Manager of Data Engineering (Python, AWS, Airflow, Snowflake) - Hybrid

Mindrift connects technical experts with AI-driven projects, focusing on the intersection of generative AI and specialized human knowledge. The company partners with technology leaders to deliver real-world solutions powered by collaborative intelligence. Role overview This part-time, remote contract position centers on advanced data extraction and processing for the Tendem project. As a Freelance Python Data Scraping Engineer (called "AI Pilot" at Mindrift), the role works within an AI-human hybrid system. Engineers collaborate with Tendem Agents, who handle routine tasks, while focusing on critical thinking and applying domain expertise to produce accurate, actionable data insights. What you will do Run end-to-end workflows to extract data from complex websites, delivering structured datasets with high accuracy. Use internal tools such as Apify and OpenRouter, as well as custom-built solutions, to collect, validate, and process data according to project needs. Adapt extraction methods for dynamic or JavaScript-rendered content and evolving site structures. Ensure data quality through validation checks, cross-source comparisons, formatting standards, and systematic verification before delivery. Optimize large-scale scraping with batching or parallelization, monitor for failures, and maintain resilience to minor layout changes. Requirements Minimum of 3 years of experience in data engineering, web scraping, automation, or a closely related technical field. Compensation Earn up to $32 per hour on this project, depending on experience and pace. Actual rates may vary by project scope, complexity, and required skills. Other projects on the Mindrift platform may offer different compensation based on their needs. How to apply Submit an application to this posting. After qualifying, join projects that fit your technical strengths and work on a flexible schedule. Tasks may include coding, automation, and refining AI outputs, all contributing to the advancement of AI and its real-world uses.

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.

Mindrift offers project-based roles for specialists in mechanical engineering and Python, supporting AI training initiatives for major technology clients. This freelance position is remote, open to candidates based in New York, United States, and centers on designing and validating engineering problems for AI systems. Role overview This role focuses on developing original computational engineering challenges that mirror real-world scenarios. Assignments include: Creating engineering problems that simulate practical workflows and research topics Designing tasks that require Python programming for calculations, simulations, and numerical analysis Building computationally intensive problems using iterative methods or numerical solutions Developing challenges related to system design, optimization, and engineering analysis Validating solutions in Python with standard engineering libraries Documenting problem statements and providing accurate, verified answers Requirements Bachelor’s degree or higher in Mechanical Engineering or a related field Strong proficiency in Python for numerical validation; familiarity with tools such as MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also accepted At least 2 years of professional experience in applied, research, or teaching roles Solid understanding of engineering constraints and practical approximations Excellent written English skills at C1 level or above Professional certifications (CMME, SAS, CAP) and experience with international or applied projects are considered advantageous Project process Submit an application Confirm qualifications Join a project Complete assigned tasks Receive compensation Time commitment Project tasks generally require 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Rates for this freelance role reach up to $69 per hour, depending on contribution, project complexity, and expertise. Compensation may differ for other projects on the Mindrift platform. Application instructions Submit your CV in English and indicate your English proficiency level.

Submit your CV in English and include your English proficiency level in the application. This freelance, project-based role with Mindrift connects electrical engineers and Python specialists to AI training projects for leading technology companies. Assignments focus on evaluating, testing, and improving AI systems through the creation and validation of challenging engineering problems. Role overview Freelance Electrical Engineers & Python Specialists work on projects that require designing computational problems reflecting real-world engineering workflows. Tasks often include: Developing engineering problems that simulate practical scenarios Creating problems that involve Python programming for calculations and simulations Ensuring problems use numerical methods or iterative solutions and are computationally demanding Designing scenarios related to system design, optimization, or analysis Basing tasks on actual research challenges or applied engineering cases Validating solutions in Python using standard engineering libraries Documenting clear problem statements and verified solutions Requirements Degree in Electrical Engineering or a closely related field Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued Minimum of 2 years of experience in applied engineering, research, or teaching Understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are a plus Project commitment During active project periods, the expected commitment is approximately 10–20 hours per week. Actual hours may shift based on project needs. Compensation Contributors can earn up to $69 per hour, depending on expertise and project pace. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Location: Remote , New York, United States

Please submit your CV in English and indicate your English proficiency level. toloka-ai partners with Mindrift to offer freelance, project-based work focused on advancing AI systems for major technology companies. This contract role centers on testing, evaluating, and improving AI models. Engagement is on a per-project basis and does not constitute permanent employment. Role overview This position calls for an optical engineer with strong Python skills to create and validate computational physics problems. The work involves designing programming challenges that reflect real research scenarios, particularly in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Each problem should require significant computational effort, often taking days or weeks to solve by hand. Solutions are verified using Python and standard physics simulation libraries. Key responsibilities Design original computational physics problems based on real-world research workflows. Create programming challenges using Python, with libraries such as Numpy, SciPy, or Sympy. Ensure problems are computationally intensive and require advanced reasoning. Develop scenarios across multiple physics domains, drawing from authentic research or practical applications. Validate solutions in Python using standard simulation tools. Document clear problem statements and provide verified solutions. Requirements Background in optical engineering with experience in Python programming. Degree in Physics (theoretical, experimental, or computational) or a related discipline. Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus. Minimum of 2 years' professional experience in applied research, teaching, or related fields. Experience with numerical simulation methods and physics modeling techniques. Ability to design problems that reflect real research workflows in physics. Creative problem-solving skills across various physics areas. Strong written English skills at C1 level or higher. Application process Candidates will need to pass required qualifications, join a project, complete assigned tasks, and will be compensated upon completion. Time commitment During active project phases, expect to commit approximately 10–20 hours per week. Workload may vary depending on project needs. Compensation Earn up to $76 per hour, based on expertise and contribution speed. Actual compensation depends on project scope, complexity, and required skills. Other projects on the platform may offer different earning rates. Location: Remote , New York, United States

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.

About the Position As a Senior Data Acquisition Engineer, you will take ownership of and enhance the systems designed for large-scale web data collection. Your responsibilities will include the design and maintenance of high-performance scraping and ingestion infrastructure that allows various teams to systematically add and manage data sources with reliability. This role is integral to the Data Engineering team, concentrating on creating scalable, observable, and resilient systems that effectively manage production data. You will collaborate closely with data engineers and product teams to elevate data pipelines and ensure that data acquisition processes scale alongside business growth. Join us to shape the future of AI-driven technologies and contribute significantly to impactful real-world applications. This position is based in our NYC office and operates under a hybrid working model.

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.

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.

We are seeking a talented and experienced Data Engineering Manager to lead our data engineering team at dev2. In this hybrid role, you will be responsible for overseeing the development and implementation of robust data pipelines and architectures using Python, AWS, Airflow, and Snowflake. Your expertise will help drive data-driven decision-making across the organization.

This freelance, project-based position with toloka-ai (via Mindrift) connects experienced professionals to projects focused on testing, evaluating, and improving AI systems for leading technology companies. The role is remote, open to candidates based in New York, United States, and does not offer permanent employment. Role overview The AI Trainer - Statistics & Python Specialist creates challenging computational statistics problems modeled on real-world mathematical research. Each problem should require advanced reasoning and substantial computation, often involving Python programming with libraries such as Numpy, SciPy, and Sympy. Problems must be complex enough that they cannot be solved manually in a reasonable timeframe. Scenarios should reflect genuine research challenges or practical applications in mathematics, including topics like number theory, combinatorics, graph theory, and numerical analysis. Each problem requires clear documentation, a verified solution, and validation using Python and standard mathematical libraries. Requirements Degree in Statistics or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is valued Minimum 2 years of relevant professional experience (applied, research, or teaching) Strong written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered a plus Project process Apply by submitting a CV in English and stating English proficiency Complete qualification steps Join a project when matched Work on assigned tasks Receive compensation for completed work Time commitment Active project phases typically require about 10–20 hours per week. Workload may fluctuate and is not guaranteed outside of active project periods. Compensation Rates can reach up to $73 per hour, depending on expertise and task completion rate. Compensation varies by project, reflecting complexity and required skills.

Please submit your CV in English and specify your English proficiency. Mindrift connects professionals with project-based AI work for leading tech companies. The platform focuses on testing, evaluating, and improving AI systems. This is a contract position, not a permanent role. Role overview This freelance, remote position centers on creating and validating advanced computational physics problems to help train AI systems. Projects are open to candidates located in New York, United States. What you will do Design original computational physics problems that mirror real research workflows. Create problems that require Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy. Ensure problems demand computational methods rather than manual calculation. Develop tasks involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on real-world research challenges or practical physics applications. Verify solutions using Python and standard physics simulation tools. Document each problem clearly and provide accurate, verified answers. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued. At least 2 years of professional experience (applied, research, or teaching). Background in numerical simulation methods. Ability to design problems that reflect authentic physics research. Creative approach to problem design across multiple physics disciplines. Knowledge of physics modeling and approximation techniques. Excellent written English (C1 level or higher). Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Project commitment Tasks usually require 10–20 hours per week during active project phases. Actual workload may change depending on project needs. Compensation Earn up to $76 per hour, depending on expertise and task completion rate. Pay varies by project, based on complexity and required skills. Other Mindrift projects may offer different rates according to their requirements.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based contract with toloka-ai (via Mindrift) offers physicists the chance to shape and evaluate AI systems for leading technology companies. The work centers on testing, improving, and designing computational challenges that reflect real research in physics. This is not a permanent employment offer. Key Responsibilities Design computational physics problems that align with real research workflows. Create programming challenges requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop problems that are computationally intensive and cannot be solved manually within a reasonable time. Craft advanced scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on genuine research issues or practical physics applications. Validate solutions using Python and standard simulation tools. Document each problem clearly and provide verified answers. Requirements 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, or SciPy is a plus. At least 2 years of applied research or teaching experience. Background in numerical simulation methods. Ability to design problems that mirror authentic research workflows in physics. Creative problem-solving skills across diverse physics topics. Knowledge of modeling and approximation techniques. Strong written English skills (C1 level or higher). Project Process Steps include: Application, Qualification Process, Project Participation, Task Completion, and Payment. Time Commitment Project tasks typically require 10–20 hours per week during active phases. Actual workload may vary with project needs. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Compensation varies by project scope and complexity. Other projects on the platform may offer different earning levels based on requirements.

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. Projects focus on testing, evaluating, and improving AI systems. All engagements are temporary and do not establish a permanent employment relationship. Role overview This freelance, remote position is available to candidates based in New York, United States. Each project introduces a new set of challenges related to computational physics and quantum research. Contributors may work on tasks such as: Designing original computational physics problems that reflect real research workflows Creating problems requiring Python programming solutions, often with Numpy, SciPy, or Sympy Ensuring problems are computationally intensive and not solvable manually in a short time Developing scenarios involving mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on genuine research challenges or practical physics applications Validating solutions in Python using standard physics simulation libraries Documenting problem statements clearly and providing verified correct answers Requirements 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 domain-specific libraries is valued At least 2 years of professional experience in applied, research, or teaching settings Background in numerical simulation methods Experience designing problems that mirror real research workflows Creative approach to problem design across multiple physics domains Understanding of modeling and approximation techniques in physics Strong written English at C1 level or higher Application process Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload varies according to project needs, and hours are not guaranteed outside of active assignments. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Rates differ by project based on scope, complexity, and required skills. Other projects on the platform may offer different pay levels depending on their requirements.

Join Our Team as a Data Engineer Co-opAt Megazone Cloud, we are seeking a passionate and innovative Data Engineer Co-op who thrives on building solutions and tackling real-world customer challenges. If you have a curious mind and a proactive attitude, we want to hear from you!This is your chance to dive into the world of data engineering, transitioning from academic theories to hands-on professional experience. We embrace a versatile skill set, ideal for those ready to engage in a dynamic environment and learn a modern tech stack through practical involvement.Your RoleHands-On Contribution: Become an integral member of our technical team, actively participating in the development and maintenance of our data pipelines that drive business and client solutions.Mentorship Opportunities: Work alongside experienced engineers under a mentorship model that aims to enhance your technical skills.Development Tasks: Write, refine, and optimize Python and SQL code for process automation and data workflow management.Project Engagement: Attend team meetings and contribute fresh insights during technical discussions and design sessions.Tooling Exposure: Gain practical experience with technologies such as AWS, Databricks, and Snowflake.Collaborative Work: Collaborate with data science and infrastructure teams to understand how high-growth startups scale their operations.Your Profile (Requirements)Education: Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, or a related technical discipline.Timeline: Anticipated graduation date of December 2026 or later.Core Skills: Experience with Python and SQL through academic projects or coursework.Foundational Knowledge: Strong understanding of data structures, algorithms, and database concepts.Mindset: A proactive builder mentality with a strong desire for technical growth.Communication Skills: Ability to articulate technical concepts clearly and collaborate effectively within a team setting.Eligibility: Must be authorized to work in the United States.

Toloka Annotators seeks a Freelance Data Annotator to assist with AI training projects. This contract role is remote and open to those located in New York, United States. The work centers on labeling and annotating data to support the improvement of machine learning models and AI algorithms. Key Responsibilities Review data sets and apply labels following detailed project instructions Annotate information to help develop AI systems Support the accuracy and performance of machine learning models used in various applications Location This position is fully remote but requires residency in New York, United States.

Join Our Team as a Freelance Manager, Data & Analytics!SSCG Media Group (SSCGMedia.com) stands as one of the largest and most accomplished full-service, 100% pharma-focused strategic media planning and buying groups in the world, proudly affiliated with Omnicom.We are a dynamic and collaborative team dedicated to fostering a culture of curiosity, creativity, and continuous learning. Our core values—Substance, Style, Conviction, and Grace (SSCG)—guide our work and our relationships, and we are eager to see these values reflected in our candidates. We provide ample opportunities for our talent to grow, face challenges, and discover their passion.If you embody Substance, Style, Conviction, and Grace and possess the qualifications listed below, we want to hear from you!

Join The New York Times as a Data Engineer within our Partner Revenue team, where you'll play a crucial role in developing and deploying advanced data platforms for analytics and processing. In this hybrid position, you’ll design and implement data pipelines that empower data-driven decision-making. Reporting to the Director of Partner Revenue Technology, you will collaborate in a dynamic environment that values innovation and journalistic integrity.

Join our dynamic Engineering team as an Associate Staff Engineer specializing in Python development. We are looking for a passionate individual who thrives in a collaborative environment and is eager to contribute innovative solutions. In this role, you will engage in designing, developing, and optimizing software applications, ensuring high performance and responsiveness.