenting problem statements and providing accurate verified solutions.Ideal Candidate:This opportunity is suited for engineers with Python expertise who are open to part-time, non-permanent projects. Candidates should have: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 knowledge of any programming language is acceptable;At least 2 years of professional experience, encompassing applied, research, or teaching roles;A strong understanding of practical engineering constraints and approximations;Excellent written English proficiency (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process:Application → Qualification → Project Engagement → Task Completion → CompensationProject Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $69 per hour, varying based on their experience and contribution pace. Compensation levels may differ across projects based on complexity and required expertise.

Toloka AI seeks a freelance Civil Engineer & Python Specialist to help train AI applications. This remote contract role is open to candidates based in New York, United States. The position brings together civil engineering expertise with practical Python programming to support Toloka AI’s projects. Key responsibilities Use civil engineering knowledge and Python skills to develop and improve AI solutions. Create educational materials that assist with AI training and development. Lead or join training sessions on engineering and programming topics. Collaborate with the Toloka AI team to enhance AI model performance. Requirements Strong foundation in civil engineering concepts and practices. Proficient Python programming skills. Experience with AI application development or training is a plus. Clear communication skills, both in writing and in training settings. Ability to work independently as a freelancer and coordinate with a distributed team.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift specializes in connecting experts with project-based AI opportunities for top technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. This is a project-based role and not a permanent position.Role Overview:Each project presents distinct tasks, and contributors may:Innovate original computational physics problems that replicate actual physics research processes;Develop problems necessitating Python programming to resolve (utilizing Numpy, SciPy, SymPy);Ensure the problems are computationally demanding and require more than reasonable timeframes (days/weeks) for manual solutions;Create challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research obstacles or real-world applications from physics;Validate solutions through Python using recognized physics simulation libraries;Document problem statements with clarity and provide verified accurate solutions.Candidate Profile:This opportunity is ideal for physicists with Python expertise who are interested in part-time, non-permanent projects. 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 is acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;An ability to create problems that reflect authentic physics research workflows;Creative problem-design skills across various physics domains;Knowledge of physics modeling and approximation methods;Strong command of written English (C1+ level).Process Overview:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Expected Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and does not guarantee workload.Compensation:Participants can earn up to $76 per hour, based on their level of expertise and contribution pace. Compensation varies by project, depending on scope, complexity, and required qualifications. Note that other projects may offer different compensation rates based on their specific requirements.

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities at leading tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. Note: Participation is on a project basis rather than permanent employment.About the RoleEach project presents distinct challenges, and contributors may be tasked to:Develop innovative computational physics problems that reflect authentic physics research workflows;Craft problems necessitating Python programming solutions (utilizing Numpy, SciPy, Sympy);Ensure the problems are computationally demanding, requiring extensive timeframes to solve (days or weeks);Formulate problems requiring complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research dilemmas or practical scenarios from the field of physics;Verify solutions using Python with established physics simulation libraries;Clearly document problem statements and provide verified correct answers.QualificationsThis opportunity is ideal for optical engineers with Python expertise who are open to part-time, non-permanent projects. We are looking for contributors who 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 knowledge of other programming languages is acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that replicate authentic physics research workflows;Creative approaches to problem design across various physics domains;Understanding of physics modeling and approximation methods;Strong command of written English (C1+ level).How It WorksApplication → Qualification(s) → Project Participation → Task Completion → PaymentProject Time ExpectationsFor this project, tasks are projected to require around 10–20 hours per week during active phases, depending on project needs. This is an estimate, not a guaranteed workload, and applies only while the project is active.CompensationContributors can earn up to $76 per hour, depending on their level and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Note that other projects on the platform may offer different earning potentials based on their respective requirements.

Toloka AI is seeking a freelance Biology and Python Specialist to help train and develop AI models focused on biology. This contract role is fully remote and open to candidates based in the United States, including New York. Role overview This position centers on applying biological knowledge and Python skills to support the creation and improvement of AI systems. The work involves contributing to projects that use artificial intelligence in biological contexts. Location This is a remote freelance role. Candidates may work from anywhere in the United States.

Mindrift connects experienced professionals with project-based roles in artificial intelligence, focusing on testing and improving AI systems for leading technology companies. This is a freelance, non-permanent position based remotely in New York, United States. Role overview As an Expert in Chemistry & Python, freelance AI trainers at Mindrift design and validate computational chemistry challenges. These projects require contributors to: Create advanced computational chemistry problems that reflect real research workflows Develop scenarios requiring Python programming to solve, using libraries such as numpy, scipy, and chemistry-specific packages Ensure that problems are computationally intensive and not feasible to solve manually within days or weeks Incorporate complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Base tasks on real-world research challenges or practical applications in chemistry Validate solutions with Python, following standard computational chemistry methods Document challenges clearly and provide accurate, verified answers Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued At least 2 years of professional experience in applied chemistry, research, or teaching Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or above) Process The typical process includes: apply, meet qualifications, join a project, complete assigned tasks, and receive payment. Time commitment Project work generally requires about 10–20 hours per week during active phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and pace. Compensation may differ between projects based on their scope, complexity, and required skills. Application note: Please submit your CV in English and include your level of English proficiency.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for leading technology companies. This freelance, project-based role does not offer permanent employment. Role overview This freelance AI Trainer position is open to candidates based in New York or elsewhere in the United States. Projects focus on materials science and Python programming, with each assignment presenting new technical challenges. The work is fully remote. What you will do Design materials engineering problems that reflect real-world engineering workflows. Create tasks involving Python programming for calculations and simulations. Develop problems that require computationally intensive approaches, such as numerical methods or iterative solutions. Build scenarios related to system design, optimization, and analysis. Base problems on authentic research challenges or practical engineering applications. Validate solutions in Python, using established engineering libraries. Document problem statements clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus. Minimum 2 years of professional experience (applied, research, or teaching). Strong understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. Project workflow Application → Qualification(s) → Project Engagement → Task Completion → Payment Time commitment Expect to dedicate roughly 10–20 hours per week during active project periods. Workload may vary depending on project needs and is not guaranteed. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution speed. Pay may differ by project, reflecting scope, complexity, and required skills.

We invite you to submit your CV in English, highlighting your proficiency level in the language.Mindrift serves as a bridge connecting talented professionals with project-based AI opportunities at leading technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based and not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may engage in the following tasks:Designing innovative material engineering problems that replicate authentic engineering workflows;Formulating problems necessitating Python programming for engineering calculations and simulations;Creating computationally intensive problems that demand numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in genuine research challenges or practical engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Material Science 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 is also acceptable;At least 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1 level or higher).Project Engagement ProcessTo get started: Apply → Pass qualification(s) → Join a project → Complete assigned tasks → Receive payment.Project Time CommitmentTasks for this project 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.Compensation DetailsContributors can earn up to $76 per hour, varying based on experience and contribution pace. Note that compensation may differ across projects based on their specific requirements.

Join Mindrift as a Freelance Python Data Scraping Engineer on our innovative Tendem project, where you'll play a pivotal role in developing specialized data scraping workflows that integrate both AI and human intelligence.As an AI Pilot, you'll work closely with Tendem Agents who manage repetitive tasks, while you apply your critical thinking and domain expertise to ensure the accuracy and quality of the data we deliver. This part-time remote opportunity is tailored for professionals with hands-on experience in web scraping, data extraction, and processing.About MindriftAt Mindrift, we bridge the gap between human expertise and AI technology. Our platform connects skilled specialists with cutting-edge AI projects from leading tech innovators, empowering them to unlock the potential of Generative AI through real-world insights.Role OverviewAs a Python Data Scraping Engineer, you will manage complex data scraping tasks that demand technical precision for web extraction and processing. You'll utilize tools like Apify and OpenRouter, as well as your own innovative methods, to achieve outstanding results.Key ResponsibilitiesLead end-to-end data extraction workflows across intricate websites, guaranteeing comprehensive coverage, accuracy, and reliable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) along with your custom workflows to expedite data collection, validation, and task execution while adhering to defined requirements.Ensure consistent extraction from dynamic and interactive web sources, adapting your strategies to effectively handle JavaScript-rendered content and evolving website behaviors.Uphold data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.CompensationEarn up to $32 per hour based on your experience and contribution pace. Compensation may vary across projects depending on scope, complexity, and required expertise.How to ApplyInterested candidates can apply immediately to qualify for projects that align with your technical skills, working on your own schedule. From coding and automation to refining AI outputs, you will play a vital role in advancing AI capabilities and their real-world applications.

We invite you to submit your CV in English, along with your level of English proficiency.At Mindrift, we connect talented specialists with dynamic, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Role Overview:Each project will present unique challenges, but typical responsibilities may include:Crafting original computational physics problems that replicate authentic physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring the problems are computationally demanding and cannot be manually resolved within a reasonable timeframe (spanning days or weeks);Creating problems that require sophisticated reasoning in areas of mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on genuine research obstacles or practical applications from the field of physics;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing confirmed correct answers.Desired Qualifications:This opportunity is ideal for physicists with Python experience seeking part-time, non-permanent projects. The 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 other programming languages considered equivalent;At least 2 years of relevant professional experience, including applied research or educational roles;Expertise in numerical simulation methodologies;Capability to design problems that reflect authentic physics research workflows;Innovative thinking in problem creation across various physics domains;Familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1 or higher).Application Process:To apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and receive compensation.Project Time Commitment:The anticipated workload for this project is approximately 10–20 hours weekly during active phases, contingent upon project requirements. Please note that this is an estimate and not a guaranteed workload.Compensation:Contributors have the potential to earn up to $76 per hour, based on their expertise and contribution pace. Compensation may vary by project, depending on scope, complexity, and required skills. Please be aware that other projects on the platform may have different compensation structures based on their specific needs.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, aiming to enhance the testing, evaluation, and advancement of AI systems. Please note that this is a project-based engagement, not a permanent role.Overview of the RoleWhile each project presents distinct challenges, contributors may:Devise original computational physics problems that emulate authentic physics research workflows;Develop problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensure that problems are computationally demanding and cannot be solved manually within practical timeframes (days/weeks);Create problems that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research challenges or practical applications within the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications We SeekThis position is ideally suited for quantum researchers proficient in Python, open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; equivalent skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language are acceptable;At least 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;Capability to design problems that reflect real-world physics research workflows;Innovative thinking in problem design across various physics sectors;Familiarity with physics modeling and approximation strategies;Strong written communication skills in English (C1 level or higher).How the Process WorksApply → Meet qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Time CommitmentTasks for this project are anticipated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $76 per hour, based on their level of expertise and contribution pace. Compensation may vary by project, reflecting its scope, complexity, and required skills. Note that other projects on the platform may offer different compensation rates based on their specific requirements.

Role overview Toloka AI seeks an AI Project Specialist with strong Python programming skills and a background in Computer Science. This position is fully remote and supports projects through the Mindrift platform. Collaboration is central to the team, with a shared focus on advancing AI technology. What you will do Use Python to support and develop AI projects on the Mindrift platform Collaborate with a distributed team to meet project objectives Participate in ongoing efforts to improve artificial intelligence applications Location This is a remote role based in New York, United States.

toloka-ai is hiring a Freelance Junior Journalist to join its AI training projects. This remote role is based in New York, New York, and focuses on producing and selecting content that supports the development of AI systems. Key responsibilities Write and edit material used to train machine learning models Curate quality content that improves how AI systems understand and perform tasks Help refine AI technology through your writing contributions Location details This position is fully remote, with a base in New York, New York, United States.

Role overview Toloka AI seeks a Freelance English Writer to support the training of artificial intelligence systems. This remote role centers on crafting clear and accurate written content that helps AI models better understand the nuances of English. What you will do Produce written materials to guide AI systems in recognizing language patterns, tone, and context Work independently from any location within New York, United States Apply strong language skills alongside technology to enhance AI comprehension of English Location This is a remote position based in New York, United States.

About EliseAIEliseAI is at the forefront of transforming essential sectors such as housing and healthcare. We recognize the universal need for housing and accessible healthcare, and we strive to make these vital services more attainable.By skillfully integrating AI agents into established workflows, we enhance operational efficiency, cut costs, and elevate the overall user experience.Housing: We simplify the rental journey by streamlining apartment tours, lease signings, maintenance requests, and ongoing communication with property management, ensuring that all housing needs are met in one seamless platform.Healthcare: EliseAI facilitates appointment scheduling, completion of intake forms, and enhances patient-provider communication, allowing users to prioritize health over administrative tasks.At EliseAI, we empower organizations to minimize manual processes, enhance accessibility, and provide a cohesive experience across critical services. Recently, we secured a $250 million Series E funding round led by Andreessen Horowitz to further our mission.The RoleWe are seeking a dedicated Customer Training Specialist to oversee a smooth onboarding experience for our clients as they implement our solutions. Collaborating closely with the Director of Customer Success and other departments, you will design and execute effective onboarding strategies. This position demands a combination of direct customer engagement, content creation, technical knowledge, and a proactive mindset to gather and apply client feedback.Key ResponsibilitiesLead comprehensive onboarding sessions with both new and existing clients, ensuring they fully understand our products and how to effectively utilize them.Create and deliver engaging training experiences, both in-person and virtually, customized to meet the unique needs of each client.Regularly solicit feedback from clients during the onboarding process, identifying improvement opportunities and implementing solutions to address any challenges.Serve as a liaison between clients and internal teams, advocating for client requirements and contributing to product improvements based on user insights.

Mindrift specializes in connecting talented individuals with project-based AI opportunities across leading technology companies. Our focus is on enhancing, evaluating, and testing AI systems to ensure they perform optimally in real-world applications. Please note that participation is project-based and does not constitute permanent employment.Role OverviewAs a Procurement & Supply Chain Consultant, you will leverage your expertise to create realistic disruption scenarios, outline expected outcomes and mitigation strategies, and critically assess AI-generated recommendations for their accuracy, completeness, and relevance to business needs.Key ResponsibilitiesDevelop realistic supply chain disruption scenarios (e.g., supplier delays, quantity modifications, logistics hurdles, quality failures) based on actual manufacturing and procurement experiences.Specify expected outcomes and devise suitable mitigation strategies for each scenario.Analyze AI-driven responses and recommendations against practical business logic.Evaluate outputs for accuracy, completeness, and relevance within ERP frameworks, particularly Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP).Engage in structured data creation and validation tasks adhering to established guidelines and frameworks.QualificationsA minimum of 4 years of hands-on experience in procurement, supply chain management, or purchasing, preferably within a manufacturing context.Deep understanding of procurement workflows, including purchase orders, vendor management, inventory control, and production planning.Proficiency with ERP systems, particularly SAP, Oracle, or Microsoft Dynamics 365.Demonstrated ability to conceptualize and articulate supply chain disruption scenarios and appropriate mitigation strategies.Comprehensive knowledge of various disruption types such as delays, shortages, quality issues, and logistics challenges.Familiarity with Incoterms and logistics and transportation management.Understanding of Bill of Materials (BOM) structures and production planning processes.Experience with supplier performance metrics (On Time In Full (OTIF), lead times, quality scores).Analytical skills to assess AI outputs against established business logic.Experience in data validation, structured data entry, or annotation tasks.Excellent written communication skills in English.Application ProcessTo apply, please submit your application, pass the necessary qualifications, and join a project where you will complete assigned tasks and receive compensation for your contributions.Project TimelineThis project is 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.CompensationContributors may earn up to $60 per hour, based on experience and project requirements.

Join accordion as an AI & Technology Training Associate, where you will play a pivotal role in empowering individuals with cutting-edge AI and technology skills. This position is ideal for tech enthusiasts eager to share their knowledge and contribute to innovative training programs.

Kindly submit your CV in English and specify your English proficiency level.Mindrift bridges the gap between specialists and project-based AI opportunities for top-tier tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based, not permanent employment.Opportunity OverviewEach project presents unique tasks, including: Crafting prompts to challenge AI capabilities; Assessing AI-generated outputs for accuracy, underlying assumptions, and logical consistency; Enhancing AI reasoning to conform to foundational principles and established standards; Utilizing structured scoring criteria to evaluate complex problem-solving scenarios.Ideal Candidate ProfileThis role is well-suited for legal consultants and attorneys experienced in US law who are open to part-time, non-permanent engagements. The ideal candidates will possess: A law degree (Bachelor, J.D., LLM, FLLM) relevant to the US context;A minimum of 2 years of legal practice experience within US jurisdiction;Exceptional written English skills (C1/C2 level);A reliable internet connection.Application ProcessSubmit your application → Pass the qualification process → Join a project → Complete assigned tasks → Receive payment.Project CommitmentDuring active phases, tasks are anticipated to require approximately 10–20 hours per week, depending on project demands. This estimation is not a guarantee of workload and applies solely while the project is ongoing.Compensation DetailsParticipants in this project can earn up to $75 per hour, contingent on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Please note that other projects on our platform may offer different compensation levels based on their specific requirements.

Join our innovative team at NBCUniversal as a Staff Software Engineer specializing in AI Infrastructure and Python development. This role involves designing, building, and maintaining scalable AI systems. We seek a passionate engineer who thrives in a collaborative environment and is eager to contribute to cutting-edge projects that impact millions of users.