Annotation QA Analyst - Content Platform

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.

Please submit your resume in English and include your English proficiency level. Toloka Annotators brings together people from around the world to contribute to freelance online tasks that help improve artificial intelligence. The platform connects skilled individuals with generative AI projects from leading technology companies, aiming to advance AI by including diverse perspectives and experiences. Role overview As a Freelance AI Trainer – English Annotator, you will support AI systems by helping them better understand and interpret information. Projects can include rating AI-generated content, checking for factual accuracy, or comparing different responses. The type and frequency of tasks depend on current project availability. Main responsibilities Review and analyze datasets, which may include text, images, or videos. Label or categorize content according to detailed project guidelines. Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear. Project details This freelance position is project-based. Tasks are available only when projects are active, and invitations to participate depend on your profile and current project needs. Compensation Pay rates depend on project scope and required expertise. AI trainers can earn up to $23 per hour.

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.

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.

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.

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 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, 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.

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.

This freelance, project-based role at Mindrift focuses on shaping how AI systems address real-world supply chain and procurement challenges. Work is fully remote, with candidates based in New York, United States. Mindrift partners with technology companies to test, evaluate, and improve AI tools. As a Supply Chain Consultant - AI Trainer, the main responsibility is to use deep industry expertise to guide AI understanding of complex business scenarios. Role overview Consultants in this role develop realistic supply chain disruption scenarios drawn from manufacturing and procurement experience. Tasks include outlining possible responses, defining expected outcomes, and reviewing AI-generated recommendations for accuracy and business relevance. The work also involves assessing AI outputs within ERP systems such as Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba/SAP, and helping to create and validate structured data according to set guidelines. What you will do Create supply chain disruption scenarios based on real manufacturing and procurement issues, including supplier delays, quantity changes, logistics problems, and quality failures. Define expected results and propose mitigation strategies for each scenario. Review AI-generated recommendations, checking them against established business logic and supply chain best practices. Assess outputs for accuracy, completeness, and relevance, particularly in the context of ERP systems. Contribute to structured data creation and validation following detailed frameworks. Requirements At least 4 years of hands-on experience in procurement, supply chain, or purchasing, preferably in manufacturing. Strong grasp of procurement workflows, including purchase orders, vendor management, inventory, and production planning. Direct experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365. Ability to design and analyze disruption scenarios and mitigation strategies. Understanding of disruption types: delays, shortages, quality issues, and logistics challenges. Knowledge of Incoterms and transportation management. Familiarity with Bill of Materials (BOM) structures and production planning. Experience analyzing supplier performance metrics like OTIF, lead times, and quality scores. Analytical skills for evaluating AI outputs against business logic. Background in data validation, structured data entry, or annotation tasks. Excellent written English communication skills. How participation works Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks usually require about 10-20 hours per week. Actual workload may vary depending on project needs. Compensation Project participants can earn up to $60 per hour, depending on experience and project requirements.

We invite you to submit your CV in English, highlighting your proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities for top-tier tech companies, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based role and not a permanent position.Key Responsibilities:Participants in this role will engage in various tasks, including:Crafting prompts to challenge AI capabilities;Assessing AI-generated outputs for accuracy, underlying assumptions, and logical coherence;Enhancing AI reasoning to ensure alignment with foundational principles and accepted standards;Utilizing structured scoring criteria to evaluate complex problem-solving scenarios.Qualifications:This position is ideal for legal consultants and attorneys with substantial experience in US law who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in law (Bachelor's, J.D., LLM, FLLM) relevant to the US legal context;A minimum of 2 years of legal practice experience within US jurisdiction;Exceptional written English skills (C1/C2 level);A reliable internet connection.Process Overview:Apply → Complete qualifications → Join a project → Execute tasks → Receive compensation.Project Commitment:This project anticipates a commitment of approximately 10–20 hours per week during active phases, subject to project demands. Please note this is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $75 per hour, depending on their experience and contribution pace. Compensation may vary across projects based on scope, complexity, and expertise required. Please be aware that other projects on the platform may feature different earning potentials 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.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for professionals interested in advancing artificial intelligence. The platform partners with leading tech companies to test, evaluate, and improve AI systems. This is a freelance, project-based role and not a permanent position. Role overview The Freelance Legal Advisor (US Bar Admitted) - AI Trainer position focuses on strengthening AI legal reasoning and performance. Work is fully remote, with the role based in New York, NY, United States. What you will do Create legal prompts that test and challenge AI systems Review AI-generated legal outputs for accuracy, logical structure, and underlying assumptions Refine AI reasoning frameworks to ensure alignment with established legal principles and standards Apply structured scoring to evaluate multi-step legal problem-solving by AI Requirements Juris Doctor (J.D.), Master of Laws (LL.M.), or a US-recognized law degree Minimum of 2 years legal practice within the United States Strong written English skills at C1 or C2 level Reliable internet connection Who this role suits This role is well suited for legal consultants or attorneys with US law experience who want flexible, part-time project work. How to apply To join, candidates submit an application, complete required qualifications, join a project, finish assigned tasks, and receive compensation. Project commitment During active projects, contributors typically dedicate 10 to 20 hours per week. Actual time may vary based on project needs. Compensation Earnings can reach up to $75 per hour, depending on experience and pace. Compensation varies by project scope, complexity, and required expertise. Other opportunities on the platform may offer different rates depending on specific requirements.

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.

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 presents unique challenges, where contributors might be involved in:Creating original computational engineering problems that mimic real-world engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Grounding problems on practical research challenges or real-world engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We SeekThis position is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;At least 2 years of professional experience, whether in applied, research, or teaching contexts;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project demands. This estimate is not a guaranteed workload and applies only while the project is active.CompensationContributors can earn up to $69 per hour, contingent on their experience and contribution pace. Compensation varies by project based on its scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels according to 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.

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.

The Content Platform team at Spotify focuses on connecting listeners with audio they enjoy, while supporting creators and distributors through a reliable and extensive catalog. Within this group, the Annotation Platform Ops team plays a key role in building interconnected datasets that drive Spotify’s machine learning systems for music, podcasts, and audiobooks. By combining human expertise with AI, the team aims to deepen content understanding and enhance the user experience across the platform. What you will do Oversee the collection and management of labeled datasets that support the Content Platform teams. Collaborate closely with Product and Engineering partners in the Content Platform R&D studio. Contribute to the development of datasets used for training, evaluating, and improving models and systems. Support the integration of human input with AI to improve content discovery and personalization. Requirements Interest in machine learning and AI-driven product development. Experience with data annotation, dataset management, or similar operational roles. Comfort working with cross-functional teams, especially in product and engineering. Ability to manage detail-oriented tasks while keeping broader project objectives in mind. Location This position is based in New York, NY.