AI/ML Data Contributor

Role overview AI/ML Data Contributors at tsmg help improve machine learning models by handling a variety of tasks. Typical work includes data labeling, evaluating different types of content, and participating in user-focused testing. This role is open to candidates based in New York State. Project details Assignments differ in scope and format. Some projects…

Role overview tsmg seeks AI/ML Data Contributors based in New York, NY to help advance machine learning projects. Contributors play a key role by supporting data-driven tasks that improve model performance and reliability. What you will do Label and annotate data sets for use in machine learning systems Review and evaluate content to inform model development Take part in user-based testing, which may include assessments using devices or virtual reality tools Work format Projects differ in size, type, and requirements Assignments may be remote or require in-person participation Ability to participate in several projects over time

Role overview AI/ML Data Contributors at tsmg play a key part in supporting projects that improve machine learning models. The work centers on direct interaction with data, including activities such as labeling datasets, evaluating content, and participating in user testing. This position is based in New York, NY, with opportunities to contribute to projects across the United States. Project structure Assignments differ in both their format and scope. Some projects can be completed remotely, while others require in-person participation. In-person work may include device testing or VR testing sessions. Contributors have the flexibility to join a range of projects as they become available, with work organized on a task-by-task basis.

tsmg seeks an AI/ML Data Contributor in New York, NY to help improve machine learning models. This position involves hands-on work with data and offers the chance to support a variety of projects. Key Responsibilities Label data and review content to ensure accuracy and relevance Take part in user-based testing to refine AI systems Work on projects that may be remote or in person, including device and VR testing Work Structure This is a flexible, task-oriented role. Contributors may handle several projects and encounter a range of technologies and methods over time.

Project OverviewJoin us in a groundbreaking video data collection initiative aimed at enhancing the capabilities of AI systems in understanding American Sign Language (ASL) and Black American Sign Language (BASL). As a participant, you will record a series of short, voice-assistant-style commands, including everyday phrases and conversational prompts. This critical work fosters more inclusive technology for Deaf and Hard-of-Hearing individuals. Each contributor will complete approximately 1,000 brief video clips, with most being around 10 seconds long, which can conveniently be recorded in your own home using an Apple device.

About SciemoSciemo is at the forefront of AI innovation for consumer goods, providing technology that empowers businesses to make more informed, rapid, and human-centric decisions throughout the Integrated Business Planning (IBP) process. Our platform effectively transforms disorganized, isolated data into significant business outcomes. Through real-time assistance from our AI agents, we simplify complexity, enabling decision-makers to focus on what truly matters. Our headquarters is located in New York City.OverviewAs a leading startup, Sciemo is dedicated to advancing AI solutions for consumer brands. Utilizing machine learning, generative AI, agent-based systems, and graph technologies, we enable our clients to extract insights within seconds and achieve business impacts in minutes through our innovative products.We are seeking a Founding Member of Technical Staff to join our team, overseeing the development and deployment of sophisticated ML systems, reporting directly to Dan Wald, our Co-Founder & Chief AI Officer.RoleIn this dual capacity as a Data Scientist and Machine Learning Engineer, you will be instrumental in crafting, developing, and deploying the intelligent solutions that power our AI products. Your expertise will span the full spectrum of applied AI, including data science, machine learning, and large-scale production engineering. This role necessitates a combination of innovative model development and the engineering aptitude to deploy and sustain these models within robust, scalable infrastructures.You will collaborate closely with data engineers, product leaders, backend developers, and customer-facing teams to ensure our AI systems yield tangible value in real-world applications. As an early technical hire, you will help shape our AI strategy, establish technical standards, and create best practices for scalable applied AI.ResponsibilitiesDevelop and deploy AI systems that include:Architecting, building, and deploying ML/GenAI products on cloud infrastructure (AWS or equivalent).Designing and implementing end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Creating automated pipelines for continuous learning, model promotion, and performance monitoring.System architecture and reliability:Leading the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and reliability.

At Runway ML, we are pioneering the fusion of art and science through advanced AI technologies. Our vision is to create world models that unlock the next breakthroughs in artificial intelligence, going beyond traditional language models to tackle the most pressing challenges in robotics, healthcare, and scientific research. By simulating real-world experiences, we enable AI to learn and adapt like humans, accelerating innovation and creativity in unprecedented ways.Our team is composed of imaginative, compassionate, and ambitious individuals committed to making a significant impact. If you are inspired to build the extraordinary and thrive in a collaborative environment, we want to hear from you!About the RoleWe welcome remote applicants from across the US and London, with offices located in NYC, San Francisco, Seattle, and London.We are seeking an experienced AI Engagement Manager who will be pivotal in driving the success of our strategic partnerships. You will work closely with key clients to help them harness the power of Runway’s platform to revolutionize content creation. This role demands a blend of technical expertise, strategic insight, and proactive execution.Your ResponsibilitiesDevelop and maintain trusted relationships with C-suite executives at major partners, ensuring they evolve from mere customers to long-term allies in AI-driven creativity.Collaborate directly with top-tier creative teams from leading Hollywood studios and Fortune 100 companies, contributing to award-winning productions and cultural milestones.Function as a strategic internal partner, documenting current successful use cases and innovating new applications to influence Runway’s product roadmap and market positioning.Engage deeply with client accounts to identify their content challenges and propose tailored solutions utilizing Runway’s capabilities.Explore and prototype new markets and opportunities for our offerings.

Join Versapay as a Principal Product Manager - AI/ML! At Versapay, we transform accounts receivable (AR) into a strategic advantage for businesses.Inefficient AR processes can hinder cash flow and stunt growth. We eliminate friction, unlock working capital, and streamline momentum, providing finance leaders with the insights and control necessary to propel their businesses forward.Our platform automates accounts receivable, facilitating the collection and reconciliation of B2B payments. We connect finance teams, clients, and business systems in an integrated ecosystem that ensures cash flow clarity. With over 10,000 customers and 5 million companies transacting through our platform, we process more than 110 million transactions and $257 billion annually.Are you ready to be the next leader at Versapay? Read on!As a Principal Product Manager, you will significantly influence both our product offerings and your career trajectory. This position entails redefining the status quo, discovering ways to create value, and driving innovative technological experiences for our clients and their customers. We are on the lookout for a seasoned AI/ML Product Manager to enhance our product management team. You will design intelligent experiences on our platforms that cater to our customers, their clients, and Versapay employees. The ideal candidate will have a strong history of developing and launching machine learning-driven products that enhance customer experiences on a large scale. Your responsibilities will include crafting strategies for recommendation algorithms and applications that deliver user value. This is an exceptional opportunity to shape the future of how customers efficiently navigate invoice-to-cash processes across our platforms. You will oversee the product lifecycle from initial research and ideation to implementation and ongoing improvements. Your success will be evaluated through key commercial and customer success metrics. You will lead a cross-functional team comprising engineering, design, and go-to-market members to fulfill the needs of our customers and our organization. This role is pivotal in driving change in buyer behavior and operational processes, requiring adaptability and agility. Your intellectual curiosity, passion for product innovation, and proactive approach will guide our strategic direction.

Your OpportunityJoin our innovative team at LM Studio as a Software Engineer specializing in AI/ML Systems. We seek a dynamic individual who thrives at the crossroads of machine learning and systems engineering, enjoys tackling complex challenges, and is dedicated to crafting exceptional products.In this role, you will be responsible for developing and enhancing on-device inference engines and integrations for local large language models (LLMs) and advanced AI technologies within LM Studio. You will design and maintain the runtime that facilitates on-device model inference, provide immediate support for new models on launch day, and optimize performance across diverse hardware setups.Collaboration is key here. You will engage closely with model authors and upstream open-source communities (such as llama.cpp, MLX, and others) to ensure that LM Studio users access cutting-edge AI experiences.If you're passionate about bridging the gap between models and systems and care about delivering outstanding local AI-powered experiences for both users and developers, this position could be your next great adventure!

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

At Cedar, we recognize that the current healthcare system is a leading contributor to personal bankruptcy in the U.S., impacting over 50 million Americans annually. Seeking care often results in financial hardships, from diminished credit scores to wage garnishments. The situation is exacerbated by the rise of high-deductible health plans, making this challenge increasingly urgent.Cedar is on a mission to harness data science, innovative product design, and personalization to enhance the affordability and accessibility of healthcare. We aim to revolutionize the conventional 'one-size-fits-all' approach by implementing consumer-centric practices that lead to a superior healthcare experience.(Hybrid - NYC)The RoleCedar is dedicated to transforming the financial experience of healthcare. Our technology enhances patient billing and engagement, enabling providers to navigate a dynamic landscape while empowering patients to comprehend the costs of their care.We are in search of a visionary Principal Product Manager to shape the future of user interactions. You will spearhead the strategy and expansion of our foundational Personalization Framework, evolving Cedar Pay into a smart, predictive experience. This influential platform role will amplify the capabilities of our internal teams that build on your platform.What You’ll DoScale and Optimize the Personalization Engine: Transform our existing machine learning capabilities into a cutting-edge system that utilizes deep learning to provide timely messages, payment options, or insights, thereby alleviating friction in the patient financial journey.Own the Intelligence Strategy: Develop a multi-year roadmap for Cedar Pay’s AI vision, crafting AI-driven patient journeys that anticipate needs by leveraging Cedar’s proprietary data to meet patients with empathy and precision.Enable Product Squads: Serve as the internal advocate for consumer teams. Establish clear APIs, integration methods, and documentation to ensure the platform’s value is fully realized across the organization.Guide Front-End Experience: Collaborate closely with Product Managers and Engineering teams responsible for the user interface, ensuring effective utilization of the platform's intelligence.Drive Rigorous Experimentation: Promote a culture of hypothesis-driven development, utilizing extensive A/B testing to validate and enhance features.

Join asapp as a Lead AI/ML Engineer, where you will have the opportunity to drive innovation and create cutting-edge machine learning solutions. You will lead a talented team of engineers and collaborate with cross-functional teams to develop, implement, and optimize AI technologies that enhance user experiences. Your expertise in machine learning algorithms and passion for artificial intelligence will be pivotal in shaping our product offerings.

Artian AI is at the forefront of revolutionizing enterprise process automation through an innovative AI-driven approach, particularly in regulated sectors such as financial services. We are advancing the capabilities of AI Workflow Agents, fostering seamless collaboration and achieving the transformative results that traditional RPA and BPM tools have yet to deliver. Our ambition is to make AI-powered automation scalable, reliable, and adaptable, starting with financial services while recognizing its vast potential across various industries. Guided by a team of leading experts in AI research and enterprise innovation, Artian is pioneering the future of multi-agent automation in large-scale, mission-critical environments. Discover more about us at https://artian.ai/company.We are seeking a talented AI/ML Engineer to accelerate the enhancement of our groundbreaking AI platform. Ideal candidates will possess extensive expertise in Python, PyTorch, sklearn, embeddings, vector databases, graph databases, and LLM APIs (such as OpenAI, Claude, Gemini, Llama, Mistral, etc.), alongside skills in LLM prompt engineering, fine-tuning, and hyperparameter tuning. Familiarity with paradigms like RAG, AI agents, and multi-agent systems is essential. In this role, you will collaborate within a small cross-functional team, engaging across various components and services. Experience in a successful startup environment is a valuable asset.The opportunity before us is immediate, substantial, and immensely exciting, providing you with the chance to create meaningful products and address customer use cases at Artian. We are enthusiastic about our mission and look forward to your contributions in driving our journey forward!Note: This position is primarily on-site in New York, with some flexibility.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

About Us: At EvolutionIQ, our mission is to revolutionize the insurance claims process through cutting-edge technology, ensuring that those affected by injury or illness can lead their lives with dignity and stability. As we experience remarkable growth, we are actively seeking top-tier talent to join our team and help us scale our innovative solutions in the insurance sector. Our culture has earned us recognition as one of Inc.’s Best Workplaces for three consecutive years and a spot on Built In’s Best Places to Work for 2025 and 2026! Your Impact & Mission: In the role of Principal Software Engineer at EvolutionIQ, you will play a pivotal part in the architecture and delivery of the next version of our AI claims management platform. Your primary focus will be on designing and implementing three foundational systems: 1. Data Ingestion/Pipeline, 2. API Platform, and 3. User-facing Application. These systems will process tens of millions of documents daily, including unstructured data sources such as OCR and phone call transcriptions. You will harness the power of our proprietary EvolutionGPT platform and large language models (LLMs) to convert raw data into actionable insights, facilitating rapid, code-free deployment of new products in just two weeks. You will collaborate closely with leadership to set strategic technical direction for our business lines, particularly in Disability and Workers' Compensation. This role involves defining technical requirements, tackling intriguing technical challenges, and playing a significant part in transforming our 100+ person engineering organization, motivating them as we grow. With a strong emphasis on First Principles thinking, you will leverage extensive unstructured datasets and proprietary LLMs, including our EvolutionGPT platform, along with other advanced technologies, to innovate our claims guidance platform that processes vast amounts of medical documents and data streams.

We are excited to announce 10 openings for the 2026 AI/ML Research Fellowship, available for a duration of either 6 or 12 months, depending on your preference.This fellowship is designed to foster high-risk research: ambitious projects that may not yield immediate results but hold the potential for significant long-term impact.At imachines, we recognize that the current landscape of AI/ML research often prioritizes short-term and incremental findings, overshadowing crucial areas where our understanding of optimal model development is still lacking.Our mission is centered on pioneering research, aiming for breakthroughs that provide substantial improvements rather than contributing to an overwhelming number of marginally better papers.Fellows will be given the opportunity to dedicate approximately 80% of their time to their own research, with the remaining 20% allocated to assisting fellow researchers or engaging in broader research initiatives at imachines. Our primary focus lies in applied research, particularly in addressing online security challenges, while simultaneously supporting groundbreaking research that aligns with our overarching goals. With a user base in the hundreds of millions, we possess a unique vantage point on what solutions succeed at scale.Eligibility: Previous fellows and research staff have come from diverse backgrounds, including early-career researchers from institutions like Microsoft Research, FAIR, Mila, and MPI, as well as self-taught senior engineers transitioning into research roles.We value innovative contributions over traditional credentials; if you have conducted noteworthy work, we encourage you to apply. However, if you lack a portfolio of publications demonstrating your capability for independent research, this opportunity may not be suitable for you.Location: This fellowship is entirely remote, allowing candidates to reside anywhere globally, excluding sanctioned jurisdictions. Please note that we do not offer visa sponsorship.Deliverables: While we do not enforce strict targets, we emphasize research quality. Typically, fellows aim to produce 1-2 papers with accompanying code within a year, targeting reputable conferences such as NeurIPS, ICML, and ICLR. If the publication threshold is not met by the end of the fellowship, we will request a final report, which may be published as a blog post.For more detailed information, please visit: https://www.imachines.com/imi-ai-ml-fellowships-2025-2026-high-risk-research(imachines dot com slash imi-ai-ml-fellowships-2025-2026-high-risk-research)Application Process: Interested candidates should submit a brief bio or CV link via this page. Please include 1) your research topic of interest, 2) a brief overview of relevant prior work, 3) links to your GitHub, Google Scholar, or other profiles, 4) your preferred start date, fellowship duration, and any additional obligations during that time, and 5) a concise analysis of a relevant topic.

At Artemis, we are pioneering the future of AI-powered defense systems to empower businesses to effectively detect and counter threats in a landscape where AI combats AI on the cyber frontlines.We are supported by esteemed investors such as First Round Capital and Brightmind, alongside a coalition of leading operators in the cybersecurity sector.Our visionary founders, Shachar (former leaders at Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have successfully built, launched, and scaled cybersecurity solutions that have earned the trust of thousands of clients, leveraging deep expertise in customer needs, technology, and security to realize our ambitious vision.Our diverse and highly skilled team comprises software developers, AI researchers, security experts, and product designers from industry giants like Google, Abnormal AI, Wiz, Meta, AWS, CERN, and SentinelOne.As we expand our footprint, we are seeking passionate innovators to join our mission and enhance our growing clientele.Job OverviewArtemis is at the forefront of analyzing vast streams of data from cloud services, identity providers, network logs, and more. We are constructing a cutting-edge, large-scale AI-native data platform from inception and require outstanding AI/ML Engineers to help shape and realize this vision. You will collaborate with engineers who have designed some of the world’s most significant distributed systems.A key focus of this role involves utilizing agents as the primary classification and reasoning layer across our platform, enabling us to transcend traditional static rules and approaches, allowing for a deeper understanding and response to multifaceted security data.This position offers substantial responsibility and impact. You will engage with crucial components of our system, from LLM-powered classification and detection to extensive data processing and management.

At Runway, we are pioneering AI technologies that merge the realms of art and science to simulate the world. Our mission is to develop advanced world models that represent the cutting edge of artificial intelligence. We understand that addressing the world’s most pressing challenges—be it in robotics, healthcare, or scientific exploration—requires more than just language models. By simulating experiences and learning from failures, we can drive innovation far more rapidly than in real-world scenarios.These world models are poised to revolutionize storytelling, enhance scientific breakthroughs, and propel humanity toward its next milestones.We take pride in our diverse team of creative, open-minded, and ambitious individuals who are committed to making a significant impact. If you share our vision and are eager to create extraordinary solutions, we would love to connect with you.About the Role*We welcome remote applicants from across the US, with offices in New York City, San Francisco, and Seattle.We are seeking a driven and experienced individual to serve as an API Deployment Manager. In this pivotal role, you will collaborate with some of our most influential API partners to facilitate their use of Runway’s technology in transforming content creation. Achieving success in this position requires a blend of technical expertise, strategic insight, and practical execution.

Join the Thread AI Team!At Thread AI, we are committed to creating an AI-native workflow orchestration engine aimed at simplifying infrastructure for both enterprises and public sector organizations striving to maximize their AI capabilities. Our headquarters is located in the heart of New York City, where we are building a dynamic team of AI, product, and engineering professionals with a proven history of successfully designing and executing complex workflows and infrastructures.Our Engineering CultureWe take pride in our small yet highly specialized technical team that manages engineering, research, design, product, and operations. We believe that a flat organizational structure and a culture of collaboration empowers us to innovate faster and deliver superior products compared to larger, hierarchical organizations.About the PositionWe are seeking a talented Applied Data Scientist with a solid background in data engineering principles. This pivotal role will involve the design, development, and maintenance of efficient data pipelines, alongside optimizing data workflows to ensure the reliability and scalability of our data infrastructure. The ideal candidate will possess a blend of technical skills in data engineering, programming languages, and the ability to collaborate effectively across multidisciplinary teams.

Maven Clinic stands as the largest virtual healthcare platform dedicated to women and families, aiming to revolutionize healthcare access for everyone. Our award-winning digital solutions provide comprehensive clinical, emotional, and financial support in a single platform, covering areas such as fertility and family building, maternity and newborn care, parenting and pediatrics, as well as menopause and midlife. With over 2,000 employers and health plans leveraging Maven's integrated platform, we are committed to enhancing clinical outcomes, reducing healthcare expenses, and promoting equity in benefits programs. Our innovative approach has earned us accolades such as the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, we have successfully raised more than $425 million from leading investors in healthcare and technology. Explore more about our mission at mavenclinic.com.A Company Culture of Excellence – Maven Clinic proudly holds over 30 workplace and innovation awards, including:Fortune Change the World (2024)CNBC Disruptor 50 List (2022, 2023, 2024)Fortune Best Workplaces for Millennials (2024)Fortune Best Workplaces in Health Care (2024)TIME 100 Most Influential Companies (2023)Fast Company Most Innovative Companies (2020, 2023)Built In Best Places to Work (2023)Fortune Best Workplaces NY (2020-2024)Great Place to Work certified (2020-2024)Fast Company Best Workplaces for Innovators (2022)Built In LGBTQIA+ Advocacy Award (2022)As a Staff ML/AI Engineer at Maven, your responsibilities will include:Designing, building, and deploying AI-driven solutions utilizing models such as OpenAI and Gemini, implementing modern orchestration techniques like RAG and agent frameworks to enhance product experiences.Collaborating with product, data, and engineering teams to transform extensive healthcare data into actionable insights and intelligent workflows, enriching the care journey for members and providers alike.Creating robust ML pipelines and platform components that facilitate model experimentation, fine-tuning, and production deployment, emphasizing scalability, safety, and performance.Fostering collaboration...